Start Date: 8/10/2022 5:00 PM CDT
End Date: 8/10/2022 6:00 PM CDT
Finding and addressing data quality issues is challenging because these issues hide in the hardest places to find. One solution is to go on a "data walk," which maps out how data is collected, where it comes from, how it is handled along the way, and where it is exposed. These walks are critical for identifying logical errors or data capture errors. They are also useful when determining what should be monitored to ensure data quality metrics are caught as early as possible.
5:00 pm - Online Session Starts
5:00pm to 5:45pm - Alexandra Hagmeyer presentation
5:45pm to 6:00pm - Q&A/Wrap Up/Raffle Winner Announced
With a strong background in industrial engineering and operational management, Alexandra's keen eye for detail and structure has been integral in her role as a Co-Founder & Partner at AlignAI, an organization focused on upskilling teams on AI and Machine Learning. Alexandra spent 5+ years working in the automotive industry learning product development, process development, lean six sigma and lastly operations management over a 3.1 million value stream. She has taken best practices of quality assurance, efficiency improvement, and applied those concepts to the data and AI space with her team to develop AlignAI.