List the systems
Start with the tools people already use to run the business.
For many teams, that means CRM, finance, support, product data, and the spreadsheets that fill the gaps.
- Name the source system.
- Name the owner.
- Name the report or answer that depends on it.
Name the pain
Data pain should be specific. Conflicting reports, manual exports, duplicate records, stale fields, and missing audit trails are different problems.
The more specific the pain, the easier it is to scope the first trusted answer.
Choose the first answer
Do not begin with every possible question. Choose one answer that matters.
A strong first answer is repeated, valuable, and currently hard to trust.
| Question | Why it works | Proof needed |
|---|---|---|
| Which customers are at risk? | Revenue and support both matter | Account, ticket, renewal data |
| What is real pipeline? | Sales and finance must agree | Opportunity, invoice, stage rules |
| Where are orders stuck? | Operations can act quickly | Status, owner, last update |
Make verification part of the product
AI answers should carry enough context for a human to inspect them.
That means showing sources, definitions, time windows, and exceptions. Trust is not a slogan. It is a path back to evidence.
FAQ
What should we prepare before starting Dataware?
Bring the systems involved, the reports that currently conflict, and the first business question you want to trust.
How many systems should we start with?
Start with the systems required for one valuable answer. That is usually two to four systems, not every tool in the company.
Next step
Use the guide, then pick the first answer your team needs to trust.