SMBs (5 to 100 people) sit in a gap between analytics advice written for solo founders and advice written for Fortune 500 data teams. Neither fits.
This post covers what good dashboards, reports, and OKRs actually look like at that scale. Tools by stage. The mistakes most teams make.
The most expensive mistake is over-tooling, not under-tooling. Looker for 5 people is worse than a spreadsheet.
Most starting-up SaaS have all the possible integrated tools collecting data, but no data analyst to make it work for them.
claribi.com is live now!
Most analytics advice online is written for one of two audiences. Big data teams with a Snowflake bill and a Looker license. Or solo founders running everything in a Google Sheet.
If you sit between those two, running 5 to 100 people with revenue data scattered across Stripe, HubSpot, your product database, and a CSV your ops person updates every Monday, none of that advice fits. You end up either buying enterprise tooling that nobody on the team has time to use, or stitching together spreadsheets until they collapse on you.
Combine data from Stripe, Shopify, Google Analytics, and all your other tools. Ask questions across all your data sources without SQL or coding. Create dashboards and full insightfull reports with jut a few clicks. No coding, no SQL, no endless rows of misaligned data dumps.
