Executive Case Study

Enterprise Data Value Framework in Action

How to Get More Value From Existing Enterprise Data

One enterprise organisation believed it had a mature data environment supported by strong governance and modern technology. What executive leaders couldn't confidently answer was a much simpler question: how much business value was their enterprise data actually creating?

Using the Enterprise Data Value Framework, CryspIQ® identified opportunities to reduce complexity, improve decision-making and unlock greater value from existing enterprise data — without simply adding more technology.

Enterprise Data Value Framework: of the 100% of data an organisation pays for, 80% goes to waste while only 20% is actively used for reports, dashboards, compliance and AI.
Enterprise Data Value Model — illustrative example

Challenge

The organisation had invested heavily in enterprise data, but lacked a clear way to measure the business value being created across reporting, operations and decision-making.

Key Discovery

Applying the Enterprise Data Value Framework revealed opportunities to improve data quality, increase adoption across the business and maximise the value of existing enterprise data assets.

Business Outcome

The executive team gained a practical roadmap to strengthen decision-making, simplify complexity and improve the return on existing enterprise data investments.

The greatest opportunity isn't collecting more enterprise data. It's creating more business value from the data you already have.