Who is LakeFusion MDM for?
LakeFusion is designed for modern data teams that are scaling their use of Databricks and need to ensure consistency, accuracy, and governance in core data entities such as customers, products, suppliers, and employees. It addresses the fragmentation, duplication, and governance gaps that often limit the impact of analytics and AI workloads.
Business Users
Data Stewards
Review and validate master records using match-merge, golden record, and entity search tools.
Operations & Business Analysts
Rely on consistent, accurate data for reporting, segmentation, and cross-functional workflows.
Marketing & CRM Teams
Leverage clean customer data for personalization, campaign performance, and CRM integration.
Compliance & Audit Teams
Use data lineage and traceability features to support audits and regulatory compliance.
Technical Users
Data Architects
Design data pipelines and integration flows, leveraging LakeFusion’s Databricks-native architecture.
Data Engineers
Simplify ingestion, matching, and golden record creation across large datasets without managing multiple systems.
Solution Architects
Embed MDM logic into broader data platforms and analytics workflows using native Spark support.
Platform Admins
Configure roles, permissions, and governance settings to align with enterprise security requirements.
Industries Served
LakeFusion is particularly useful in sectors requiring strong data consistency and regulatory rigor:
Industry | Use Case & Benefits |
Healthcare | Unify patient, provider, and payer records for better care coordination and compliance |
Financial Services | Support KYC, customer due diligence, and risk profiling with trusted master data |
Retail & eCommerce | Power omnichannel personalization and product data consistency with golden records |
Manufacturing | Optimize supplier and item master data to improve supply chain reliability |
Public Sector | Track citizen and program data with transparency and audit-readiness |
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Value Proposition
Turn Data Chaos into Competitive Advantage Organizations today operate across multiple systems, departments, and channels—often leading to fragmented, inconsistent, and duplicate data. These discrepancies introduce risk, drive up costs, and slow down ...