Not Quite 'Big Data': A Middle Market-Sized Approach to Data Management episode artwork

EPISODE · Aug 30, 2023 · 12 MIN

Not Quite 'Big Data': A Middle Market-Sized Approach to Data Management

from The Dashboard Effect · host Brick Thompson, Jon Thompson, Caleb Ochs

In this episode, hosts Brick and Caleb discuss the unique challenges and opportunities of implementing data and analytics in the mid-market sector. Drawing on their experience from 1000+ projects, they discuss why traditional big data approaches don't fit the mid-market and offer actionable insights on cost-effective, ongoing data management. This episode provides valuable perspectives on optimizing your data strategy without having to build an in-house team.Click here to watch this episode on our YouTube channel.Blue Margin increases enterprise value for PE-backed, mid-market companies by building and managing their data platforms. Our strategy, proven with over 250 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.Subscribe here to get more episodes of The Dashboard Effect podcast on your favorite podcast app.Visit Blue Margin's library of additional BI resources.

In this episode, hosts Brick and Caleb discuss the unique challenges and opportunities of implementing data and analytics in the mid-market sector. Drawing on their experience from 1000+ projects, they discuss why traditional big data approaches don't fit the mid-market and offer actionable insights on cost-effective, ongoing data management. This episode provides valuable perspectives on optimizing your data strategy without having to build an in-house team. Click here to watch this episode...

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Not Quite 'Big Data': A Middle Market-Sized Approach to Data Management

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This episode was published on August 30, 2023.

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In this episode, hosts Brick and Caleb discuss the unique challenges and opportunities of implementing data and analytics in the mid-market sector. Drawing on their experience from 1000+ projects, they discuss why traditional big data approaches...

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