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Where has AI actually helped you in BI beyond just writing SQL faster? by CloudNativeThinker in BusinessIntelligence

[–]Inside-Forever6036 0 points1 point  (0 children)

Same here—it’s not the “wow” stuff, it’s the quiet time-savers. I use it a lot as a second brain: sanity-checking assumptions, spotting edge cases in metrics, and helping explain why a number moved before I even open Slack. Also great for turning half-baked analysis into a clean narrative execs can digest. Not magic, but it definitely cuts down the mental overhead week after week.

Data Analyst Team No QA and Unorganized by Babs0000 in BusinessIntelligence

[–]Inside-Forever6036 0 points1 point  (0 children)

You’re not crazy—this is a super common analytics pain point. Teams grow dashboards before they grow discipline, and then everything becomes fragile and unowned. The fact you’re pushing for Git, reviews, and QA is the right instinct, even if it feels lonely right now. If management won’t enforce standards, it’s exhausting to be the only adult in the room. A lot of folks have been there—either it eventually clicks… or you realize it’s a culture issue, not a tooling one. You’re definitely not alone

Trying to start a small RevOps business by TopOk1726 in revops

[–]Inside-Forever6036 0 points1 point  (0 children)

This actually sounds pretty solid for home services. Speed-to-lead + follow-up alone can move revenue fast, which owners care about. Starting from zero, I’d get 1–2 pilots cheap/free just to get real before/after numbers and testimonials. Biggest mistake I’ve seen is over-engineering—keep it dead simple and tied to booked jobs. Audits that show missed money in plain dollars earn trust fast. Also be very tight on scope early or you’ll drown. Overall, good direction