Introducing data discovery, reliability, and traceability with PowerMe
To solve Heineken's data-management challenge, our data experts identified three priorities:
- Create a unified view of data to improve data discovery
- Assess and prioritize relevant data and analytics assets to optimize cloud migration
- Increase adoption of analytics assets to empower data-driven decision-making
At the heart of these efforts lies PowerMe, an active metadata platform that empowers teams to discover, access, and trust enterprise data. With PowerMe, employees can unlock new insights, collaborate, and improve decision-making.
First, our team deployed PowerMe's intelligent automated data catalog module to make data analytics assets accessible across systems. But providing access is not enough. Heineken's employees also need to trace data across disconnected systems and dozens of operating companies. Using PowerMe's built-in connectors, our team automated metadata ingestion from SAP and Microsoft Azure systems. The result? Employees gained a unified catalog of all data assets to easily search and access data – no more toggling between ERP systems.
Next, we deployed PowerMe's 360-degree data lineage module for complete visibility into data flow – revealing where data comes from, how it changes, and who uses it the most. Data teams can now monitor various touchpoints to verify accuracy and trace errors to their source, resulting in high-quality data for Heineken. What's more, these teams can boost productivity by quickly identifying which datasets to prioritize for cloud migration.
We also built an intuitive dashboard for self-serve data analytics through PowerMe. With this tool, employees can easily find the data they need when they need it.