Simon Data

What Stevin gets out of Simon Data

Simon Data is a CDP that runs on your existing data warehouse instead of building a copy, and that is exactly where the appeal sits. You keep your data in one place and get CDP functionality on top of it, without the duplication that classic CDPs bring. For teams that already take their warehouse seriously, that is a sensible route. Where it pinches: the value stands or falls with the quality of that warehouse. If your data foundation is messy, Simon Data inherits that mess one for one. And a CDP on your warehouse does not activate anything by itself, it makes segments available. Stevin connects to that warehouse layer, reads the segments and behavioral data, and turns them into signals with follow-up underneath, with the consultant reviewing every change that carries weight first.

What you pair it with

Choosing Simon Data means your warehouse stays the source, not a second copy next to your existing infrastructure. That saves duplication and keeps governance in one place, but it makes the quality of your warehouse immediately critical for everything you activate. Count on data work up front: clean models in, usable segments out, and someone who maintains that. The practical approach: invest in your warehouse before you expect the CDP layer to deliver, because Simon Data does not improve your data, it works with it exactly as it is at that moment.

Common mistakes

• →Putting a CDP on your warehouse while the data foundation is messy.
• →Expecting Simon Data to solve data problems instead of inheriting them.
• →Having segments available without anything turning them into action.
• →Claiming the governance benefit without actually modeling in one place.