The right data, where and when it is needed

Ways to deliver data

Different needs call for different techniques. We work with all of them and help you choose.

Data consolidation

Data from several systems is combined and stored in one place, most often a data warehouse. We extract exactly the data you need, clean it and make sure it is fit for its purpose.

Data virtualization

Users query one virtual view, while the data stays in the systems where it lives. You get a near-real-time picture without copying everything into a single store.

Real-time replication

Change data capture copies each change as it happens. It is the base for an operational data store, for real-time reporting and for feeding mobile and big data applications.

Data fabric

A data fabric connects data across a hybrid landscape using metadata, automation and shared governance. Data can be combined, accessed and governed in the same way wherever it is stored.

A data factory, not a series of projects

We set up automated flows and a CI/CD pipeline for your data work, independent of the platforms you choose. Your team moves from one-off projects to a process that keeps improving.

What working with us looks like

• An adviser to build the strategy with
• A visible return early in the project
• Requirements reviewed and revisited regularly
• Clear control of delivery and of budget