# How Financial Advisors Can Turn Messy Data into Actionable Results with Verity Larsen

Page: https://stenobird.com/podcast/next-mile-6421303/how-financial-advisors-can-turn-messy-data-into-actionable-results-with-verity-larsen
Text version: https://stenobird.com/podcast/next-mile-6421303/how-financial-advisors-can-turn-messy-data-into-actionable-results-with-verity-larsen.md
Podcast: [Next Mile](https://stenobird.com/podcast/next-mile-6421303)
Published: 2026-03-24T07:00:00+00:00
Episode link: https://traffic.megaphone.fm/PODRYL3530795144.mp3?updated=1774280313
Audio file: https://traffic.megaphone.fm/PODRYL3530795144.mp3?updated=1774280313
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JSON: https://stenobird.com/v1/public/podcasts/next-mile-6421303/episodes/how-financial-advisors-can-turn-messy-data-into-actionable-results-with-verity-larsen
Duration seconds: 2792

## Resource

Episode 137: This week, Kyle Van Pelt talks with Verity Larsen, Founder & CEO at Versoft Consulting. Versoft partners with RIAs to help navigate complex technology decisions, system conversions, and data strategy. Verity talks with Kyle about the realities behind data lakes in wealth management and why maintaining clean, accurate data is harder than it looks for RIAs. From the myth of "clean data" to the hidden costs of data lakes, Verity shares a behind-the-scenes look at why so many firms struggle to turn data into actionable insights. She also explores the limitations of AI, the operational disconnects that quietly slow firms down, and what it truly takes to make data work for growth and better decision-making. In this episode: (00:00) - Intro (02:00) - Verity's money moment (04:33) - The challenge of validating data in system conversions (08:40) - What it takes for an RIA to maintain clean data (13:28) - The disconnect between management and staff workflow (16:43) - Common reasons people hire Versoft (20:53) - How people can make the most of their current technology (26:27) - Why systems calculate the same metrics differently (32:01) - The limits of AI in data and system management (37:43) - The truth about data lakes: adoption vs. actual results (40:11) - What firms should be doing with their data lakes (42:28) - The next best step after centralizing data (44:47) - Verity's Milemarker Minute Key Takeaways Start with the outcome, not the infrastructure. It's tempting to jump on trends like data lakes or AI, but without a clear use case, you'll end up with expensive systems that don't deliver value. Your data isn't as clean as you think. Many firms assume their data is accurate until they attempt to migrate or validate it. Taking the time to clean and fully understa…

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