Duplicate records. Conflicting insights. Data silos. 𝐒𝐨𝐮𝐧𝐝 𝐟𝐚𝐦𝐢𝐥𝐢𝐚𝐫? You're not alone. Many companies struggle with scattered, unreliable data. Meet 𝐋𝐚𝐤𝐞𝐅𝐮𝐬𝐢𝐨𝐧, the next-gen Master Data Management (MDM) solution 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞. ✅AI-powered entity resolution with vector search and LLMs ✅Lakehouse native architecture leveraging Unity Catalog & Delta Lake ✅Serverless and automated compute ✅Automated role-based dashboards for Business & IT teams 💡 Ready to take control of your data? Watch now & book a demo! https://www.lakefusion.ai/contact #LakeFusion #ai #databricks #mdm #lakehouse #masterdatamanagement #deltalake #UnityCatalog #EntityResolution

LakeFusion Product Demo | Databricks Integration for Master Data Management (MDM) In this demo, we walk through LakeFusion, our MDM platform built on Databricks Lakehouse. Learn how LakeFusion simplifies data governance, quality, and stewardship. Timestamps: 0:00: Introduction to LakeFusion 0:17: Command center overview: data prep, entity creation, and management 0:41: Discovery center, entity search, and file-entity matching features 1:06: Governance Hub and business glossary for data consistency 1:33: Creating new entities and onboarding raw data 1:57: Data profiling: analyzing and assessing dataset quality 2:42: Enhancing data quality for mastering 2:54: Creating and applying quality rules 3:31: Entity management and survivorship 4:30: Validation functions for data quality assurance 4:50: Match and merge process: model preparation and accuracy 5:40: Custom embedding models and industry-specific matching 6:01: Review stages for model accuracy 6:49: Integration Hub: creating integration tasks 7:11: Workflow for reviewing potential matches 7:40: Refining models through feedback 8:08: Key takeaway