Start Date: 3/10/2021 1:00 PM EST
End Date: 3/10/2021 2:00 PM EST
Venue Name: Zoom
Many organizations are striving to achieve a data mindset culture or, in some cases, are already data-driven. But the real missing piece is data literacy--the basic understanding of context and a clear framework to derive meaningful information. The cost of not understanding data is huge. Data literacy is deficient in many businesses and it's difficult to know where to start improving capabilities. Learn how Carol Tran implements her growth hacking methodology to build an engine that provides a culture that embraces data drive, data literacy, and data storytellers.
Upon completion of this program, participants will understand:
- How to understand and interpret data metrics without being a data scientist.
- How to ask the right questions to help increase confidence in making business decisions.
- How to create stakeholder buy-in with specific actionable examples that you can apply in your own company.
Register now to learn more.
About the Speaker:
Carol Tran is a growth executive, 3x entrepreneur, and a change agent for suboptimal business conditions. She partners with company leadership, acting as a guide to reveal inefficiencies and grow the business using limited resources.
Her growth hacking combines tactics and theory, examining the business holistically. She uses historical data to build a growth engine, using repeatable, scalable processes to understand user behavior, translate findings with product visionaries, and implement marketing automation to find and nurture leads, close more deals, and maximize ROI.
She has worked and consulted with a wide-range of businesses across several industries. They range from legacy companies (Dolby, Oracle, Morgan Stanley) and startups that have grown into big names (Zenni Optical). This provided her the leverage to be industry agnostic and doing what is necessary to grow customers and revenue. To learn more about hacks and tips on growth hacking, you can connect with her at www.caroltran.com.