Finalists

Job Title
SVP, Head of Client Insights & Analytics

Current Employer
OppenheimerFunds Inc.

LinkedIn
https://www.linkedin.com/in/ashishbraganza/

Twitter
@ashishbraganza

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Analyzed optimization testing results using statistical methods.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
Ashish Braganza is one of the most dedicated, passionate and knowledgeable practitioners of digital analytics I have ever encountered in my career. His most recent achievement was building the analytics practice at Lenovo from $1M/yr to $7M/yr and the team size from 2 to 65 analysts in 6 years. During that time, he developed a data-driven personalization and optimization practice that delivered over $100M in incremental revenue to the business. Perhaps his most innovative and pioneering accomplishment at Lenovo was building an elastic cloud big data platform which now warehouses nearly 1.5 petabytes of data across all touch points of the customer journey. Finally, Ashish introduced Cognitive Analytics to his company, leading the development of conjoint, CLV, NLP, attribution and clustering models that leveraged proprietary machine learning algorithms to deliver a 10% increase in average unit revenue and a 16% increase in revenue for the direct business. Ashish headed Global Business Intelligence at Lenovo and regularly presented findings and results to senior leadership.

Primary Job Responsibilities:
Ashish was primarily responsible for digital analytics, business intelligence, data science, personalization and optimization, audience management and data engineering functions within Lenovo, managing a team of 65 analysts and having oversight of his department's revenue and expense.

Title of Project You Wish to Present at the Quanties Competition:
TBD

Project Description:TBD

Link to Work Sample:
https://wwwimages2.adobe.com/content/dam/acom/en/customer-success/pdfs/lenovo-case-study.pdf

Please share any additional comments
Ashish has spoken publicly at numerous conferences and events, including:

• Adobe Marketing Summit
• eTail West
• DA Hub
• Click Summit
• Predictive Analytics World
• Clicktale Customer Conference
• Shop.org
  Furthermore, he was awarded Marketer of the Month by Adobe in 2013 and has been nominated for several other awards, including:
  • The ANA Genius Awards in Marketing Analytics – Association of National Advertisers
  • Supernova Digital Marketing Transformation Award – Constellation Research
  • Practitioner of the Year – DAA
• Here are some links to a few videos that feature Ashish:
  • https://www.youtube.com/watch?v=m7A9RubgNcY- Lenovo
  • https://www.youtube.com/watch?v=BWTVMlPtGZk- Blueocean
  • https://www.youtube.com/watch?v=PqnesuXiveg- eTail
  • https://www.youtube.com/watch?v=yuRC-v79enc- Clicktale

Job Title
Director, Digital Analytics

Current Employer
Public Broadcasting Service

LinkedIn
https://www.linkedin.com/in/josephmiscavige/

Twitter
@joemiscavige

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:

1. Implemented time tracking for the majority of the PBS KIDS video players across desktop, mobile and OTT which has helped the PBS Children’s Media & Education group understand how users are interacting with content as well as helping to shape product development roadmaps to better support the platforms where users are most engaged.
2. Built and deployed a station-specific dashboard via Google Data Studio, providing stations new local data and insights for the recently launched PBS KIDS livestream service
3. The PBS KIDS digital livestream model that Joe built supports the initial hypothesis behind the decision to launch a 24/7 digital channel: namely, that users who interact with the livestream would be a more engaged user and spend more time, on average, with PBS content
4. The findings from the livestream model were presented to senior management on several occasions. They were also utilized in senior management speaking engagements and interviews.
5. The outcome of the initial dashboard project secured an innovation grant from the Corporation for Public Broadcasting to scale this project to the whole public television system helping stations understand the changing children's audience, measure community impact, and guide local programming and underwriting decisions.

Primary Job Responsibilities

• Develop and execute analytics implementation strategies to measure usage of PBS digital experiences.
• Manage the product lifecycle of digital analytics implementations from developing and maintaining tracking models to performing quality assurance measure implementation
• Create and implement measurement strategy and reporting infrastructure in order to drive site and product improvements.
• Translate digital analytics tracking needs into technical product requirements and document use cases and specifications with a keen eye towards feature evaluation and documentation.

Title of Project You Wish to Present at the Quanties Competition:
Measuring Local Impact: PBS KIDS Digital Livestream Dashboard

Project Description:
How do you provide specific Google Analytics data, which hinges on a specific custom dimension, to a wide swath of users who may not have access to Google Analytics or even if they do have access, don’t understand how to access the specific data that they are looking for? The PBS KIDS station dashboard built in Google Data Studio, provides stations new local data and insights for the recently launched PBS KIDS livestream service. The dashboard demonstrates at the local level how kids who interact with the livestream are more engaged and spend more time with PBS KIDS content, increasing their opportunities to learn.

Link to Work Sample:
https://drive.google.com/file/d/1dpJw1KuJjNiDgFlF-WPeMA0M1zWUuBNm/view?usp=sharing

Please share any additional comments
In addition to his work at PBS, Joe also serves as on of the DAA DC Chapter leads.

Job Title
Vice President, Analytics and SEO

Current Employer
Mower

LinkedIn
https://www.linkedin.com/in/maryo

Twitter
https://twitter.com/AnalyticsMary

Other Public Profile
maryowusu.com

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.
• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please elaborate on the accomplishments selected above or add accomplishments that aren't listed:
In this fast-paced digital world filled with buzz words like big data, AI, data mining, RankBrain, machine learning, etc. Mary has developed a one-sheet measurement roadmap that helps marketers pinpoint exactly what data is useful to their specific business needs and how to translate that data into the desired business outcomes that matter to the executive team.

Often referred to as a marketing plan on steroids, her innovative marketing Success Plan allows marketing and communication leaders across all sectors to overcome the age-old challenge of quantitatively proving marketing’s contribution to business outcomes that matter to the C-suite. The framework effectively bridges the gap between marketing and analytics while identifying and removing any technical, operational and administrative barriers to success. She's often found on stage at national conferences such as the ANA Masters of Marketing conference alongside speakers from Google, Adobe, Xerox and IBM, speaking to marketing leaders about the power that the Success Plan has to steer organizational strategy in a way that transforms the world around them while empowering their employees and giving back.

Primary Job Responsibilities:
Mary Owusu leads the analytics and organic search (SEO) disciplines at Eric Mower + Associates. With a strong background in performance measurement, Mary specializes in translating complex data into conversations about the trends and behaviors happening within a marketplace, then provides a roadmap of how businesses can use those insights to gain a competitive advantage. Her past and present client list includes Ford, Chiquita Banana, Truly Good Foods, Welch Allyn, and Siemens.

Title of Project You Wish to Present at the Quanties Competition:
THE ONE-SHEETER THAT EVANGELIZES ANALYTICS LIKE A G!

Project Description:
Meet the Marketing Success Plan. The one-sheet measurement roadmap used to align your marketing efforts to your desired business outcomes, while identifying and removing barriers to marketing success.

Link to Work Sample:
https://drive.google.com/file/d/1tniVYjcX8exFOB5Unzg10iNdC83FER9y/view?usp=sharing

Please share any additional comments
Mary is dynamite! She a big personality with an always-on brain. Wait till you meet her.

Company URL
www.google.com/analytics

LinkedIn
https://www.linkedin.com/showcase/10476436/

Twitter
@googleanalytics

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
04/30/2018

Technology Description:
Google Data Studio empowers marketers and analysts to make better decisions by easily accessing siloed data and creating beautiful, dynamic reports and dashboards that can be shared across the organization.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
Numbers are confidential.

Please provide an explanation of why this technology is notable for the analytics industry.
Google Data Studio allows non-analysts (marketers, executives, agencies) to access previously important data without being experts in the tools and data sets. Data Studio reports are interactive and dynamic for the user and easy to connect to the data, create, and share, for the creators. As a result, Google Studio democratizes data and empowers analysts to do more and have a greater impact on their organization.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.
Website
Help Center
Report Gallery

Please share any additional comments
Product is currently in beta, general availability date is estimated but will be before the awards.

Company URL
https://www.observepoint.com

LinkedIn
https://www.linkedin.com/company/observepoint/

LinkedIn
@ObservePoint

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
03/27/2018

Technology Description:
Thanks to its powerful and comprehensive newly engineered Assurance Platform, ObservePoint helps companies build, monitor and manage their data collection strategy across all platforms, from simple websites or Apps to complex digital ecosystems comprised of e-commerce platforms, social networks or video platforms. More than ever, Chief Data Officers, digital analysts, digital project managers and business owners need targeted information and data accuracy to manage their business model shift or to build and secure their digital strategy. The capacity to handle end-to-end business models is now critical to produce actionable insights while securing GDPR compliance. The new ObservePoint Assurance Platform helps build data collection strategies and models, as well as monitors tag and data compliance, to overcome the pain of unmanageable high frequency changes in content and campaigns or new releases.

