Getting data used to look like this:
A simple data request averaged 3 days.
Complex ones? Maybe a week.
Now the process is:
From 3 days → 5 minutes.
Monday 9 AM, meeting at 10 AM. Boss suddenly asks: “What was last week’s conversion rate?”
Before: “Let me ask the data team, I’ll get back to you after the meeting.”
Now: Query on the spot, answer on the spot.
Making product decisions often requires quick validation: “Do users mainly order in the evening?”
Before: Submit request, wait for scheduling, get results 3 days later, find hypothesis was wrong, submit new request…
Now: Think of it, query it, validate in 5 minutes, iterate fast.
Every week I need to write data reports. Used to need 2 days advance notice to get data from analysts.
Now: Friday afternoon, query myself, done in 1 hour.
| Scenario | Before | After | Improvement |
|---|---|---|---|
| Simple query | 1-2 days | 5 minutes | 100x+ |
| Complex query | 3-5 days | 30 minutes | 50x+ |
| Report data | 2 days | 1 hour | 20x+ |
They don’t have to handle simple “pull data” requests anymore. They can focus on more valuable analysis.
Before, many decisions were guesses because data was slow. Now we can validate with data.
Because querying data became easy, I started proactively tracking more metrics.
The biggest value of Talk to Database AI isn’t “speed” — it’s letting more people access data themselves.
When data access is no longer a bottleneck, decision speed naturally improves.