When Spreadsheets Stop Scaling: What Comes Next?
Webinar
Every analyst has a spreadsheet that works, until suddenly it doesn't. As data grows and processes become more complex, spreadsheets can turn into slow, fragile workflows that require hours of manual work and become increasingly difficult to maintain.
In this session, Ken Black, Performance Motor Sports Data Scientist at General Motors, shares his real-world journey from working with massive Excel files and thousands of lines of VBA to analyzing billions of rows of motorsports data. Hear the lessons he learned along the way, how he approached automation and scalability, and what teams can do when traditional spreadsheet-based analytics can no longer keep up.
What You'll Learn
- How to recognize when spreadsheet-based processes have become too complex or fragile to scale
- Ways to reduce repetitive manual work and build more repeatable analytics processes
- How automation can help teams spend less time preparing and reconciling data and more time analyzing it
- What one data scientist learned moving from Excel and VBA to working with billions of rows of data
Speakers
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Mackenzie Putici Webinar Moderator Future B2B
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Joshua Burkhow Chief Evangelist Alteryx
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Ken Black Motor Sports Data Scientist | Alteryx Ace, General Motors Alteryx
REGISTER NOW & YOU COULD WIN
A $250 Amazon.com Gift Card!
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