The new ObservePoint Assurance Platform is comprised of multi-patented technologies and solutions dedicated to:

• Deploying online business strategies and applying business goals with our unique integrated tagging plan and business rules model
• Preparing data relevance through our smart user journey management
• Monitoring data collection with our new tagging compliance and efficiency engines
• Managing data governance in our fully customizable report suite and notification center.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
ObservePoint technologies are used by tens of thousands users in the world. The current ObservePoint SaaS Platform is widely used by hundreds of companies, including many Fortune 500 businesses, thousands of brands in the world, and numerous major digital agencies. In March 2018, Adobe, partnering with ObservePoint, will launch Adobe Auditor powered by ObservePoint, the first digital analytics audit solution embedded in the widest adopted professional digital analytics solution: Adobe Analytics. This partnership brings the power of ObservePoint to exponentially more users, as the ability to audit their Adobe Analytics implementations will no reside within the Adobe Marketing Cloud.

Please provide an explanation of why this technology is notable for the analytics industry.
The ObservePoint Assurance Platform delivers the best aspects of innovation and iteration to the core values that ObservePoint has long provided to the analytics industry. The following points highlight these improvements and new technology offerings:

• The ability to audit digital property pages even more quickly than before. The new ObservePoint Assurance Platform can audit thousands of pages in minutes, providing analysts insight into the performance of the data collection technologies at record speeds.
• More customized reporting empowers analysts to communicate reports, in real time, in ways that will better engage other stakeholders in the organization with increased visualization and data sets selection abilities.
• Robust API to increase ease of use and efficiency.
• Audit-based tag hierarchy system shows analysts quickly, and visually, the relationship of all technologies on their digital properties.
• Persona-based audits and journeys in the new ObservePoint Assurance Platform bring deeper levels of insight to analytics teams than ever before. While ObservePoint has always provided the critical value of audits and journeys, the new platform now also offers the ability for ObservePoint users to validate the same audits and journeys from the perspective of different personas as defined by account users. This will provide analysts even deeper insight into how their technologies are performing, and how various personas experience these levels of performance.
• Advanced notification system: one of the most requested and critical elements in the new platform, the new advanced notification system will empower analysts to communicate quickly across the organization to multiple teams anytime there is a problem with their MarTech implementations. This will increase workflow value and efficiency for analysts using ObservePoint exponentially.
• Advanced permissioning outlines provided in the new ObservePoint Assurance platform enable analysts to leverage customized access to various reports and user settings within the ObservePoint platform. In providing greater access to analytics insight across their organization, analysts will continue to champion the importance of digital analytics and the mission critical value analytics teams provide today’s organizations.
• Tagging Plan feature is one of the most exciting and innovative elements of the new ObservePoint Assurance platform. Creating dynamic, accessible analytics documentation (also called SDR, tagging plan, etc.) has long been a pain point in the industry, Tagging Plan continually records and updates analytics documentation based on audit scan results.
• A new, robust rules library lets users create complex rules across a digital property, and is critical in helping organizations ensure their data collections are not only performing as expected, but are also compliant with new privacy and data laws legislation, like GDPR.
• Real Device Connect: ObservePoint’s solution for real-time tech implementation validation for Over-the-top (OTT), mobile, desktop and web technologies. The ability to run against ObservePoint’ robust rules engine makes this the first real-time, specified, validation technology for real device testing available anywhere.

Please provide links to the product documentation, specs, and any other supporting material you wish to provide.

Product documentation and links relevant to ObservePoint Assurance Platform are currently in development and can be provided upon request at the end of February 2018.

Please share any additional comments
ObservePoint Inc. was founded by Omniture Founder John Pestana and digital marketing veteran Rob Seolas. Because of their experience and proven track records in the digital industry, they had a better sense of the growing impact of tagging compliance and data governance issues than anyone else. ObservePoint is the first company to identify, produce and deliver a tag and data collection fixing model based on an industrial approach. Hundreds of companies, thousands of brands, and tens of thousands of users rely on ObservePoint solutions every day to manage critical situations in data collection and governance. Today, thanks to its new Assurance Platform, ObservePoint is now the definite leader--in terms of technology, best practices and business process--in data governance and management for online digital ecosystems.

Moreover, ObservePoint stays in front of the competition by anticipating market evolution and business needs and subsequently making its platform continuously compliant with end-to-end business needs and digital paradigm shifts. This forward-thinking strategy ensures ObservePoint partners and customers the most success in their markets. The most advanced digital agencies have chosen ObservePoint as their technology partner because of their unique approach, model and solution. The new ObservePoint Assurance Platform provides these agencies with valuable differentiating factors that help them delivering a better service at a faster pace. ObservePoint’s partners can now focus on higher value consulting services, while using the power of ObservePoint to automate and validate their clients are collection reliable data. These advantages also apply to technology partners. For example, Adobe chose the ObservePoint solution to power the Adobe Auditor engine embedded within Adobe Analytics, making it the only digital analytics vendor on the market to offer embedded tag and data compliance monitoring.

Company URL
https://tealium.com

LinkedIn
https://www.linkedin.com/company/tealium

Twitter
@tealium

Has this new technology been publicly available for less than 12 months from June 12, 2018?
Yes

Release Date:
01/01/2018

Technology Description:
Built on top of the omnichannel, multi-device data foundation of the Universal Data Hub, THINK is a natural product evolution providing machine-based intelligence on event and user-level behavioral data. Brands can now scale the value of their data foundation with more intelligent audience discovery and creation, along with the capability to influence same-session experiences in real time. Tealium THINK provides clients 3 core capabilities:

• Machine Learning Data Foundation Readines - In order to harness the power of machine learning, a customer’s data foundation must meet certain minimum requirements that are critical to ensuring accurate and significant predictions. Quality predictions and intelligent insights rely on comprehensive and high quality data. The first step for any organization beginning machine learning initiatives is to ensure a comprehensive and standardized data collection footprint enabling machine learning models to output high quality intelligence.
• Predictive Audiences - Predictive Audiences is a continuous and intelligent audience creation service that utilizes machine learning to identify the best audience segments for targeting. It works by analyzing a machine-learning-ready data foundation to create a decision tree with up to 30 levels. This creates the possibility to select from over 1 billion potential audiences. Customers can select the minimum size for the audiences to target and specify how many audiences are desired as the parameters for the service to identify the best audiences. The predictions on the decision tree with the highest potential are selected as the ideal audiences to target out of over 1 billion possibilities.
• Predictive Personalization - Predictive Personalization enables brands to influence same-session experiences in real time utilizing machine learning insights. With Tealium’s Universal Data Hub providing real-time data infrastructure and THINK providing real-time intelligence on the likelihood of individual visitors to convert, brands have access to insights in real time and can take action with those insights at the right time. THINK leverages the XGBoost (Extreme Gradient Boost) algorithm to produce sophisticated and accurate intelligence. This helps brands get to a segment of one for a truly customized, real-time experience at scale that’s only possible with machine learning insights and technology.

Product Adoption to date (quantify in terms of units sold, subscriptions, revenue, whatever you feel best demonstrates the popularity of the technology).
We are curating product adoption due to extremely high customer interest levels combined with the strict requirements for customer’s data foundation. At our user conference, 19.6% of attendees expressed interest in adopting the product.

Please provide an explanation of why this technology is notable for the analytics industry.
The sheer volume of customer data available to brands today has grown exponentially, creating massive data sets that are almost impossible for data professionals to analyze effectively. This is occurring at a time when technology has grown in sophistication to enable brands to engage customers in virtually limitless ways. Yet, to capture the promise of these new technologies, the analysis and activation of these massive data sets is critical.

Tealium’s Universal Data Hub is perfectly positioned to solve this data fragmentation and activation pain in the market. Tealium iQ Tag Management and Tealium EventStream API Hub power the collection and delivery of a comprehensive data set in real time. While Tealium AudienceStream powers robust data enrichment and unification to provide a single customer view that can be leveraged to drive 1:1 customer engagements and individual customer analysis in real time. However, until recently, the power of this product suite was limited to the time internal resources dedicated to managing data through the Universal Data Hub.

Tealium THINK uses machine learning capabilities to dramatically increase the scale at which this data can be used by analytics professionals, not only driving more and better insights, but directly driving action to better harness the value of these insights. THINK’s machine learning capabilities allow organizations to pour through these massive data sets to find the most statistically significant insights that allow the brand to leverage the full value of sophisticated customer engagement technologies.

Team Name
Evolytics

Team Members: List Names and Job Titles

• Lindsey Poulter, Data Visualization Analyst
• Krissy Tripp, A/B Testing Strategy & Analysis Manager
• Robert Newton, Data Engineering Manager
• Brian Johnson, Implementation & Optimization Director
• Tom Wilkins, Founder and CEO

Company
https://www.linkedin.com/company/evolytics

LinkedIn Profile for each team member

• https://www.linkedin.com/in/lindseypoulter
• https://www.linkedin.com/in/krissyt
• https://www.linkedin.com/in/robert-newton-9627a960
• https://www.linkedin.com/in/bcj19
• https://www.linkedin.com/in/tom-wilkins-0886282

Title of Project You Wish to Present at the Quanties Competition
A/B Testing Planning Tool

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Project Description

Evolytics serves as an enterprise strategic testing partner for an eCommerce client that has more than ten core websites with numerous product lines and brands to test across. In this role, Evolytics' work includes testing strategy and process development as well executional support.

Early in the work to build the client's testing practice, Evolytics identified a challenge with the cross-functional ownership for testing: empowering individual client teams to plan and analyze valid A/B Tests on the organizational roadmap while avoiding Analytics Team bottlenecks was paramount to proper scaling.

