More than just a policy number

In the insurance industry, data is your most valuable asset and your biggest challenge. Between policy systems, claims databases, and billing platforms, customer information is often scattered, duplicated, and inconsistent. LakeFusion allows you to see the human being behind the data.

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Understand your policy holders across every line of business—life, auto, home, and health

The insurance regulatory landscape is becoming increasingly complex. MDM makes compliance a byproduct of your data strategy, not a separate burden.

01

Compliance

Shield your institution against regulatory risk with a single, governed source of truth that ensures total audit transparency and effortless compliance

02

Customer experience

Unlock a seamless 360-degree view of your clients to deliver the hyper-personalized financial experiences that drive long-term loyalty and wallet share

03

Efficiency

Strip away back-office friction and slash operational costs by replacing fragmented data silos with automated, high-velocity workflows.

The data challenge facing insurance today

The insurance industry struggles with fragmented data, as customer information is scattered across platforms, making it hard to create a unified view.

Challenge

01

Fragmented data systems

Customer data is spread across multiple systems, making it difficult to gain a unified view and hindering efficient decision-making.

02

Inaccurate and inconsistent records

Data discrepancies lead to billing errors, delays in claims processing, and unreliable insights, reducing trust and operational efficiency.

03

Evolving compliance demands

With constant regulatory changes, staying compliant across various platforms is time-consuming and risky.

Solutions

Unified customer 360 for insurers

Create AI-powered golden records across policyholders, policies, claims, brokers, and third-party data — all within Databricks.

AI-powered match and merge

Automatically detect duplicates, resolve inconsistencies, and standardize records using multimodal AI.

Underwriting and claims optimization

Deliver accurate, connected data that improves risk assessment, accelerates claims adjudication, and enhances decision-making.

Governed, audit-ready data foundation

Maintain traceable, compliant master data aligned with evolving regulatory and data protection requirements.

Trusted data drives better outcomes

Policies unified across global platforms
10M+
Claims processed with reduced errors
98%
Reduction in data silos
95%
Real-time access to customer data
100%

Frequently asked questions

How does LakeFusion help financial institutions create a trusted customer view?

LakeFusion unifies fragmented customer, account, and counterparty data across systems into a single, governed golden record directly in Databricks. This ensures teams across risk, compliance, and operations are working from consistent, reliable data — not conflicting versions across systems.

How does LakeFusion support regulatory compliance (KYC, AML, BCBS 239)?

LakeFusion enforces governance, lineage, and traceability through Unity Catalog, ensuring that customer and entity data is consistent, auditable, and explainable. This helps institutions meet regulatory requirements with confidence in how data is defined, managed, and used.

Can LakeFusion help reduce reconciliation and manual operational work?

Yes. By mastering data directly in the lakehouse, LakeFusion eliminates the need to reconcile across multiple systems. Teams operate on a single, consistent dataset — reducing manual effort, operational risk, and delays in reporting.

Will LakeFusion fit into our existing Databricks architecture?

Yes. LakeFusion is built natively on the Databricks Lakehouse and integrates directly into your existing data pipelines, governance model, and workflows — without requiring new systems or re-architecture.

How is LakeFusion different from traditional MDM tools in financial services?

Traditional MDM tools require separate infrastructure, data movement, and ongoing synchronization. LakeFusion runs natively inside Databricks, eliminating data duplication, external MDM hubs, and additional pipelines, reducing complexity and accelerating time to value.

How does LakeFusion handle entity resolution across complex financial data?

LakeFusion uses AI-driven entity resolution, including LLM-based matching, to identify and merge records across systems — even when data is incomplete or inconsistent. Each match includes explainability and confidence scoring, with human-in-the-loop workflows for edge cases.

How does LakeFusion improve risk analytics and decision-making?

By ensuring consistent, accurate master data across customers, accounts, and hierarchies, LakeFusion enables more reliable risk models, exposure calculations, and reporting — helping teams make faster, more confident decisions.