Announcing the EPMware Databricks Adapter: Bringing Financial Master Data to the Lakehouse

EPMware is proud to announce the launch of our native Databricks adapter, expanding our growing ecosystem of enterprise integrations. This new capability enables organizations to seamlessly feed governed financial master data from EPMware into Databricks, unlocking cleaner analytics, faster transformations, and more trusted insights across the business.

Why Databricks and Financial Master Data Belong Together

Databricks has become the go-to lakehouse platform for organizations looking to unify their data, analytics, and AI initiatives. But for financial and performance management teams, a critical challenge remains: How do they ensure that the financial master data driving reporting, forecasting, and analysis is accurate, consistent, and governed?

This is where EPMware comes in. As the hub for financial master data management (MDM), EPMware delivers validated, governed, and fully auditable hierarchies and dimensions. By integrating directly into Databricks, organizations can:

• Ensure metadata consistency across their lakehouse environments and downstream reporting tools.
• Eliminate the manual wrangling of financial hierarchies that often occurs outside IT’s governance processes.
• Provide finance, analytics, and data engineering teams with a single source of truth for financial dimensions.

Saving Processing Power with EPMware’s Hierarchy Transformations

One of the biggest hidden costs of big data platforms is transformation overhead. Without a governed MDM solution, complex hierarchy changes, such as reclassifying accounts, reorganizing cost centers, or restructuring product roll-ups, often get pushed downstream into Databricks, consuming unnecessary compute cycles and creating reconciliation risks.

With EPMware, those transformations happen upstream:

• EPMware manages hierarchy restructuring natively, ensuring changes are validated, approved, and fully traceable.
• Databricks receives ready-to-consume master data, drastically reducing the need for costly reprocessing of raw data.
• Finance teams gain confidence knowing that every analytic query in Databricks aligns with the governed version of financial master data.

This means faster queries, lower processing costs, and more reliable results, all while maintaining compliance and governance.

A Lakehouse That Understands Finance

By connecting EPMware’s purpose-built financial MDM with Databricks’ open lakehouse architecture, enterprises can finally align two historically siloed worlds: finance and data science.

• Finance teams get governed hierarchies that flow directly into advanced analytics and AI initiatives. 
• Data teams save time and processing power, focusing on innovation instead of reconciliation. 
• And executives gain confidence that advanced analytics initiatives are grounded in trusted financial dimensions.
• What’s Next?

The Databricks adapter joins EPMware’s growing portfolio of integrations across ERP, EPM, Data Warehouse, and analytics systems, continuing our mission to be the most connected platform for financial master data management.

With this launch, we’re making it easier than ever for organizations to future-proof their metadata strategy while leveraging the power of the Databricks lakehouse.

If you would like to learn more about enabling the EPMware Databricks adapter in your environment, reach out to our team or schedule a demo today.