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EPC Group

Enterprise Microsoft consulting with 29 years serving Fortune 500 companies.

(888) 381-9725
contact@epcgroup.net
4900 Woodway Drive, Suite 830
Houston, TX 77056

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About EPC Group

EPC Group is a Microsoft consulting firm founded in 1997 (originally Enterprise Project Consulting, renamed EPC Group in 2005). 29 years of enterprise Microsoft consulting experience. EPC Group historically held the distinction of being the oldest continuous Microsoft Gold Partner in North America from 2016 until the program's retirement. Because Microsoft officially deprecated the Gold/Silver tiering framework, EPC Group transitioned to the modern Microsoft Solutions Partner ecosystem and currently holds the core Microsoft Solutions Partner designations.

Headquartered at 4900 Woodway Drive, Suite 830, Houston, TX 77056. Public clients include NASA, FBI, Federal Reserve, Pentagon, United Airlines, PepsiCo, Nike, and Northrop Grumman. 6,500+ SharePoint implementations, 1,500+ Power BI deployments, 500+ Microsoft Fabric implementations, 70+ Fortune 500 organizations served, 11,000+ enterprise engagements, 200+ Microsoft Power BI and Microsoft 365 consultants on staff.

About Errin O'Connor

Errin O'Connor is the Founder, CEO, and Chief AI Architect of EPC Group. Microsoft MVP multiple years, first awarded 2003. 4× Microsoft Press bestselling author of Windows SharePoint Services 3.0 Inside Out (MS Press 2007), Microsoft SharePoint Foundation 2010 Inside Out (MS Press 2011), SharePoint 2013 Field Guide (Sams/Pearson 2014), and Microsoft Power BI Dashboards Step by Step (MS Press 2018).

Original SharePoint Beta Team member (Project Tahoe). Original Power BI Beta Team member (Project Crescent). FedRAMP framework contributor. Worked with U.S. CIO Vivek Kundra on the Obama administration's 25-Point Plan to reform federal IT, and with NASA CIO Chris Kemp as Lead Architect on the NASA Nebula Cloud project. Speaker at Microsoft Ignite, SharePoint Conference, KMWorld, and DATAVERSITY.

© 2026 EPC Group. All rights reserved. Microsoft, SharePoint, Power BI, Azure, Microsoft 365, Microsoft Copilot, Microsoft Fabric, and Microsoft Dynamics 365 are trademarks of the Microsoft group of companies.

EPC Group helped Southern Farm Bureau Life Insurance modernize claims analytics, actuarial reporting, and agent performance tracking with Microsoft Power BI Premium and Azure Data Lake. Results: 45% faster claims processing and 60% faster fraud detection time. Southern Farm Bureau is one of the largest life insurance providers in the southeastern United States.

Key Facts

  • 45% reduction in claims processing time after Power BI implementation.
  • 60% faster fraud detection time.
  • Platform: Power BI Premium + Azure Data Lake Storage Gen2.
  • Data sources: policy administration systems, claims management systems, agent management tools.
  • Actuarial reporting cycle reduced from 3–4 weeks to near-real-time.
  • EPC Group: 29 years Microsoft consulting. Insurance analytics specialist.

Southern Farm Bureau Life Insurance: Insurance Analytics

Transforming claims processing and actuarial reporting with Power BI

Southern Farm Bureau: Insurance Analytics Transformation

How EPC Group helped Southern Farm Bureau Life Insurance modernize their claims analytics, actuarial reporting, and agent performance tracking with Microsoft Power BI Premium and Azure Data Lake, reducing claims processing time by 45% and fraud detection time by 60%.

Get StartedView All Case Studies

45%

Faster Claims Processing

60%

Faster Fraud Detection

2,500+

Agents Tracked

$2.4M

Fraud Losses Prevented

The Challenge

Southern Farm Bureau Life Insurance Company, one of the largest life insurance providers in the southeastern United States with operations across multiple states, was grappling with an aging analytics infrastructure that could not keep pace with the volume and complexity of modern insurance operations. Their actuarial team, claims adjusters, and executive leadership all lacked the real-time data access needed to make competitive decisions in a rapidly evolving market.

Slow claims processing: Claims data was spread across a legacy AS/400 system, a separate policy administration platform, and multiple Excel workbooks maintained by regional offices. Adjusters spent an average of 3.5 hours per claim gathering data before they could begin assessment.

Limited fraud detection: Suspicious claims were identified through manual review processes that relied on individual adjuster experience. There was no systematic, data-driven method to flag anomalous patterns across the entire claims portfolio, resulting in an estimated $4M+ in annual fraud losses.

Actuarial reporting bottlenecks: Quarterly actuarial reports required 3-4 weeks of manual data preparation by a team of 6 analysts. The models relied on static data extracts that were often outdated by the time analysis was complete.

Agent performance opacity: With 2,500+ agents across the southeastern U.S., leadership had no standardized way to compare agent performance, identify top performers for recognition, or flag underperforming agents for coaching and support.