To solve for this, the Evolytics team created a suite of custom, Tableau-based enterprise testing tools, including:

• Executive rollup of test plan (what tests are happening when/where)
• Roadmap planning tool for in-meeting traffic allocation
• Sample size calculator with confidence & power parameters
• Test duration estimator
• Historical conversion estimator
• Test reads with significance & confidence Interval calculations

These tools empowered the individual teams for testing while ensuring sound execution.

Link to Work Sample

Client Issue
The client was quickly scaling their testing organization, and product owners wanted the ability to quickly estimate test duration for prioritization purposes without the need to ask an analyst to run historical conversion and traffic numbers. With more than one sample size calculator floating around, sample size estimates weren’t streamlined. Cross functional test planning meetings lacked productivity because there was always a need for an analyst to go back and “run the numbers” rather than having them ready during the planning session.

Analytics Team Solution
The Evolytics client team led the creation of a streamlined planning process tool that integrates Adobe Analytics data.

Using the open parameter sample size calculator, team members can input their desired start date, lift, confidence level, power, product category, and site being tested in order to identify their conversion rate, daily traffic count, sample size per recipe and test duration. By using visitor ids rather than daily unique visitor metrics, the unique visitor count was truly deduplicated over timeframes, taking another manual task out of the process.

A flight scheduler was also created, allowing project managers to see currently available traffic, accounting for planned tests, as well as and historical traffic and conversion on a calendar dashboard view. During planning sessions, project managers can reserve traffic live in the tool as they put together the test planning puzzle.

An executive summary tab allowed for a quick view of all tests as well as the required development time. Filter allowed executives to see tests by timeframe, product line, strategic goal support, or status (new requests, in development, live, or complete). Seeing the multiple product line view alleviated development oversight by allowing the cross functional testing team to space out the development process. By showcasing the product line and goal support, product managers were able to quickly answer high level strategic questions from leadership.

Sample Size Calculation and Test Duration Estimation:

Flight Scheduler:

Executive Rollup:

https://drive.google.com/open?id=1Ja2jLxnjLjI1vbynVVSkE3Ppa8K090xV

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.

The Evolytics team built an end-to-end solution that enabled the client to automate the planning process for A/B Tests. The previous process allowed for many points of failure, such as inconsistent historical data pulls or variations in sample size calculations.

Our solution was to create a self-service tool that minimizes the risk of error by using only one data source and allowing test planners to choose between a set list of the most common KPIs. Automated calculations alleviate the risk of human error, and the test roadmap summary slide helps shed light on overlap issues that occur when test ideas are developed in silos.

The Evolytics team was creative and resourceful in their enterprise testing tool strategy. With the client's long buying cycle, duplicative unique visitors were a difficult problem to account for when estimating historical traffic and test duration. By deploying the Adobe Data Warehouse API, the team was able to use visitor IDs to deduplicate unique visitor counts over any testing period without the expense of implementing clickstream. Also, using one large, consistent data source across the enterprise democratizes data and helps ensure data pulls are uniform when stakeholders have different personal perspectives on the best ways to slice and dice the data.

Evolytics held numerous discovery meetings with the client's Analytics team and stakeholders to assess their appetite for risk. This informed the statistical parameters built into the test planning tool. We empowered stakeholders to plan for and analyze A/B Tests that met the organization's standards, without feeling the need to earn a statistics degree. Customized training and documentation further increased the organization's comfort level with these tools and added to their embrace.

Please share any additional comments
Thanks for the opportunity to submit this nomination.

Team Name
Global Analytics and Operations team

Team Members: List Names and Job Titles

• Marc Gallman – Sr. Manager (Data Architecture)
• Santosh Nair – Sr. manager (BI)
• Tusharadri Mukherjee – Sr. Manager (Operations and Strategy)

LinkedIn Profile for each team member

• https://www.linkedin.com/in/marcgallman/
• https://www.linkedin.com/in/csanthoshnair/
• https://www.linkedin.com/in/tusharadrimukherjee/

Title of Project You Wish to Present at the Quanties Competition
Big Data Story at Lenovo

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Project Description
https://app.box.com/s/gxp1q00ohipx4pm79okh6spxw76014zf
Please download slide from above link.

Link to Work Sample
https://app.box.com/s/oh3a8hofqqrd0rraq5tcyllanj2s5pvs,
https://app.box.com/s/dqsks51poolphzf0v1ve5i93wd8r88oh

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.
5 years back, there were no big data systems in place for Lenovo. Most of the team worked in their respective silos working on excel and other basic data tools like Access. Then the global business intelligence team was established to enable Lenovo take the analytics leap. Once the team was established, they brought in different leads to head practices like data management, business intelligence, personalization and advanced data science. Over a period of 5 years, the success of the analytics team was evident since all the efforts generated - $ 105 mil in revenue, with over 750+ users of BI and dashboards globally and team size increasing to 100+ folks (from 2 folks initially)

Team Name
World Surf League Analytics Team

Team Members: List Names and Job Titles

• Rich Robinson (SVP Digital)
• Chris Culbertson (VP Marketing)
• Jamie Schallek (Director of Marketing)
• Rusty Parker (Analyst)

LinkedIn Profile for each team member

• https://www.linkedin.com/in/richardthomasrobinson/
• https://www.linkedin.com/in/christopher-culbertson-ph-d-122a72b/
• https://www.linkedin.com/in/schallek/
• https://www.linkedin.com/in/rustyparker/

Title of Project You Wish to Present at the Quanties Competition
Machine Learning Initiative

Has the achievement that this nomination is based upon been delivered between June 1, 2016 and December 31, 2017
Yes

Project Description
World Surf League (WSL) knew they had extremely engaged users (both on and offline) but they needed to identify them, segment them, and craft personalized brand experiences for them to keep them engaged. WSL needed to analyze initial on-site behaviors, demographics, and other identifying characteristics of their most active users and use Machine Learning to better understand how to grow user engagement.

Link to Work Sample
https://drive.google.com/open?id=1Y5IRagQ1GNFtd8QUKPZC6yovrgIC18ziShRqwIAAjD4

Describe how this team demonstrates excellence in their analytics work. Please give specific examples.
The World Surf League (WSL) is dedicated to celebrating the world’s best surfing on the world’s best waves through a variety of audience platforms. The WSL has been championing the world's best surfing since 1976, annually running in excess of 180 global events, including the elite Men's and Women's Championship Tour (CT). The CT is the world’s premier surfing series that crowns the men’s and women’s world champions at the conclusion of each season.

With a global audience, a highly unpredictable sport and a rapidly evolving distribution landscape, WSL Analytics focuses on capturing insight to deliver a best-in-class digital experience for fans. In practice, this means:

• Developing fast, flexible and scalable data infrastructure
• Integrating multi-platform data to provide holistic audience insights and improved user experiences
• Informing marketing strategy via deep insights into key fan segments
• Delivering real-time marketing insights to drive continuous performance and ROAS improvements
• Continuous innovation with data partners and distribution partners to remain at the cutting edge of analytics
• Commitment to ongoing face-to-face dialogue with fans to ensure their voice sits at the very top of the data stack WSL Analytics is fully embedded within the marketing, creative, digital product and commercial teams to deliver the best digital media experience and value offering to our fans. Team members are all highly active members of the Southern California surf community, and of course, avid fans of the sport of surfing.

Developing advanced analytics and ML capabilities in 2017 led to exponential grow in insights which in turn drove significant value to the WSL, and to fans. Specifically, advanced insights led to:

• A reduction in cost per conversion (where conversion = video play or content view on WSL web and app) by more than 50% from the start (March 2017) to end of the competitive season (December 2017), thereby more than doubling the efficiency of ad spend aimed at driving fan engagement and content viewership / consumption
• An improvement in targeting and efficiency driving a 30% increase in concurrent viewers to live competitions and a 31% increase in sessions per user to the WSL web and app, while maintaining a similar marketing investment year-over-year.

LinkedIn
https://www.linkedin.com/in/ciara-adkins/

Twitter
@ciaraladkins

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Developed or introduced a new KPI or other measure that is being used to drive decisions.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
One of our clients had a significant amount of data being collected through surveys. These surveys were measures of completion of tasks and general satisfaction. Based off of a user’s interaction with the site they were segmented into different groups that corresponded with site sections and each of those site section segments were further broken down into the tasks that led a specific user to qualify for the overall site section segment. So I created a dashboard in Tableau that broke down the results by both site section and task segments, and looked for optimization opportunities using a measure that we call the “NPS Proxy”.

