Unify the Data Around PolicyCenter, ClaimCenter and BillingCenter in One Place

An insurance data lake that brings policy, claims, billing and partner data together by ingesting, mapping and standardizing it, so your Guidewire projects and analytics start from one source of truth.

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Consolidate Fragmented Data

Policy, claims, billing and partner data are ingested and mapped into one environment, removing silos and giving you a single source of truth without manual consolidation.

Reliable Data From Day One

LiLa standardizes formats, resolves inconsistencies and aligns legacy structures, so you get clean data ready for analytics and operations.

Reduced Operational Load

Most mapping and cleanup is handled for you, easing the burden on internal teams and speeding up work.

The Problem

Data Around Guidewire Lives in Too Many Places

Policy, claims, billing and partner data sit in separate systems, and no one has a single view across them.

Data Sits in Silos

Each system holds its own version of the policy, claim or billing record, so there is no single source of truth.

Inconsistent Structures Block Analytics

Formats and definitions differ across sources, so data needs manual standardizing before analytics or AI can use it.

Reconciliation Falls on Your Teams

Internal teams spend time mapping and reconciling data by hand instead of using it.

The Solution

An Insurance Data Lake That Unifies and Standardizes the Data Around Guidewire

InsOps ingests and maps policy, claims, billing and partner data into one environment. LiLa resolves inconsistencies at the source, so you can use reliable data without manual cleanup or workarounds.

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How does InsOps Help?

We Help Insurers Build a Unified Data Lake for Guidewire

InsOps consolidates policy, claims, billing and partner data into one environment. LiLa interprets different structures, standardizes formats and resolves inconsistencies, so you can use complete data without manual reconciliation.

Faster Legacy Data Interpretation

LiLa identifies what fields mean across systems, even when structures differ, reducing manual effort.

Precise Data Alignment

Fields and formats are aligned across sources with high accuracy, reducing inconsistencies and rework.

Clean, Ready-to-Use Outputs

Policy, claims and billing data are cleaned, reconciled and standardized into consistent, analytics-ready information.

Reduced Manual Reconciliation

LiLa identifies discrepancies across policy, claims, and billing data, reducing the time spent on manual checks and corrections.

Consistent Data Structures

LiLa standardizes data formats across systems, helping teams maintain consistent information and simplify data exchange.

Improved Operational Efficiency

LiLa delivers clean, aligned, and reliable data that helps insurers reduce rework and support faster downstream operations.

FAQ

Frequently

Asked Questions

Have questions? Our FAQ section has you covered with
quick answers to the most common inquiries.

How does the data lake work?

Does it reduce manual reconciliation work?

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Every Insurer We Work With

Moves Faster and Operates Smarter.

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained LLM

Book an Appointment

Join Us Now

Every Insurer We Work With

Moves Faster and Operates Smarter

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained LLM

Book an Appointment