Use Cases / Data Valuation & Monetisation / Case Study
CASE STUDY
Understanding and Unlocking the Commercial Value of Enterprise Data.
How a major retailer valued its information assets to improve priorities, supply-chain intelligence and responsible commercial sharing.
Industry
Retail
Use Case
Data Valuation & Monetisation
A major high-street retailer wanted to understand the commercial value of the information held across its business.
The organisation was interested in identifying opportunities to improve internal data management, share useful information with supply-chain partners and potentially generate additional revenue from suitable datasets.
The DataBelt solution.
DataBelt was used to discover, categorise and assess the organisation’s information assets.
Using the retailer’s data valuation framework and defined value drivers, datasets were assessed and assigned value indexes and grades.
These assessments supported the calculation of estimated financial values for different information assets.
The results provided a structured view of which datasets were most valuable and where investment in hosting, maintenance and information management should be prioritised.
The outcome.
The retailer gained a clearer understanding of the commercial importance of its information.
High-value datasets were prioritised for appropriate management and protection.
Selected information was also shared with supply-chain partners to improve demand planning and identify cost-saving opportunities.
In addition, certain non-sensitive datasets were commercially licensed to logistics providers to support more efficient delivery planning.
