01
First, what's a data warehouse?
Your business already writes things down everywhere: orders in your app, payments in your payment tool, costs in a spreadsheet, spend in your ad account.
A data warehouse brings all of it into one place, set up for answering questions. Think of it as one always-current spreadsheet of your whole business, where orders sit next to ad spend, next to refunds.
In one line
02
What makes a data warehouse agentic
An ordinary warehouse just holds your data. You still have to dig it out. An agentic one has an AI agent living inside it, one that reads your data and does the digging for you.
Answers
Ask anything. Get the headline, the numbers and a chart.
Digs
Asks itself follow-ups to find out why a number moved.
Builds
Turns good answers into dashboards you keep.
Defines
Drafts what “revenue” or “active customer” means for you to approve.
A plain warehouse
- You have to know what to look for
- Someone has to build every report
- Answers wait until someone has time
An agentic warehouse
- You ask in plain words
- The agent builds the charts and dashboards
- Answers in minutes, any time
03
Why it matters for a company of one
When you run the company alone, you are the bottleneck. Every hour spent wrangling numbers is an hour not spent selling, building or resting. So the numbers get skipped, and decisions go back to gut feel.
An agentic data warehouse flips that. Here's the same Monday morning, twice:
Monday, without
- 1Log in to three tools
- 2Download reports, paste them into a spreadsheet
- 3Fix the formulas that broke
- 4Still not sure the numbers match
A morning gone, and still guessing.
Monday, with
- 1Open Orcabase
- 2Ask: “How did last week go?”
- 3Read the headline, the numbers and the chart
- 4Ask “why?” about anything odd
A coffee's worth of time, and you know.
The point
04
What you'll ask it
The questions you already ask yourself. Now you get answers.
Money
- “How much did I make last month, after refunds?”
- “Which product brings in the most?”
Customers
- “Who hasn't ordered in 60 days?”
- “Do customers from ads stick around?”
Growth
- “Is this month better than last?”
- “Which channel brings my best customers?”
Warning signs
- “Why did sales drop on Tuesday?”
- “Are refunds going up?”
05
Set one up in an afternoon
- 1
Bring your data together
Connect your app's data, and upload exports from payments, your store or ads.
- 2
Name your five numbers
Revenue, new customers, returning customers, plus two that matter to you. Let the agent draft them; you certify.
- 3
Ask your first questions
Start with what's been nagging you. Follow up with “why?”
- 4
Pin it and make it a habit
Save the best answers to one dashboard. Look at it every Monday.
Not sure which five numbers? The founder's guide has a list for every stage.
06
What to look for
Whatever you choose, make sure it ticks these boxes. (Orcabase ticks all of them.)
Answers in plain words
The answer first, not a wall of numbers.
Shows its work
Every step listed, so you can check it.
Uses your definitions
Your “revenue”, not its guess.
Can't break things
It creates; it never edits or deletes your work.
No lock-in
Your data stays yours. Export it anytime.
You control the AI bill
Your own AI key, paid at cost.
Priced for one
Not a data-team budget.
See how Orcabase does it: Data Warehouse, Data Agent and pricing.