Overcome data debt to maximize return on data investments
Data leaders’ ambitions are higher than ever in the wake of Open AI’s ChatGPT, but rarely lead to business value due to data debt. Data debt is the build up of data-related problems over time that ultimately lowers return on data investments.
At the root of data debt is a lack of prioritization - all data assets are treated as if they were equally important, even though only some really matter. To solve this issue, we introduce The Data Trust workflow to
- Prioritize,
- Validate and
- Improve the data that matters.
Download the guide to discover how to apply and scale the workflow, supported by the Data Trust Platform, to start delivering true ROI on data investments.
Download the guide
The Data Trust workflow
