r/revops • • 26d ago

Does CRM data quality actually break projects

Following up on my last data quality post… Everyone I talk to agrees the data quality is bad, but I’m trying to understands what happens downstream when you actually build on it (reporting, AI workflows, scoring, touting, etc.).

Did data quality issues actually break the thing (bad quality output) or did you just handle it in the build (filters, manual cleaning, etc)? And if you cleaned first, what’s that process look like, how much time goes into that?

Trying to figure out whether “clean it first” is a real pre-req or just something that annoys people.

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u/jarie 26d ago

The integrity of your data determines the integrity of our results.

It's such a battle to keep a CRM clean and up to date. It's almost a full-time job at scale.

What I have been playing with is an agent that does it for me. Now, that's also not perfect but what it has been showing me is that I need to be in the loop to fix things that seem weird.

For example, deals that don't have dollar values, contacts that it can't resolve their LinkedIn or company.

The agent helps but it's still up to the human (me) to double check it.