Data Quality for Actuarial and Data Analysts

How much time do your analysts spend cleaning and structuring data vs actually performing analysis? I feel like I’m fighting data quality/support issues just to keep our quarterly reporting processes alive, much less creating value-adds through actual analysis or new technology implementation. What’s normal vs how it should be?

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I’ve been in analytics / data science for 15 years…multiple orgs and industries…data munging is intrinsic to the field. I’ve never seen nor heard of it ever being less than 50% of capacity.

Edit: i should add, the only time an analyst has minimal munging is when there’s a dedicated munging team.

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I rarely work with actuaries but do a lot of collaboration. Typically we find that certain teams have complementary data and redundancy is minimal.

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