Why Data and Analytics Teams Keep Fixing the Same Problems
Ever notice that data and analytics teams often solve the same issues over and over again? It’s a pattern that shows up in organizations of all sizes... repeated cleanup efforts, firefighting data quality, inconsistent definitions, and recurring bottlenecks.
This week’s Trading Post resource digs into why this happens and what it reveals about how data work really gets done.
In this piece, you’ll explore:
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The hidden cycle of “repeat fixes” why solutions don’t stick and problems reemerge
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Systemic barriers that waste time and energy from disjointed tooling to unclear ownership
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Approaches that actually break the loop practical shifts that help teams move past recurring issues
Instead of treating symptoms, this resource challenges you to ask: Are we fixing problems, or just postponing the next one?
👉 Read the full resource on the Trading Post:
https://redleif.io/why-data-and-analytics-teams-keep-fixing-the-same-problems/
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