Power BI for Insurance

Power BI for Insurance: Claims & Actuarial Analytics

EPC Group provides Power BI analytics for insurance carriers, agencies, and MGAs. Our offerings include:

• Claims analytics
• Actuarial dashboards
• Loss ratio monitoring
• Underwriting performance
• Fraud detection

All solutions are SOC 2-aligned. They are built on Microsoft technology experience since 1997 and extensive knowledge of the insurance industry.

Key facts

• Insurance Power BI deployments: claims processing analytics, actuarial reserving dashboards, policy lifecycle reporting, and SIU fraud detection.
• Compliance alignment: SOC 2 Type II, NAIC data privacy standards, and CCPA for California-domiciled carriers.
• Timeline: focused dashboard suite takes 4–8 weeks. Department-wide analytics rollout takes 8–16 weeks. Enterprise platform with Fabric, governance, and training takes 4–6 months.
• EPC Group: Microsoft consulting since 1997, insurance domain expertise, Microsoft Solutions Partner (core designations).

Insurance analytics use cases

Claims analytics and processing

Claims are the largest cost center for most carriers. Power BI gives claims leadership real-time visibility into process performance.

• Claim cycle time by type, line of business, and adjuster.
• Open reserves vs paid losses over rolling periods.
• Leakage analysis — identifying where settlement costs exceed actuarial estimates.
• Litigation rate and attorney-represented claim cost tracking.
• Subrogation recovery rate and pipeline by file handler.

Actuarial dashboards

Actuarial teams work with large, complex datasets that are often trapped in Excel or proprietary tools. Power BI modernizes actuarial reporting without replacing the underlying actuarial models.

• Loss triangle development and reserve adequacy tracking.
• Earned premium vs incurred loss ratio by cohort and accident year.
• Reinsurance recoverable tracking and treaty performance.
• Reserve redundancy/deficiency trend by business unit.
• IBNR (Incurred But Not Reported) estimate monitoring with credibility weighting.

Policy lifecycle management

• New business submissions, binds, and declination rates by production source.
• Policy lapse and cancellation analysis by reason code and segment.
• Renewal retention by line, territory, and agent.
• Premium audit results and earned vs written premium reconciliation.

Fraud detection and SIU analytics

• Anomaly scoring models connected to Power BI for real-time SIU referral dashboards.
• Provider billing pattern analysis for medical fraud detection.
• Geographic heat maps of suspicious claim concentrations.
• Repeat claimant and repeat attorney frequency analysis.

Underwriting performance

• Combined ratio, loss ratio, and expense ratio by line and territory.
• Quote-to-bind conversion rates by producer and product.
• Risk scoring distribution and portfolio concentration.
• Catastrophe exposure analytics by ZIP code and line of business.

Compliance and data security

Insurance data carries strict regulatory obligations. EPC Group builds compliance controls into every delivery.

• SOC 2 Type II — workspace access controls, audit logging, and encryption in transit and at rest for all insurance data environments.
• NAIC data privacy — sensitivity labels on reports containing non-public personal information (NPI). External sharing restrictions enforced at the workspace level.
• CCPA — California policyholder data tagged with Purview sensitivity labels. Data subject request workflows configured for access and deletion requests.
• Row-level security — each underwriter, adjuster, or actuary sees only the data in their authorized territory, line, or portfolio.

Technology stack

EPC Group builds insurance analytics on the full Microsoft data stack.

• Power BI Service — workspace governance, dataset sharing, and report distribution across the organization.
• Microsoft Fabric — Lakehouse storage for large loss datasets. Direct Lake mode eliminates import refresh windows for high-frequency claims data.
• Azure SQL / Synapse — centralized insurance data warehouse for claims, policy, and billing system integration.
• Azure Data Factory — ETL pipelines from core insurance systems (Guidewire, Duck Creek, Majesco, and legacy mainframes).

Frequently asked questions

Do you have experience with Guidewire and Duck Creek?

Yes. EPC Group has developed Power BI connectors and ETL pipelines for several systems, including:

• Guidewire ClaimCenter and PolicyCenter
• Duck Creek Claims and Policy
• Majesco P&C
• Legacy mainframe-based policy administration systems

We extract data using available APIs, direct database connections, or batch file exports, depending on the system.

How long does a claims analytics dashboard take to deploy?

A focused claims analytics suite, which includes cycle time, reserve tracking, and adjuster performance, takes 4–6 weeks to implement. This process involves:

• Data source connection
• Data model build
• Dashboard development
• RLS configuration
• User acceptance testing

In contrast, a full enterprise analytics platform requires 4–6 months to complete.

Can Power BI handle the volume of claims data at a large carrier?

Yes, large carriers with millions of claim records use Microsoft Fabric with Direct Lake mode. Semantic models can query Parquet files in OneLake. This process achieves near-Import-mode performance without requiring refresh windows.

For historical loss triangles that go back over 20 years, Azure Synapse manages the query layer before Power BI.

What is the ROI from insurance Power BI implementations?

EPC Group clients usually experience three main sources of ROI:

• Faster claims cycle time: This reduces loss adjustment expenses.
• Leakage reduction: Improved visibility of reserve adequacy helps in this area.
• Reduced actuarial reporting time: Actuarial teams spend 60–70% less time on building reports and can focus more on analysis.

The specific ROI will depend on your claims volume and current reporting maturity.

Do you work with insurance agencies and MGAs, or only carriers?

We serve both carriers and agencies. For carriers, we develop analytics for claims, actuarial needs, and underwriting. For agencies and MGAs, we emphasize production analytics, which includes:

• Premium by producer
• Binding authority usage
• Commission reconciliation

We also provide carrier scorecard reporting. Agency-side Power BI deployments are usually smaller in scope and take about 4–6 weeks to complete.

Talk to an insurance analytics architect

EPC Group delivers Power BI for insurance carriers, MGAs, and reinsurers. Call (888) 381-9725 or request a 30-minute discovery call.