Users were asked 2 questions in the survey: 1) Were you able to complete your task? 2) How satisfied were you with XYZ.com today? Completion had the potential answers “Yes”, “No”, and “Partially”, while the answers to the satisfaction question ranged from 1 to 5. Therefore it was necessary to come up with a quantitative overall measure of completion and satisfaction (which would be particularly difficult for completion which had qualitative values). Thus, we used a measure similar to Net Promoter Score (NPS) with some modifications for our purposes. NPS is traditionally used to answer a question like “On a scale from 1-10, how likely are you to recommend company X?” where users who respond 0-6 are called “Detractors” and those who respond with 9 or 10 are called “Promoters”. Thus, the traditional NPS calculation looks like this:

Here are our modifications for the metrics we used where “Sat” is Satisfaction and “Comp” is Completion:

So for our purposes those who gave positive responses were our “Promoters”. These were the users who responded with 4 or 5 in terms of Satisfaction and “Yes” in terms of completing their task. Similarly, those users who gave negative responses (Satisfaction: 1 or 2; Completion: “Partially” or “No”) were our “Detractors”. Thus, this gave us a measure that ranged from -100% to 100% that we could use to measure overall satisfaction and completion and also use this measure to look at our completion and satisfaction by each individual qualifying task. Using this metric we could look at the data and quickly identify the problem spots and where we should do a bit more digging.

For example (Apple is not one of our clients. These numbers were fabricated for this example):

Survey data—

Given this data we can find the NPS Proxy values—

Thus using this information, we’d see that it’s probably important that we look into the iPhone site section and the examine the process for viewing either iPhone X or iPhone 8 (highlighted in the table) since it has a negative completion for both proxy values and is a significant percentage of survey responses. Another task that might be important and interesting to look into would be comparing iPhone Models (also highlighted). The low Completion NPS Proxy with the high Satisfaction NPS Proxy, could indicate difficulty in the user completing a task but still an overall positive experience because of the site’s ease of use and simplicity of the site.

Primary Job Responsibilities
Implementing client tagging solutions, analytics solution audits, analytics solution quality assurance, and dashboard design and execution.

Please share any additional comments
Ciara was recently promoted due to her accomplishments.

LinkedIn:
https://www.linkedin.com/in/samanthambarnes/

Twitter:
https://twitter.com/WhatSamLikes

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Analyzed optimization testing results using statistical methods.
• Produced analytics governance documents and/or monitored compliance.
• Mentored or trained others in the area of analytics or optimization.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
As a Manager in the Analytics & Insight department, Samantha Barnes positive impacts her clients, her coworkers, and her community; all while setting new internal standards for data visualization, leading through technical expertise, and developing a new

Primary Job Responsibilities
Manager, Analytics & Insight. Delivering high quality results to clients

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
Samantha Barnes - Quantie Application
Samantha Barnes

LinkedIn
https://www.linkedin.com/in/moekiss/

Twitter
https://twitter.com/moemkiss

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Produced analytic findings or models that led to a significant lift in their organization's KPIs.
• Mentored or trained others in the area of analytics or optimization.
• Presented analytic findings and recommendations to members of their employer's senior management team.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
Moe Kiss entered the digital analytics industry from an analyst role in the Australian Department of Defence, and has taken the analytics industry by storm! In less than three years in the digital analytics industry, Moe has:

• Learned the industry (and her role) from scratch, with little or no digital experience before;
• Spoken at industry events such as eMetrics and MeasureCamp, and has been invited to speak in 2018 at SuperWeek, Conversion XL and the-artist-formerly-known-as-eMetrics where she was recnognised for her efforts:
  • MeasureCamp Sydney 2016 – voted “best presentation”
  • MeasureCamp Sydney 2017 – voted “best presentation”
  • eMetrics San Francisco 2017 – presentation rated 3rd overall
• Taken on a leadership role (as President of the committee) in the Sydney analytics community, helping to run Sydney Web Analytics Wednesdays and MeasureCamp.
• Become co-host of the hugely successful Digital Analytics Power Hour (“DAPH”) industry podcast - THE podcast of the digital analytics industry, co-hosting with industry veterans Tim Wilson and Michael Helbling. Tim has noted, “Not only have we seen an uptick in the depth and quality of our discussions on the show since Moe joined, we have had numerous listeners reach out publicly and privately to tell us how great of an addition to the show Moe has been.”
• Moe is an advocate for inclusiveness and Women in Analytics with several blog posts on the topic. She works hard to share her learning with the community. She is a regular contributor to conversations in Measure Slack and doesn’t hesitate to help others with their analytics challenges. However, she isn’t afraid to ask questions either, and doesn’t pretend she has “learned it all” - she is constantly seeking to expand her skillset.
• On top of her community involvement, Moe is an analytics manager at THE ICONIC, the #1 online fashion retailer in Australia & New Zealand. In her short time in the analytics industry, she has learned Google Analytics 360, BigQuery, R, Tableau, Snowplow, SQL, and a variety of other analytics solutions and practices.
• Within THE ICONIC, she has contributed to business success via cross-device analysis, product stickiness and feature importance analysis, custom funnel analysis, NPS analysis and A/B Testing analysis. Her cross-device analysis entirely changed THE ICONIC’s strategy towards their websites, mobile sites and apps, due to the new insights they had about their customers’ behaviour. You can hear more about it in this episode of DAPH: https://analyticshour.libsyn.com/075-corralling-the-cross-device-visitor.In three short years, Moe has made a HUGE impact on the digital analytics industry, and we look forward to seeing what she will do next!

Primary Job Responsibilities
Analytics Manager

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
Her blog: http://www.moekiss.com/
DAPH: http://www.analyticshour.io/

LinkedIn:
https://www.linkedin.com/in/evan-vermilyea-390320112/

Github:
https://github.com/evrm1ya

Has this nominee been employed in an analytics role for 5 years or less?
Yes

Accomplishments:

• Introduced and/or implemented a new marketing technology that is delivering results for their employer.
• Produced analytics governance documents and/or monitored compliance.
• Mentored or trained others in the area of analytics or optimization.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
Evan is an innovator who ensures the success of his client partners. His approach to problem-solving is collaborative, creative and customized to the complex technical environments that exist across enterprise organizations. Being in the analytics industry for less than five years, Evan has done an extraordinary job at developing analytics processes and governance mechanisms that have translated into operational efficiencies for client organizations.

Evan recently worked with an Evolytics clients to establish a new technical performance indicator to understand the measurement of the Analytics Implementation Effect on Site Performance. This performance metric considers the weight of the analytics code on page load time.

• Analytics Challenge:
  There was pre-existing analytics code on the page that was more complex than necessary, causing page loads to be slower than targeted goals set by the client team.

• Analytics Solution:
  Evan evaluated the code and created an updated version that minimized the runtime on page load calls. For example, his new code decreased page load time on Android devices by 500 milliseconds. This solution is anticipated to have a significant impact to the business, as the client team believes that decreasing page load time is critical to increasing conversion rates.

  In addition to architecting the technical code to reduce page load time, Evan also created a Tableau-based report that monitors consistencies in beacon requests as implementation updates occur over time, providing alerts to team members when anomalies in analytics code instrumentation occurs. In addition, the report compares DOM Content Load Time and Page Load Time between implementation updates.

  Please reference the below work sample for the Analytics Implementation Effect on Site Performance Tableau Dashboard.

  In order to compare data at the variable level from implementation to implementation, Evan additionally created an Adobe Analytics Workspace report that monitors data collected in support of key metrics against the current implementation versus the new implementation.

  Data to populate the quality assurance reports is generated automatically using NightwatchJS. This customized data governance methodology is automated centrally within Adobe Analytics which provides the client team with an easy-to-access monitoring system.

• Analytics Results:
  Both data governance reporting mechanisms have been presented to senior leaders within the client organization and are relied upon to understand performance opportunities and make architecture decisions within the technical environment.

Primary Job Responsibilities
As an Analytics Engineer, Evan leads technical solutions development for his clients. At Evolytics, he quickly developed a reputation as a go-to problem solver for technically accomplishing the trickiest, most intricate measurement requirements. His job responsibilities include understanding business needs and ideating new approaches to data collection, developing code, and testing new analytics solutions.

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)

https://drive.google.com/open?id=1ItQ6VkOx4AkwSDcfq0-usLwjL6_t1e8d

Please share any additional comments
Keith Cheung, Director of Digital Analytics for Realtor.com, provides a powerful recommendation for Evan by saying, “Evan Vermilyea, our analytics technical development partner at Evolytics, is an excellent choice for Top New Practitioner-DAA Quanties because he always delivers beyond expectation. Evan stands out from other consultants I've worked with over the last 20 years of my career, because he goes above and beyond with his initiative and commitment to get the job done. He creates new, creative technical solutions customized to our complex technical environment, and provides thoughtful opinions and perspective to ideas that have evolved our analytics organization at Move/Realtor.com. He is in it at 120% every day. He is truly committed to helping our analytics team and the Realtor.com business be successful. I encourage those voting for Top New Practitioner to consider Evan Vermilyea for this award.”

LinkedIn
https://www.linkedin.com/in/vincent-wu-15b20918

Twitter
https://twitter.com/INMAorg/status/865211581361270787

Has this nominee been employed in an analytics role for 5 years or less?
Yes. Vincent joined the analytics space in 2015. Prior to that, Vincent’s professional work was mostly focused on strategy & management consulting.

Accomplishments:
The Huffington Post(‘HuffPost’), one of the world’s largest digital news publishers with 200M+ monthly visitors (via comScore) and 17 editions globally, was once operating primarily based on its leaders’ subjective ituition and experience in digital content creation. While this “ituitive” opering model supported HuffPost’s growth in 2010-2014 (the initial growth period of digital news media vs. print), it was under serious challenge in 2015 due to more competitor entries (e.g., Vice Media, Vox Media), catching-up by traditionally non-digital players (e.g., CNN), and more sophisticated digital distribution landscape (e.g. social, personalization, big data).

