How Graph-based Master Data Management Accelerates Data-powered Projects
summary
Claims that 75% of MDM projects fail and that graph-based MDM removes the pain points by eliminating upfront schema work and scaling in the cloud. Uses CluedIn as an example, integrating with 27 Microsoft services (Azure Data Factory, Synapse, Power BI, Databricks) and positioned for Microsoft Intelligent Data Platform. Implements zero upfront modelling by ingesting datasets incrementally, building pointers for missing entities, applying record-level modeling and advanced deduplication via relationship triangulation to link millions of records and deliver working master data in weeks not years.
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chapters (10)
- 0:00MDM’s 30-year stagnation
- 3:01Why MDM projects fail
- 5:28Traditional MDM project flaws
- 8:36Modern MDM market shift
- 9:41Graph vs relational MDM
- 14:21Cloud and automation in MDM
- 15:24Zero upfront modeling with graph
- 20:45Is graph-based MDM right for you
- 22:37MDM’s modernization era
- 23:22Q&A and closing
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