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Data Warehouse as a Service: what it is and when it makes sense

A plain-English guide to DWaaS: how it differs from building your own, what it costs, and the signs that your business is ready for it.

5 min readAnalytical Solutions
Rows of server racks in a data centre

Every analytics initiative eventually hits the same question: where does all the data live? Building and running an in-house data warehouse used to be the only answer. It meant servers, licences, specialist staff and projects measured in years. Data Warehouse as a Service (DWaaS) changes that equation.

What DWaaS is

With DWaaS, the warehouse runs in the cloud and is managed for you. Data from your operational systems is loaded, cleaned and organised automatically. You pay for the capacity you use, and it scales up or down as your needs change.

The benefits

  • Faster time to value: a warehouse provisioned in weeks, not months
  • Lower cost model: no hardware to buy and no upfront licences
  • Performance and scale: capacity grows with your data, without re-engineering
  • Elasticity: scale up for month-end or peak season, then scale back down
  • Less to manage: security, backups and updates are handled for you

Signs you are ready

DWaaS makes sense when reports depend on manual exports, when different departments quote different numbers, or when you want forecasting and AI but lack a clean data foundation. It is also a strong fit for growing groups adding new entities, hotels or vessels, where the data estate grows faster than the IT team.

A data warehouse isn't the goal. It's the foundation that makes every dashboard, forecast and decision trustworthy.

How we deliver it

Our DWaaS runs on Microsoft Azure and powers our industry analytics for hotels, shipping, insurance and finance. Read more on our analytics overview.

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