Vincent joined HuffPost in early 2015 because he believes in the power of data & analytics, and how analytics can disrupt the traditional ways of doing business in digital media. Prior to HuffPost Vincent was primarily focused on the corporate strategy and management consulting areas. Soon after Vincent started this new career track in analytics, he built an analytics team with 10+ people from scratch, developed a completely new approach to apply analytics insights to digital news content creation (the most importantly, how to ensure reporters, journalists, and video producers will adopt those analytics insights in their daily work), and started to measure success using metrics & analytics for the entire HuffPost newsroom. In less than two years, through Vincent’s leadership and fearless efforts, HuffPost made a tremendous operating model change from ituition oritented to analytics oritented, and achived a few signature wins and growth stories – widely considered as the results by embracing analytics:

• Grew social presence by adopting in-depth data analytics in audience, content, and distribution social strategy. Achieved “The Biggest Facebook Publisher” for two consecutive years in 2015 and 2016 (via Newswhip, source here)
• Grew video traffic and revenue by 5x in less than 10 months, by embracing contextual topic analytics in the video production process. By mid 2016, achieved ONE BILLION video views per month across platforms with only ~1/10 of production budget vs. other online video studios.
• Conquered one of the most difficult spaces in terms of applying data analytics – content creation and editorial operations. Vincent led the team and went very deep in content analytics – applying Natural Language Processing as well as Machine Learning in editorial analytics – and drove significant adoption in the newsroom of using advanced analytics to help topic selection, editorial strategy, and distribution optimization. Averagely we see 25% lift in articles with analytics support vs. articles without analytics support. Editors now love working with the analytics team because they understand analytics can improve their work performance! An example of the work can be found on this deck: https://docs.google.com/presentation/d/1UiQ-QcD7tKTPdzrqP-HQm1-UaWQU4_GuUpNXEtIcsv0/edit?usp=sharing

  Presentation at DAA New York Symposium 2016 on distributed content analytics: https://www.digitalanalyticsassociation.org/symposium2016-nycspk

• Established the Data Culture and Analytics as a Core Competency. Vincent and his team didn’t just settle on supporting other teams to use analytics and their recommendations. He built the culture of data together with senior leaders in the newsroom (e.g., the HuffPost Editor In Chief) and incentivated editors who embrace data in thei daily work. What’s more, he actively helped grow non-analytics professionals to learn and adopt analytics in their work, and gradually made HuffPost as a famous place in terms of the data-driven culture and the ability to apply data in decision-making. Example of articles describing the data-driven culture at HuffPost: https://www.huffingtonpost.com/entry/post-election-trump-fatigue-politics_us_5a6a3ed0e4b0ddb658c4b52b?uf
• Analytics as A Pillar: Under Vincent’s leadership, the analytics team has changed from being a reactive “service team” sitting in the corner, to a proactive team acting as the center of HuffPost connecting with all other pieces together (editorial, video, product, revenue, marketing, etc.). Today the analytics team has 10+ data professionals ranging from data strategists, data engineers, data scientists, and data analysts, making significant impact and influence to the top-management’s decision-making.

  Vincent’s Keynote Speaker presentation in Big Data forum by INMA (International News Media Association): https://www.inma.org/blogs/conference/post.cfm/how-huffington-post-looks-at-distributed-content

• Efforts to build new industry stand of success metric for digital media: Another innovative and impactful project Vincent led and launched was to use data analytics to solve a long-term & real issue in the digital media world: how to measure the real social impact of digital content (e.g. an investigative journalism article) when today most of the social platform traffic favors content like a ‘cats and dogs’ video? Vincent led the team apply data science and partnered with Universities such as The Smith College to develop the first-of-its-kind “Impact Score” in the digital media industry: https://docs.google.com/presentation/d/19pz6qhrH5wqWUQb0xVlMHN-kc4SjJFid0qELzNvjKx4/edit#slide=id.g328d73a60d_2_435

Because of the huge success in data & analytics, Vincent was promoted to the Head of Operations (COO) after serving 2 years as Director of Analytics. Vincent also takes an important seat in the top leadership team of HuffPost(See leadership team here). Also, Vincent’s job scope and responsibilities were also expanded from HuffPost only to now also include large digital news properties such as Yahoo.com and Aol.com. The scale Vincent’s team is now managing is enormous: 300M+ global audience and $800M+ annual advertising revenue in 23 countries.

Please feel free to elaborate on the accomplishments selected above or add accomplishments that aren't listed.
Overview of Data & Analytics at The Huffington Post
https://docs.google.com/presentation/d/1kpjwsinH3Lo-q4o-1L71AWNfDIgsC6iX_KYL9GvT4Yo/edit#slide=id.g3468fefca8_0_141

Primary Job Responsibilities

Head of Operations and Analytics (COO), HuffPost

Lead everything about Data, Analytics, Operations, Performance, Finance & Marketing at HuffPost. Particularly, strong focus on applying data analytics in daily news editorial and content production to drive:

• Audience development growth
• Monetization/finance growth
• Efficiency gain (with the same resource, how to maximize the yield?)
• Growth initiatives (measuring success and prioritization of investment)
• Audience acquisition and retention (own HuffPost’s marketing budget), by using advanced analytics techniques and models (e.g., LTV-based targeting)

Report to the CEO of HuffPost for all the key responsibilities above. Sit in the “Cabinet” of the company’s 6-person leadership team (CEO, Editor-In-Chief, Head of Operations, Video Lead, Product Lead, and Business Lead)

Relevant links to organizations served, project examples (e.g., PDF, PPT., etc.)
Analytics article published on HuffPost and Parse.ly:
https://www.huffingtonpost.com/entry/post-election-trump-fatigue-politics_us_5a6a3ed0e4b0ddb658c4b52b?uf
https://blog.parse.ly/post/7039/trump-fatigue-reader-engagement-post-election/

Employment start date with current employer
25/07/2016

LinkedIn:
https://www.linkedin.com/in/chiragdeshpande/

Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector?
Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector.

Please elaborate on the accomplishments selected above.

• Led the initial setup for the site and out of the box Analytics for – The Urban Brick. o The Urban Brick is a small business driving a Social Entrepreneurship program. The organization is based in California with the purpose of proving a helping hand to the society. The organization provides support towards helping educate underprivileged children in India through the sales of their products.
• Providing a comprehensive Analytics planning and strategy program.
• Reviewing all Google Analytics data captured on the eCommerce site.
• Providing support to review the dashboards and understanding the data to drive insights for paid and targeted advertising.
• Working on identifying paid and social media interactions and areas of investment to grow.

Primary Job Responsibilities

• Setup out of the box analytics tracking and reporting capabilities
• Tracking and reviewing dashboards on a weekly basis
• Providing support and expertise to understand the data being collected. Identify/recommend areas of opportunity and/or improvement.

Relevant links to organizations served, project examples
Theurbanbrick.com
https://www.etsy.com/shop/TheUrbanBrick

LinkedIn:
https://www.linkedin.com/in/bethany-hartley-1b668536/

Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector?
Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector.

Please elaborate on the accomplishments selected above.
Excited and inspired by the opportunities to make a difference in the lives of thousands of children, Evolytics sought out work with Children International (CI).

CI was working on a multi-year plan developed around a goal of serving 1M children by 2025, and data played an important role in the plan. In order to help fulfill the organization's growing data and analytics needs, a new Constituent Understanding & Insight (CU&I) group was formed. To help guide the growing CU&I team in its use of data, CI requested Evolytics to conduct an end-to-end audit of its programs data.

Given the client, and the opportunity to so directly use data to impact the world, Evolytics offered to subsidize the work. Given the breadth and highly strategic nature of the project, Bethany Hartley, Director, Marketing Analytics, chose to lead the project personally. Supporting her on the project was Evolytics CEO Tom Wilkins, who shared her passion for the organization as well as the work.

Bethany spent days on site with CI, interviewing individuals from analytics, operations, marketing, donor development, finance, and IT, to understand the wealth of currently available data: business questions currently answered by the data as well as new questions needing answers, processes for various kinds of data collection in the field, data aggregation processes, reporting needs, analysis needs, and processes for reporting and analysis execution, opportunities for future analysis and testing.

To ensure a comprehensive audit representative of all of CI's opportunities with data, Bethany used the Evolytics Data Lifecycle as a framework for the audit. She worked tirelessly to distill the disparate findings from each department and individual, find connections and synergies, and prioritize both the current successes and opportunities. She also provided creative ideation for solutions that took into consideration CI's unique operational challenges: multi-lingual operations, cultural contextualization of data, staff member safety considerations, limited internet connections, and limited access to transportation.

Bethany's audit deliverables to CI included a prioritized engagement plan focused on the top five most pressing needs across the Data Lifecycle, a presentation summary of the key findings and recommendations for each stage of the lifecycle, and a detailed written report of all findings and recommendations. These outputs were shared across the organization and have informed 2018 project charter prioritization as well as resource allocations.

