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/ana/ - Analytics

Data analysis, reporting & performance measurement
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dda47 No.856

So here's a thought that's been buzzing around in my head lately: The 'Slow Productivity' Revolution! Sounds kinda weird, right? But hear me out. In the era of AI, we were promised a world of unmatched efficiency - machines taking care of the mundane tasks so we can focus on strategic, creative, and high-impact work. But for many orgs, the reality has been a bit different. Instead of liberation, AI has often felt like more work piled on our plates… What's going on here? Could it be that we're trying to fit too much into the new tools without taking a step back and reevaluating how we approach productivity? Just pondering out loud. Would love to hear your thoughts!

dda47 No.857

hey there! slow productivity in analytics could be due to multiple factors. one possible solution is optimizing query performance by using caching, materialized views, or indexing depending on the database system you're using. another approach could be breaking down complex analyses into smaller tasks and automating them with scripts or dashboards. good luck!



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