Data architecture and modeling
A target design your team can build and run.
Data architecture decides where data lives, how it's modeled and how it flows. We design for the platforms you have, and model customer, supplier and product data so it holds as the business grows by acquisition.
01 / Symptoms
What it looks like.
- Two or three platforms after acquisitions.
- Entity models that differ by system.
- A cloud migration planned without a target model.
- Costs nobody can predict.
02 / What we do
A target model first, not a new platform.
- Target architecture for master, reference and analytics data.
- Entity and data models.
- Platform decisions, including whether you need a new one.
- Migration plans with sequencing and run cost.
- Custom master data builds on existing warehouse frameworks, such as a medallion design.
03 / How it connects
Why the model starts with the entities.
Every platform decision rests on how customers, suppliers and products are modeled. Get those entities right and the warehouse, the integrations and AI inherit a design that holds through the next acquisition.
04 / Experience
- Cloud platforms
- Delivery on Snowflake and Databricks.
- Migration
- A global customer master migration from on-premise MDM to Informatica cloud.
05 / Where to start
Where it shows up
Questions
Will you push a particular platform?
No. We're independent of every platform vendor. We design for what you run and recommend a change only when the target model and the run cost call for it.
Start with 30 minutes.
Tell us the symptom. We'll tell you plainly whether we can fix it.