Primary Job Responsibilities
With efficiency and scalability key to the success of CI's data strategy, Bethany's responsibilities for the data audit included 1) understanding the current state of data collection and management, 2) developing a future state of data to be collected and associated processes, and 3) building a roadmap to get to the future state based on organizational priorities and readiness.

Bethany's project approach to accomplish these three responsibilities included creating a project plan and timeline, managing client communications, interviewing cross-functional stakeholders, reviewing example reports and analyses and associated process flow diagrams, developing an audit framework, identifying themes and organizing information, ideating solutions, prioritizing recommendations, authoring a formal report, building a presentation, delivering a presentation, and facilitating discussion on action items.

Relevant links to organizations served, project examples
Client Website: www.children.org

Please share any additional comments
Susana Eshleman, CEO of Children International speaks highly of both Bethany and her work, "Bethany's commitment to our mission, and her constant focus on our goal of supporting 1 million children by 2025, produced a very comprehensive audit that addressed our successes and opportunities across the entirety of the data lifecycle. We were immediately able to take action based on the findings, and she's now leading several follow up projects for us, making a positive impact on our operations, and the world."

Bethany also notes, "With Evolytics I'm fortunate to have an employer that recognizes the limitless potential of data, and the opportunity that we, as analytics practitioners, have to drive meaningful change. What's more, Evolytics' supporting me and my time with an organization like Children International allows me to personally live our mission and use data to make a difference in the world.

LinkedIn:
https://www.linkedin.com/in/lisensee

Twitter
@leeisensee

Accomplishments

• Bringing over 4,000 digital marketing professionals and executives together for unpresidented access with-in the digital marketing community.
• Positively influenced; industry employment, understanding of vendor, agency, and Practitioner needs, group problem solving, and vendor interaction with end users.

Please elaborate on the accomplishments selected above.
With the growth of the popular communication platform Slack, Lee Isensee saw opportunity to create and give back to the analytics community that he's spent twenty years in, and created "Measure Slack." Measure Slack is a thriving, FREE educational, networking and community resource for anyone working in analytics and related fields.

Measure Slack currently has over 4,000 worldwide members, including 1,000 ACTIVE weekly users! Since its creation, there have been over 400,000 messages sent, and currently averaging almost 30,000 per month. There are channels dedicated to Adobe and Google Analytics, as well as broad topics such as data science (such as R), BI/data viz solutions (such as Tableau or Domo), tag management, testing and optimization, a job board, as well as the DAA and support for local community interaction (and many more.)

Lee has created a safe, supportive environment for analysts, vendors, and agencies to learn from each other, share knowledge, and grow as individuals, as well as for us to grow as an industry. This field evolves so quickly, that this kind of real-time collaboration and sharing is key to an analyst’s success, and Lee has created the perfect environment for it.

Managing such a community is no small task. To ensure that the trust of the community is not violated, and Measure Slack users aren't spammed or marketed to without their consent, Lee manages the addition of all users, including a manual verification of each new user’s identity. This ensures the continuing quality of the community and its contributors, but it is no small feat - these administrative tasks take significant time each week. There are also enforced “rules of conduct” to ensure that members have continued good experiences, which Lee monitors on an on-going basis.

Where there have been (rare) violations of the terms of Measure Slack use, Lee fairly deals with the offenders in a way that is in the best interests of the community. To ensure Measure Slack is not subject to the "rule" of one person, Lee consults a team of advisors when decisions need to be made on (for example) violations of the terms of Measure Slack.

On top of these responsibilities, Lee manages a related website to guide users in how to use Measure Slack, as well as an onboarding guide for new users and on-going channel maintenance, to make sure that it's a helpful (but not overwhelming) place for a newbie to come in to. When people have questions about how to use Measure Slack, Lee is there to guide them.

Additionally, Lee has created and manages a Measure Slack wiki to facilitate long-term retention of the fast paced conversations had in the Measure Slack channels, thus allowing Measure Slack to become a source of information for the users later on.

Here is what some community members have to say about Measure Slack:

"Measure Slack is without a doubt the best resource an analyst in our industry has. There have been many occasions where I asked a question, and had someone half way around the world take the time to help me out. Measure Slack is the epitome of our community, where analysts can help one another."
-Moe Kiss

“The Measure Slack team has become an absolutely crucial tool for analysts. Slack itself is taking the world by storm, but the Measure Slack — largely due to Lee’s time, effort, and thought — has become a near-perfect blend of the scale and community of Twitter with the organization and personalization of, well… there’s no comparison. It’s open to all… but Lee manages a low bar to entry so that everyone has to acknowledge some basic (but critical) guidelines. When hiccups have hit the community here and there, Lee has quietly and effectively dealt with them. I’ve come to rely on the community in very specific ways: for ‘discovery’ of news and topics and ideas (by browsing specific channels) to getting support on specific questions/problems (by posting in the relevant channel) to quickly having 1:1 discussions with a range of community members. We tout it on every episode of [our podcast, The Digital Analytics Power Hour] because all three of the hosts have seen and benefited from the power of the platform. Slack itself, of course, is ‘just a tool’ — it’s a powerful enabling technology. But, the Measure Slack itself has grown and continues to be such a great resource: 1) because it exists (and it was Lee’s idea), 2) it has clear guidelines for behavior (which Lee created and enforces on the rare occasions when it’s required), and 3) it’s well organized (which Lee has been on point to ensure a good balance between having enough public channels that there is always ‘the right’ place to have a discussion, without having so many channels that it is overwhelming).”
- Tim Wilson

The work Lee has done in creating and managing Measure Slack is a huge contribution to an industry that Lee has already given so much to, not only via his work, but also via his roles on as DAA Membership Committee Chair, co-chair of the Boston Local Chapter, involvement with the Standards Committee (co-author of Web Analytics Definition Guide), and even contributing to the W3C Data Layer Standards.

Measure Slack makes a difference in analysts’ lives, daily, and we are appreciative of the hard work Lee has put in to the creation, development and on-going management of this free community.

Additional information:
About Measure Slack: https://www.measure.chat/
Join: http://join.measure.chat/

Primary Job Responsibilities
Founder, Measure Slack

Relevant links to organizations served, project examples
About Measure Slack: https://www.measure.chat/
Join: http://join.measure.chat/

Accomplishments

• Served as a mentor or analytics evangelist to an under-served population.
• Used her professional position as a vehicle for organizing and/or engaging in acts of advocacy, public service, or charity.

Please elaborate on the accomplishments selected above.
June has clearly put the chapter leadership work in her top list, among her already many hats. She led 8 local chapter events in 2017, following 4 events in the second half of 2016. Her contributions are listed below:

• Led the end-to-end process from idea generation to organizing evening events, usually in different locations in Toronto.
• Drafted well-crafted emails, and coached volunteers like myself to make sure the communication to members are always top in class and professional, building a stronger DAA member volunteer pool in the Greater Toronto Area to sustain chapter momentum.
• Most importantly, she set up great examples of how the leader in this analytics community should look like, through her actions. Because of the high quality of our events, Mozilla, Tealium, Critical Mass and LoyaltyOne (AirMiles) are repeat event sponsors.
• Our events regularly attract 40-60 attendees, many of whom are not DAA members, giving us all great networking opportunities.

In March 2017, June approached DAA Executive Director, Marilee Yorchak, with the idea of a setting up a second chapter in Canada. Transferring the experience gained in the Toronto chapter (launched in 2014), she helped catalyze the launch of the Vancouver chapter, whose first meeting was held in February 2018.

Always interested in professional development, June introduced Marilee Yorchak to a new DAA instructor based in New York, helping support DAA educational efforts by expanding the instructor roster.

Primary Job Responsibilities

• Toronto Chapter Leader, DAA, leading evening events
• Co-organizer of the first DAA Executive Breakfast in Toronto attended by 12 Marketing leaders (Directors, VPs and CMOs)

LinkedIn:
https://www.linkedin.com/in/prolet/

Twitter
@proletm

Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector?
Contributed pro bono analytics work to a philanthropic organization, or an organization in the public or social sector.

Accomplishments

• Served as a mentor or analytics evangelist to an under-served population.
• Used their professional position as a vehicle for organizing and/or engaging in acts of advocacy, public service, or charity.

Please elaborate on the accomplishments selected above.
It is the work that Prolet does outside of her job that makes her a good candidate for this award. She runs MeasureCamp SF (which is no small feat!), volunteers through the DAA WiA program and also ran a WiA program for Autodesk and other SF organisations. She is an active member of the community helping run the SF DAA chapter and local events. She is often the first person putting up her hand to volunteer time and without people like this in our community, we would not have the incredible culture we have. She recently provided me with a great deal of support in running MeasureCamp Sydney, helping with logos, brainstorming, session planning and the like.

Primary Job Responsibilities
Prolet is Head of Web Analytics Platforms at Autodesk.

Relevant links to organizations served, project examples
NA - her work is event by the success of the events she helps run.

