A complex data ecosystem streamlined into one automated, scalable warehouse and visualization platform.
A client needed to consolidate data from four separate external sources into a unified environment while maintaining compatibility with their existing internal datasets.
The challenge: Each partner delivered unique flat files with different formats, naming conventions, and update frequencies. The client wanted this combined data to flow seamlessly into their existing systems and power near real-time analytics.
“Can you collect data from four different external parties and create a model that allows this data to join with our existing data?”
We enforce strong data governance principles to ensure data meaning and integrity.
We enforce strong data governance principles to ensure data meaning and integrity.
This unified architecture enabled the client to:
