Introducing MDM Extension for Databricks

An MDM SaaS extension is a ready-to-use package that streamlines and accelerates the implementation of MDM SaaS. MDM SaaS extensions contain pre-configured assets and integrations that extend and enhance the MDM SaaS business applications. Use an extension to reduce implementation time, enhance data quality, and achieve faster business outcomes.

Use MDM Extension for Databricks to publish master data for the customer, supplier, product, and location domains from MDM SaaS to Databricks Data + AI Platform. You can use the published data for integrated analytics, machine learning, and agentic AI applications. With trusted master data, you can improve customer segmentation, strengthen supplier and supply chain risk management, and optimize retail and product performance.

The extension includes predefined Data Integration assets and schemas for Databricks to publish master data fromMDM SaaS to Databricks.

Use MDM Extension for Databricks to achieve the following goals:

Enhance customer analytics and insights

Segment customers by behavior, region, and demographic profile to calculate accurate customer lifetime value (CLV). MDM SaaS merges duplicate customer records into a single master record before the data reaches Databricks, preventing skewed analytics and fragmented segmentation.

Strengthen supplier and supply chain risk management

Analyze the relationships between suppliers and their sub-suppliers network to assess procurement spend, vendor performance, and third-party risk. MDM SaaS merges fragmented vendor identities across enterprise resource planning (ERP) and purchasing tools to provide a single view of supplier risk metrics, such as financial vulnerabilities and environmental, social, and governance (ESG) ratings.

Optimize retail and product performance analytics

Compare year-over-year revenue across store locations and product lines. MDM SaaS applies standardized product classifications and location hierarchies for these performance comparisons.

Ground Databricks Genie and AI agents in trusted data

Publish cleansed and verified master data from MDM SaaS to Databricks. Databricks Genie and other Databricks AI agents can then use the master data as a trusted source. Databricks Genie conversational queries and programmatic AI agents run against stable schemas and validated master data. Databricks AI/BI dashboards use Delta Lake tables that contain the validated master data.