What is a data warehouse, and is it time you had one?

Ask a growing business a simple question, like "which customers are most profitable?", and watch what happens. Someone opens the CRM. Someone else opens Xero. A third person opens a spreadsheet only they understand. An afternoon disappears.

That's the problem a data warehouse solves.

One copy of the truth

AWS defines a data warehouse as "a central repository of information that can be analyzed to make more informed decisions".^[1] In practice, it automatically collects data from each of your apps, cleans it, and lines it up, so a customer in your CRM matches the same customer in your accounts.

Your team doesn't change how they work. The warehouse sits quietly behind the tools they already use. And because reports run on the warehouse, not your live systems, they don't slow those systems down, AWS notes.^[1]

Not just for big companies

Cloud warehouses are "elastic" and you "only pay for what you use", according to Google Cloud.^[2] For a small business, that means starting with a few apps and modest costs, and growing from there.

The AI angle

AI is only as good as the data it can see. The National AI Centre found Australian businesses' top AI uses include "data entry and document processing (27%)" and "predictive analytics (21%)".^[3] Both work far better on clean, joined-up data. A warehouse is how you give AI something it can trust.

Quick answers

What is a data warehouse in simple terms?

It's one central, tidy copy of your business data, collected automatically from all your apps so you can report on it and trust the numbers.