Complete Credit Solutions · Financial services
Reports moved from weeks to days
A central Azure data foundation joined business data, supported self-service analysis, and helped CCS apply its data policies.
The business problem
Reporting growth had reached the limits of the on-premises platform
Complete Credit Solutions had separate data sources, complex Power BI models, and an on-premises production system that limited reporting scale. The business also needed a better way to apply its data policies.
“The expectations from our clients, consumers and the public are to provide a fair, flexible and empathetic approach, and to take the role of caretaker of sensitive consumer data seriously. Continuous improvements like the new data platform reduces compliance and operational risk whilst providing assurance to our clients and gives them more confidence with entrusting us with their business.”
Mustafa Mohabbat
Head of Information Technology, Complete Credit Solutions
Starting point
Scale, reporting, and data policy were linked
The project had to improve the data path without treating technology as a compliance guarantee.
- The on-premises production system had performance limits.
- Distributed sources made central data governance difficult.
- Complex Power BI models held back self-service analysis.
- The data platform needed to support the policies required by the business.
Delivery scope
A central data lake supplied reporting and governance work
Microsoft’s customer story records the Azure data foundation, central data lake, and Purview capabilities used by CCS.
Recorded result
New reports finished in days instead of weeks
Microsoft records the reporting change and says the central data lake gave the existing data science team more time for wider work.
Weeks
Previous turnaround for new reports
Days
Recorded turnaround after the Azure deployment
Compliance boundary
Purview supports policy work; it does not certify compliance
Data discovery, classification, and lineage can support a control process. CCS still owns its policies, legal duties, access decisions, and evidence.
Discuss a governed data foundation
Bring the source systems, report cycle, data policies, access roles, and owner. We will use them to frame the platform scope.
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