Company URL
Analyticspros.com

LinkedIn
https://www.linkedin.com/company/analytics-pros/

Twitter
https://twitter.com/analyticspros

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://drive.google.com/open?id=1BHQq-7j2xTfTsw5q8ZBTY43gUSwKqqXj
• https://drive.google.com/open?id=1q1o1fZHvsaOzQJnu7N8bcJ70X3ImdmVw

Case Studies

• https://docs.google.com/presentation/d/1i0VykRaKxhhI4NunV_xzBYXV7H4HLvBvsBY9oBqbQqs/edit?usp=sharing
  • July, 2017
• https://docs.google.com/presentation/d/1lj7GbgW3pntgJanciHVEMPkV0HHiiLl_P4M1Hw4aYQU/edit?usp=sharing
  • January, 2017

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
Analytics Pros created the moniker, Analytics Pros Academy (APA), to help foster an understanding and appreciation for digital analytics in our community as well as across the country. In 2016 and 2017, APA hosted several Veterans Trainings for veterans and their family members. These sessions were free and geared toward kickstarting new careers or interests in data post-service. Each session covered a variety of topics from digital analytics 101 to more specific tools, methods of analysis, and how to use the Google Analytics platform. As well, Analytics Pros has not only supported Medical Teams International in physical aid (bi-annual volunteering days, ongoing donations, and setup for their annual summer gala) but also provided MTI with pro bono website work.

Please share any additional comments
Analytics Pros is a digital marketing and analytics consultancy specializing in web & mobile app analytics, tag management, dashboards & reporting, SEM, web optimization, & telling the story of our clients' data. More than just numbers, data is the story of us!

Company URL
www.cardinalpath.com

LinkedIn
https://www.linkedin.com/company/cardinal-path/

Twitter
@CardinalPath

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://docs.google.com/document/d/1Qa8kee91ci7otzwKpkc-I-fFflImmtK7yT-GnA3u9_M/edit?usp=sharing
• • https://docs.google.com/document/d/11AGv1YNc4W9W7Vls7GgDrTwx8VnW8BBmqwCy_XK19v4/edit?usp=sharing

Case Studies

• https://docs.google.com/document/d/184mAoWSAOXv2P6FMzJkeBJ5FamiZIodPg9oeyDjsTPc/edit?usp=sharing
  • o June 2017 - and ongoing
• https://docs.google.com/document/d/1Pc9I3D1FgGg8O8vyoYDCEHwwvFMLXUJVAvyqar-piD0/edit?usp=sharing
  • August 27, 2017

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
https://docs.google.com/document/d/13gV2S2GDFjjwpxNGXwZ3QieCx2pxcLcPROA4zXPaQSY/edit?usp=sharing

Please share any additional comments
In the spirit of this ever-changing MarTech and analytics space, Cardinal Path has evolved and expanded while staying true to its core values: investing in process to set strategy free, engaging in the world to understand the data, doing business with integrity and valuing individual contributions while understanding it’s the team that makes the difference. Cardinal Path is a team that makes a demonstrable impact. Their clients are with them over the long haul – Cardinal Path has a 95% retention rate of top 25 clients, among them some of the biggest brands in the world. And yet this is still a scrappy firm, possibly due, at least in part, to the fact that its people love what they get to do every day. With a start-up mentality and just over 100 employees across North America, its sum is greater than its parts with a global, Fortune 1000 client roster that is rapidly multiplying.

The more Cardinal Path proves the business value of marketing analytics, the more organizations are willing to invest in data strategy. Through Cardinal Path’s advisory, expertise, leadership and straight-up hard work, brands are seeing the value in digital analytics and using this business value to re-invest in their internal analytics teams.

Cardinal Path are educators at heart. As of 2017, they had trained over half a million people worldwide, both through their partnership with Google (Google Partner Academy, which is run by Cardinal Path and trains agencies and marketers around the world), its own training division, Cardinal Path Training Academy, Lynda.com training sessions, and custom training for brands. This is a group that approach their work with the mindset of enablement and empowerment. Another of Cardinal Path’s core values is “sharing knowledge strengthens our own”. By enabling organizations to leverage their digital data, from technology implementation to surfacing insights, Cardinal Path is able to focus on advanced applications through data science, machine learning, and artificial intelligence, for even greater competitive advantage.

With a community of more than 30,000 marketers and industry analysts, Cardinal Path’s monthly webinar series help to inform and educate on timely topics across regulation, marketing technology, best practices and the latest analytics techniques organizations need to consider. Plus, as the go-to firm for Google Analytics 360, Cardinal Path is first-to-market with all the latest platform information on the world’s most widely-adopted analytics technology. Last year, Cardinal Path held the industry’s only webinar series on each of Google Analytics 360 Suite’s features, alongside Google’s Product Managers. This year, Cardinal Path will host a series on Adobe Analytics, showcasing the platform with Adobe experts, and highlighting ways to leverage Adobe Marketing Cloud for data-driven marketing programs.

In the era of data privacy and with looming GDPR enforcement, Cardinal Path has been actively educating marketers on their role within GDPR, and devising ways to ensure that digital analytics practices are conducted properly. A recent webinar on this subject drew more than 1,500 participants and Cardinal Path is now developing on a joint solution with sister agency, Isobar, to help marketers cut through the noise and properly address the parts of this law that are in their purview as data controllers.

Last year, Cardinal Path was acquired by one of the world’s leading agency holding companies, Dentsu Aegis Network (DAN) – recently named Agency Holding Company of the Year by Media Post. DAN acquired Cardinal Path to help them “leap forward” its data strategy, and that’s exactly what they’ve been doing. Cardinal Path still operates independently, but through the network, has opened up a world of opportunity with some of the industry’s most recognized media, creative and communications agencies (Carat, mcgarry bowen, MKTG, iProspect, Isobar, and Merkle, to name a few) to further the digital maturity of agency-side and client-side practitioners alike. Over the past year, Cardinal Path’s DAN engagements have included analytics work for GM, Beats by Apple, Hilton, Kellogg’s, Microsoft, Diageo, and many more – working alongside sister agencies to craft and execute data analytics strategy.

With DAN, Cardinal Path applies its years of experience, well-proven processes and forward-thinking solutions to quickly get more of the world’s leading brands ramped up on analytics and using data to provide valueable insights to inform their teams and also DAN agencies around creative, content, channels, and budget activity. Working as part of the Dentsu Aegis Network is another way for Cardinal Path to focus on analytics industry leadership, with total dedication to the work they love, and a continued push to leverage digital analytics for marketing excellence.

Cardinal Path is very proud to be part of this community of data and analytics practitioners.

It’s with all of these in mind – the history in our industry, the deep expertise, passion for the craft, the expansion of analytics into the world of media, the track record with brands and partners alike, and the obvious love for what they do, that I ask you to consider voting for Cardinal Path as the Digital Analytics Association’s Top Agency (Small to-Mid Sized) for 2018.

Thank you for your consideration.

Company URL
www.evolytics.com

LinkedIn
https://www.linkedin.com/company/evolytics

Twitter
https://twitter.com/evolytics

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References
Keith Cheung, Director of Digital Analytics, Realtor.com

January 22, 2018

Digital Analytics Association:
Please accept this Reference Letter in support of Evolytics as Top Agency for the DAA Quanties.

I have worked with many consulting firms in my career as an analytics team leader for Intuit, Visa and now at Move/Realtor.com. Evolytics is the consulting team that surpasses them all when it comes to digital analytics – they are the ones I can always count on and that I trust most.

Here are the top three reasons our team turns to Evolytics:

1. Evolytics is the leader for Adobe Analytics support. Throughout my organization, at all levels, Evolytics is recognized as the experts for implementing and integrating Adobe Analytics within our analytics technology stack. When we want to get something done right, it’s Evolytics we count on.
2. Evolytics is committed to making our analytics team and business successful. This commitment is illustrated in the flexibility of their team to get things done. If something is urgent (and with no special requests or prompting from me, but with an understanding of how the business will be impacted) the Evolytics team will scale resources or work extended hours to make sure my team successfully delivers within the Move organization. I have confidence that Evolytics will go out of their way to make me successful. So does my team. This is part of the Evolytics culture and a commitment to excellence that I’ve witnessed from company to company and throughout the ten years I’ve worked with them.
3. Evolytics is a consulting firm vs. a contracting firm. This is a big differentiator for me. Evolytics is proactive in coming up with creative solutions, such as how we automate our QA process. They always bring new ideas and new ways of doing things to the table. In a fast-changing technology environment, that capability is critical.

Because of their proven know-how, we trust their opinion and know we can rely on them to think strategically and execute technically. They reliably deliver in ways that make us successful and act as a true consulting partner as we strengthen and evolve our analytics efforts.

I encourage those voting for Top Agency to consider Evolytics for this award.

Keith Cheung
Director of Digital Analytics, Realtor.com, a News Corporation Company
Former Director – Digital Data and Analytics, Visa
Former Group Manager – Mobile and Web Analytics, Intuit
https://drive.google.com/open?id=1cY-oYWG-pl3dW9ph1AvN6Zp9qs3eRMXk

References
Susana Eshleman, CEO, Children International

1/19/18

Children International operates in the United States and 9 other countries to equip poor children and youth to break the cycle of poverty. We focus our efforts around four key outcomes tied to graduating kids who are healthy, educated, empowered, and employed.

Evolytics’ mission to use data in ways that inspire people to make a difference in the world complements our mission to empower children to break free from poverty. This alignment created a strong foundation for our ongoing partnership as we build a data- informed approach to optimizing our programs and amplifying our impact on children around the world.

