AI and GenAI initiatives are only as effective as the trustworthiness of the data behind them.
2
Modernization Pressure
Cloud migrations, acquisitions, and platform transformations can create multiple versions of the truth.
3
Regulatory Expectations
Growing demands for lineage, ownership, explainability, and governance require greater accountability across critical data.
What We Are Bringing to
2026?
From insurance data modernization to measurable data trust, explore how Exavalu helps insurers move from fragmented data to trusted business intelligence.
01
Insurance Data Modernization:Exasure Datalytics
Accelerate insurance data modernization with insurance-focused accelerators, engineering frameworks, and analytics capabilities that help improve data quality and accelerate time-to-value.
STEP 01
Discover & Ingest
Connect and onboard insurance data faster.
STEP 02
Engineer & Standardize
Automate mapping, integration, validation, and data modeling.
STEP 03
Analyze & Activate
Enable trusted reporting, analytics, and AI-ready data.
02
Data Trust & Governance: Exavalu Data Trust for Insurance
Measure, improve, and monitor the trustworthiness of your insurance data with a business-focused Data Trust Score
Assess
Score
Improve
Monitor
03
From Data to Trusted Decisions
Our capabilities span the insurance data lifecycle:
Data Strategy & Architecture
Data Platform Modernization
Data Engineering & Integration
Data Quality & Reconciliation
Insurance Data Models
BI & Analytics
Data Governance
Regulatory Traceability
AI Readiness
Connect discovery, engineering, governance, quality, lineage, measurement, remediation, and monitoring to create trusted business intelligence.
Built for the Decisions That Matter
Underwriting & Pricing
Claims
Policy & Billing
Distribution
Regulatory Reporting
Analytics & AI
Featured at IDMA 2026
A Data Governance Framework to Jumpstart or Refine Your Data Governance Function
Kimberly Wienzierl
Data Governance Advisor, Exavalu
Explore a practical and scalable framework covering the roles, processes, definitions, templates, and operating practices needed to launch or strengthen a data governance function.
