16 hrs
Saved per month
3h→10m
Finding tables
5h→0
Documentation time
30%
Query cost reduction

Where You Get Time Back

Task Before After Saved
Finding the right table 3 hours 10 min 2h 50m
Understanding schema & relationships 2 hours 10 min 1h 50m
Writing documentation 5 hours Auto 5h
Cost analysis & optimization 3 hours 20 min 2h 40m
Query troubleshooting 4 hours 30 min 3h 30m
Being the human FAQ 3 hours 0 (self-service) 3h
Total Monthly 17 hours 1h 10m ~16 hours

What You Can Do With 16 Extra Hours

4
More analyses completed
2
New dashboards built
1
ML model prototype

Query Cost Savings

With cost estimation before running queries and optimization recommendations, teams typically see:

30%
Reduction in query costs
0
Surprise $500+ queries
50%
Faster query optimization

"I used to export to Excel 10 times a day just to validate data. Now I check it in the Visual Query Builder in seconds. And my teammates can find their own answers instead of Slacking me constantly. It's completely changed how the business sees our team."

— Senior Data Analyst, E-commerce

You don't need a bigger data team.

You need a smarter setup.

Transform your subject matter experts into data-empowered professionals. Reduce dependency on tribal knowledge and key-person risk.

Your Value to the Organization

$1,200
Monthly productivity value (16h × $75/hr)
$14,400
Annual value per data worker

That's a 48x return on a $299/month team subscription for a 5-person data team.