Trusted across leading industries
LakeFusion helps enterprise data teams clear up duplicate entities faster, build governed golden records, handle relationships, and put trusted data to work without bolting on another separate MDM platform. Resolve duplicates. Govern identities. Create golden records. Put trusted data to work.
LakeFusion pulls together the tools enterprise teams need for trusted master data right inside their Databricks setup, covering everything from smart entity resolution to stewardship and hierarchy work.
Spot duplicate and linked records with deterministic, probabilistic, and AI-assisted matching so complex enterprise identities get resolved more accurately and with tighter control.
Link related records, pull the trusted details together, and set survivorship rules that decide which attributes land in the governed master record.
Build trusted golden records that keep source lineage, show contributing records, hold governed attributes, and give a single consistent identity for everything downstream.
Let data stewards review shaky matches, accept or reject merges, fix records, handle exceptions, and keep the master data trustworthy.
Model many-to-many and cross-domain relationships - affiliations, ownership, account-to-legal-entity, customer-to-supplier - that go beyond simple parent-child rollups, so mastered entities carry the full relationship context enterprise views and AI agents depend on.
Create parent-child and mixed-entity hierarchies straight from enterprise relationships so teams get solid context for customers, suppliers, companies, and other mastered entities.
Control reference values, dependent links, and references inside complex structures so consistency holds beyond the main master records.
LakeFusion handles enterprise MDM across key business entities and lets organizations drop isolated domain-by-domain clean-ups in favor of one governed base for trusted enterprise data.
Clear up scattered customer records from CRM, ERP, billing, and other systems to build trusted customer identities and stronger Customer 360 foundations.
Clear up duplicate vendors, establish trusted vendor identities, and maintain consistency throughout procurement, finance, ERP, and supplier analytics.
Master companies, accounts, legal entities, subsidiaries, and parent organizations while holding the relationships that give accurate B2B enterprise views.
Build trusted product identities and link them to richer catalog, taxonomy, enrichment, and publishing flows through LakeFusion Product Information Management.
Standardize and govern shared locations, classifications, codes, and reference entities that get used across enterprise apps and master-data domains.
LakeFusion puts Master Data Management on Databricks so enterprises can master data closer to where it already sits instead of standing up another external MDM repository and sync layer.
Master enterprise entities inside the Databricks environment you already have & keep trusted data near the workloads that use it.
Stop pulling master data out into a separate MDM platform over and over & then syncing the mastered records back into your lakehouse.
Keep mastered data lined up with the access, governance, and lineage setup enterprises already run across their Databricks environment.
Bring mastering closer to the lakehouse and cut the infrastructure, integration, and sync overhead that comes with traditional external MDM setups.
LakeFusion enables enterprises to govern their identities for analytics, operational applications, and the increasing number of agentic AI workflows, by pairing trusted master data with smart matching and real-time access.
Layer a learned matching approach on top of deterministic rules and AI so straightforward and fuzzy entity-matching decisions get handled more efficiently.
Check new records against existing golden records before creating another entity so applications stop duplicates right at the entry point.
Hand AI agents governed master records and relationship context instead of forcing them to figure out fragmented enterprise identities on their own.
Provide BI, reporting, analytics, and machine-learning teams with a consistent, mastered entity without having to write separate deduplication logic for each workload.
LakeFusion is designed to solve high-value master data challenges that impact sales, procurement, reporting, operations, analytics, and AI directly across the enterprise.
Resolve fragmented customer records into governed identities that link CRM, ERP, billing, hierarchies, and downstream customer activity.
Eliminate duplicate vendors and supplier identities for more accurate supplier master data throughout procurement, finance and operations systems.
Governed company master with trusted relationship context & account, legal unit, subsidiary and parent organization linking.
Hand reusable master entities to ensure consistent customer, supplier and company reporting on dashboards and data products.
Assign trusted identities, managed attributes and relationships to AI systems before they begin reasoning across enterprise information.
LakeFusion combines enterprise MDM software with a Databricks-native setup, helping data teams manage enterprise identities without yet another disconnected data-management stack.
LakeFusion updates Master Data Management software by moving mastering closer to Databricks instead of building another external data silo.
Separate MDM repository
Additional data movement
Rules-heavy matching
Additional synchronization
Separate governance complexity
Master records locked in MDM
Built on Databricks
Master data where it already lives
Deterministic + probabilistic + AI-assisted
Trusted data stays close to downstream workloads
Aligned with Databricks governance
Built for analytics, applications and AI
LakeFusion helps enterprises shift from fragmented records to governed master data across real Customer 360, company master, and enterprise entity-resolution projects.
Bring fragmented customer accounts into trusted golden records and lay a stronger base for reporting, account management, and enterprise analytics.
Pull fragmented company records into governed enterprise identities that stay consistent across downstream business and analytical workflows.
Enterprise teams use LakeFusion to improve accuracy, reduce manual reconciliation, create governed data foundations for analytics, compliance, & AI.
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Consolidate company-name variants so experts can be organized and matched by employer
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Global 360-degree view, search-before-create, and product rationalization
Identify whether incoming leads are new or existing customers
LakeFusion clears up fragmented enterprise records, builds governed golden records, supports stewardship and hierarchies, and puts trusted master data to work directly inside Databricks.
Yes. LakeFusion is designed for Databricks, enabling enterprises to learn how to master trusted data near current AI, application, analytics, and lakehouse workloads.
Yes. Lake Analytics does so for master data requirements of customers, suppliers, companies, products, locations, and reference data within a governed enterprise MDM foundation.
LakeFusion correlates source records, applies merge/survivorship rules, maintains source lineage, and provides stewardship workflows for decisions that require human review.
LakeFusion gives AI workloads a trusted identity base through governed master records, entity resolution, hierarchy context, and features built for increasingly agentic enterprise workflows.