We’re fortunate to have found a partner with the breadth of analytics expertise that has helped us in many ways.

Evolytics is helping us bring our outcome measurement framework to life by:

 

• Helping us align on KPIs
• Evaluating our systems for data collection and aggregation
• Evolving our reporting
• Identifying opportunities for optimization through testing and predictive analysis

Susana Eshleman
CEO
Children International
https://drive.google.com/open?id=1mLkk4NlQjugF2346IZW3-P2zjXYT_Uw3

Case Studies
Customer Care Analysis, May 2017

CHALLENGE

This client uses a “freemium” model in which customers begin as non-paying and gradually purchase increased levels of service. Therefore, customer care is given a very high priority.

The client employs five call center partners to help with the volume of calls they receive. To ensure customers are being treated with an “on-brand” exceptional level of service, net promoter score (NPS) is one of the primary metrics that call center employees are graded on. However, some call center employees will offer unnecessary refunds or promotional codes (collectively known as “concessions”) in order to boost their NPS.

Training the five call center partners -- and trusting them to represent the brand -- are the largest Customer Care Team challenges.

SOLUTION

To allow for concessions auditing, we created a Tableau Dashboard that shows the total concession amount and average concession amount per partner.

This was further visualized with trendlines and 95 percent confidence intervals to showcase the average discount range per partner.

Finally, to make this an action-oriented tool, we added bubbles to the visualization to represent each outlier team member. This allowed the Customer Care Team to drill down to a team member level to assess why a specific team member may be giving more concessions than others. The call number, concession reason, concession amount, and manager were all available.

RESULTS

The Customer Care Team was shocked by the results. The partner they viewed as the “best” because of high NPS scores had a systematic problem with giving concessions. This partner gave more concessions per call and larger concessions per call, costing the business millions of dollars in lost revenue.

These insights caused the client to re-evaluate their partner measurement methodology and KPIs used to evaluate partners. Instead of looking at only NPS, the organization now also considers concession cost as a KPI for performance evaluation. The team was also able to assess which type of customer call was most likely to end in a concession, which allowed them to proactively solve issues prior to the customer calling the care center.

Through proper training as a result our concession analytics, the client is saving millions of dollars in call center minutes and concession dollars.

https://drive.google.com/open?id=1xfXM6pjYqcSZ_ysn-4FjQt1kWvNgjIvs

Implementation, October 2017

CHALLENGE

Evolytics led an enterprise-level Analytics Audit assessing the effectiveness of the client’s Adobe Analytics Implementation. The organization had scaled quickly, adding new sites and applications which sometimes called for quick, patchwork solutions. The audit found numerous areas of improvement for data quality, and the organization decided to re-architect their analytics implementation.

Designing a new architecture introduced some difficult challenges that the client looked to Evolytics to solve. Most importantly, the client’s assets sent data to Adobe Analytics using hundreds of DTM rules and data elements for desktop and mobile web visits and through a custom API for mobile application visits. Additionally, complex processing rule logic made it difficult to document and visualize data transformations happening between collection and reporting.

SOLUTION

First, the team needed to understand the flow of data and all its transformations. Evolytics created in-depth documentation. For example, specific to web data, DTM configuration parsing tools were leveraged to generate spreadsheets documenting individual rule and data element configuration. Examples of how the data elements were resolved for each rule, the location on the site and steps required to trigger the rule, notes about any logic used to set dynamic values, and sample request payloads were included. Processing rule logic specific to any variables in the rule was included if applicable. Finally, examples of how the data from the sample request payload appeared in the reports was added to give a full end-to-end view of each request’s transformations.

Once the data was understood through this documentation process, Evolytics used Segment to provide a common analytics API and configuration workflow for all device types.

It was crucial that Segment could be deployed using DTM to utilize the existing rules and data elements. In order to test the DTM-API integration, Evolytics built a simple ExpressJS app and loaded a QA DTM property containing the bundled API so page load, event, and Segment’s identify calls could be simulated and compared side-by-side to calls that went directly to Adobe’s servers.

With Evolytics’ solution, timing issues, DTM quirks, and API bugs could be resolved without deploying to the client’s development environments. This process was critical in gaining the client team’s confidence in launching the solution in production.

Evolytics then conducted a parity study, comparing the Segment-based implementation to the legacy implementation based on hit-level clickstream data.

RESULTS

The legacy implementation was disabled entirely, and all analytics data is now flowing through Segment to Adobe Analytics. Evolytics is working alongside the client team to roll out the use of the tracking API to other web properties. This will centralize complex processing rule logic in the main web property and reduce the number of DTM rules drastically by letting the front-end developers call the tracking API directly on pages they manage.

Sharing the implementation workload with the front-end team, by giving them an easy-to-use API, will allow the analytics team to focus implementation efforts on other assets, including the mobile applications. The client team will also be freed up to spend more time on data governance across the company as a whole, as well as to more efficiently support reporting requests.

https://drive.google.com/open?id=1bwXxdpdxsBZfjPQWzj0Q1lTglq6cQeyv

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
Evolytics subsidizes analytics work across the entirety of the data lifecycle for Children International.

From Bill Brewster, VP of Operations, Children International, "As we evolve our use of data across all aspects of our organization, Evolytics serves as a critical partner, providing strategic guidance, innovative ideation, and expert support in project activation and execution."

Company URL
http://www.nabler.com

LinkedIn
https://www.linkedin.com/company/nabler/

Twitter
https://twitter.com/nablerUS

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://www.dropbox.com/s/pewvooe780embmt/Patty%20Behre%20Rec%20Letter.pdf?dl=0
• https://www.dropbox.com/s/4axzmq8jvd0ddsv/Nabler_RecommendationLetter_Informatica.pdf?dl=0

Case Studies

• https://www.dropbox.com/s/d58nukw5bp384to/Marketing_CaseStudies_RedHat_November2017.pdf?dl=0
  • November 2017
• https://www.dropbox.com/s/trbc7rncdezfw80/Marketing_CaseStudies_Informatica_January2018.pdf?dl=0
  • January 2018

Company URL
searchdiscovery.com

LinkedIn
https://www.linkedin.com/company/238000/

Twitter
https://twitter.com/SearchDiscovery?lang=en

What is the annual revenue of the agency you are nominating?
Less than $50MM per year

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

• https://docs.google.com/document/d/1DdxEm24PeZOtCaL5B0LvgB3htu2jcNxiUdKJS0HM6EA/edit?usp=sharing
• https://docs.google.com/document/d/1-6ha5FSrgkLt5iQqSgI7boQ-nS-mN16vtUc9l1zKNIk/edit?usp=sharing
• https://docs.google.com/document/d/1itfphBpqossddncUWlHvKsjaqRye-FfwbvLSZtfnSVk/edit?usp=sharing

Case Studies

• https://docs.google.com/presentation/d/1DvVWUgP9I67aoFhqUaZ-i69UhBaahrqRXFK8tuq1tnA/edit?usp=sharing
  • 12/31/17
• https://docs.google.com/presentation/d/1kWNyJkIBkcOXxyAz8NTBCpuxuAxZUJAVfRillEPXu84/edit?usp=sharing
  • 4/15/17

If the agency you are nominating has pro bono work that you also want to recognize, please include this information and description here. Please feel free to include any other statements of support.
A number of SDI’s team members have participated in the analysis exchange – supporting non-profit organizations pro bono.

 

Company URL
http://www.Mrm-mccann.com

 

LinkedIn 
http://www.linkedin.com/company/mrm-mccann

 

Twitter
@MRM_McCann

 

What is the annual revenue of the agency you are nominating?
$50MM per year or more

 

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

  

References 
March 2018:

So glad to hear about your nomination for an award for Project Vision from the Digital Analytics’ Association!  The work you did was amazing and continues to shape our vision for customer interactions and drive investment decisions.  You have our full support for submitting the case study for consideration.

I look forward to continuing the work with you and your team. You guys have been fantastic. From the beginning it was clear you had an understanding of the insights we were needed and quickly developed an analytical model to bring them to light.

Case Studies
Project Vision
Optimizing Multichannel Marketing Case Study

Company URL
https://www.neoogilvy.com

LinkedIn
https://www.linkedin.com/company/1675

Twitter
https://twitter.com/@neo_ogilvy

What is the annual revenue of the agency you are nominating?
$50MM per year or more

Are you able to provide case studies and/or client testimonials for work completed between June 1, 2016 and December 31, 2017?
Yes

References

Case Studies

https://ogilvy.egnyte.com/dl/HB1OX5HMfW

Please share any additional comments
At Neo, we make what’s new work now. We are never distracted from creating the future. Our mission is to help our clients leverage the latest digital and performance media techniques to connect with their customers and grow their businesses. Our team consists of more than 1200 employees across 40 worldwide offices working to put innovation and accountability at the heart of every engagement. Neo applies a data-driven strategic approach using insights and analytics across all digital disciplines. We partner with our clients, other agencies and partners to provide integrated solutions and also deliver independent, specialized services for brands across paid and organic search, programmatic buying, affiliate marketing and social amplification. While our engagements span several industry categories, we have deep expertise in financial services, education, IT, consumer electronics, commerce and B2B. We’re passionate about building brands and driving business results.