---
title: "Complete Credit Solutions Azure Case Study"
canonical: "https://data-driven.com/case-study/complete-credit-solutions-optimises-data-with-azure/"
description: "See how Complete Credit Solutions used Azure, Purview, a central data lake, and Power BI to cut reporting time from weeks to days."
---

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.

![Complete Credit Solutions team and company logo](/_astro/20-1.DNRIUOYv_XkVD0.webp)

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.

[Read the Microsoft customer story](https://news.microsoft.com/en-au/features/complete-credit-solutions-implements-cloud-based-data-foundation-to-overcome-compliance-requirements/)

> “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.

1.  The on-premises production system had performance limits.
2.  Distributed sources made central data governance difficult.
3.  Complex Power BI models held back self-service analysis.
4.  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.

Foundation

Microsoft Azure

Data path

Sources joined in a central data lake

Governance tool

Azure Purview

Purview scope

Discovery, classification, and lineage

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.

### Keep the result tied to this rollout

The Microsoft story dates the first phase to 2021. Confirm the current architecture, controls, and report baseline before using it for a new brief.

## 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.

[Contact Data-Driven](/contact-us/)

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