Data integration
Data pipelines that bring your systems together.
Connect scattered data, prepare it consistently, and give reporting a dependable foundation.
Discuss your projectDataflows · Azure Data Factory · Microsoft Fabric
START WITH THE REAL PROBLEM
A useful outcome.
A clear way to get there.
When each report starts with another export, the real problem often sits upstream. Different names, duplicate records, late files, and unclear ownership can make even a polished dashboard difficult to trust.
What we can build together
- A source inventory and agreed rules for joining and preparing data.
- Dataflows or pipelines with an agreed refresh sequence and exception handling.
- Checks for missing, duplicate, or unexpected records, plus a practical handover.
AN EXAMPLE OF THE WORK
A program team could combine SQL transactions, SharePoint reference lists, and Dataverse project records into a shared reporting layer. The first phase might cover one business process before adding more departments.
Illustrative scenario, not a client case study.Bring the question. We’ll plan the work.
Bring a list of systems, the reporting questions, how often data changes, and the people responsible for access. A sanitized example of inconsistent records is more useful than a large confidential export.