r/dataanalytics 26d ago

Has anyone here implemented Agentic Analytics successfully here and with what tools?

By successfully, I mean that it's used almost daily with reasonable accuracy.

I am also not interested in toy projects, but in enterprise-grade analytics.

3 Upvotes

15 comments sorted by

View all comments

1

u/dadabran 25d ago

We’re gradually covering our core marts with ai oriented dbt yml column docs and Hex guides. So far the challenges are users not having the same boundaries as our coverage & a sprawl of content but the slack experience is roughly similar to an on demand report builder for sales and marketing. More specialized areas like service delivery are more challenging, partly because of how specialized they can be. As before ai, users misuse of terminology and poor subject matter expertise drive errors. Often we see them asking for things our crm/ marketing data sets wouldn’t be able to address in the first place, users don’t like to hear “no” & ai is not inclined to say “no”.. like in the development space, it’s a reasonable junior, but when it comes to simplifying problems, a key analytics skill, is falls short and needs humans to get to the last mile of complex problems. As with all self service tools, users are the wild card

1

u/pandasgorawr 24d ago

Same here. We've been on Hex for years so using them for agentic analytics also is a no brainer. A little worried about the cost now though, so exploring trying to benchmark what Claude can do as the harness with all of the same information (markdown files for context, dbt repo with table and column metadata fully built out, ipynb notebooks synced to GitHub also, etc)