How do you avoid getting overwhelmed by all the data available to you?

Data and Analytics
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Topic summary

The discussion addresses strategies for managing data overload in analytics work.

Current approach shared:

  • Organize data by category (sales, performance, conversion, etc.)
  • Select only metrics relevant to immediate needs
  • Manually handle overlapping data points with careful filtering

Challenges noted:

  • Data overlap between categories requires careful selection
  • Manual processes are time-consuming

Potential solutions mentioned:

  • Advanced tools or plugins exist but aren’t currently being used
  • Focus on purpose-driven data selection rather than reviewing everything available

The conversation remains open with only one response so far, suggesting others may contribute additional strategies or tool recommendations.

Summarized with AI on October 25. AI used: claude-sonnet-4-5-20250929.
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How do you avoid getting overwhelmed by all the data available to you?
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Welp, nothing other than chunking it into each category, e.g., sales, performance, conversion, etc. Some data overlaps, so I have to be careful when dissecting it and pick only the ones that serve current needs at that time. I think there are advanced tools/plugins for this, but for now I’ll rely on my tired eyes :eyes:

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