The Solution

EPC Group designed and implemented a Power BI Premium analytics platform integrated with Azure Data Lake Storage, providing Southern Farm Bureau with a modern data architecture that unifies claims, policy, agent, and actuarial data into a governed, secure analytics environment.

Azure Data Lake Architecture

Ingested data from the AS/400 legacy system, policy administration platform, agent management system, and external data sources (weather, demographic) into Azure Data Lake Storage Gen2 with Delta Lake format for ACID-compliant analytics.

Claims Analytics Dashboard

Built automated claims dashboards showing real-time status, processing times, adjuster workloads, and settlement trends. Claims adjusters now access a single-pane view of all relevant policy and claims data, eliminating the 3.5-hour data gathering process.

Fraud Detection Analytics

Implemented anomaly detection models that score every incoming claim against 40+ risk indicators including claim amount patterns, provider history, geographic clustering, and timing anomalies. High-risk claims are flagged automatically for SIU review.

Agent Performance Scorecards

Created standardized agent performance dashboards tracking policy production, retention rates, premium growth, loss ratios, and customer satisfaction scores. Regional managers access ranked leaderboards with drill-downs into individual agent metrics.

Key Benefits & Outcomes

45% Faster Claims Processing

By consolidating all claims-related data into a single Power BI dashboard, adjusters reduced average data gathering time from 3.5 hours to under 30 minutes per claim. End-to-end claims cycle time dropped from 18 days to 10 days on average.

60% Faster Fraud Detection

Automated anomaly scoring identifies suspicious claims within hours of submission, compared to the previous 2-3 week manual review cycle. In the first year, the system flagged 340 high-risk claims, resulting in $2.4M in prevented fraud losses.

Actuarial Reporting Modernized

Quarterly actuarial reports now take 3 days instead of 3-4 weeks. The actuarial team accesses live data models in Power BI connected to the Azure Data Lake, enabling scenario analysis and reserve calculations on current data rather than stale extracts.

Agent Retention Improved by 15%

Transparent performance scorecards with clear metrics and recognition for top performers improved agent morale and reduced turnover. Regional managers now conduct data-driven coaching sessions, helping underperforming agents improve their metrics within 90 days.

Regulatory Compliance Streamlined

State insurance department filings and NAIC reporting are now generated directly from governed Power BI datasets, ensuring consistency and auditability. Compliance report preparation time decreased by 70%, reducing regulatory risk.

Executive Decision Support

C-suite executives access a unified executive dashboard covering premiums written, loss ratios, investment performance, and market share by state. Strategic planning meetings shifted from reviewing historical data to discussing forward-looking trends.

Technologies & Architecture

Analytics Platform

  • - Power BI Premium capacity (P1)
  • - 40+ operational and executive dashboards
  • - Paginated reports for regulatory filings
  • - Power BI Embedded for agent portal

Data Architecture

  • - Azure Data Lake Storage Gen2
  • - Azure Synapse Analytics
  • - Azure Data Factory (ETL pipelines)
  • - Delta Lake format for ACID compliance

Source Systems

  • - AS/400 legacy claims system
  • - Policy administration platform
  • - Agent management system
  • - External weather and demographic data

Security & Compliance

  • - SOC 2 Type II compliant architecture
  • - Row-level security by region/role
  • - PII encryption at rest and in transit
  • - State insurance regulatory compliance

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“The fraud detection analytics alone paid for the entire Power BI implementation within the first year. We prevented $2.4 million in fraudulent claims that our manual processes would have missed. But the real transformation was in our actuarial team -- they went from spending weeks compiling data to spending their time actually analyzing trends and building better pricing models. EPC Group understood the insurance business from day one.”
Chief Analytics Officer
Southern Farm Bureau Life Insurance

Frequently Asked Questions

How does Power BI help insurance companies detect fraud faster?

Power BI integrates with Azure Data Lake and machine learning models to score every incoming claim against 40+ risk indicators including claim amount patterns, provider history, geographic clustering, claimant behavioral profiles, and timing anomalies. High-risk claims are flagged automatically within hours of submission and routed to the Special Investigations Unit (SIU) for review. This replaces the traditional 2-3 week manual review cycle and catches patterns that individual adjusters would miss across the entire claims portfolio.

Can Power BI connect to legacy insurance systems like AS/400?

Yes, Power BI connects to AS/400 and other legacy insurance systems through Azure Data Factory pipelines that extract data from DB2, flat files, and COBOL-generated reports. EPC Group builds automated ETL workflows that ingest data from legacy policy administration platforms, claims management systems, and agent management tools into Azure Data Lake Storage Gen2, where it is transformed and modeled for Power BI consumption. This approach preserves the investment in legacy systems while enabling modern analytics.

How does Power BI improve actuarial reporting for insurance carriers?

Power BI replaces the traditional quarterly actuarial reporting process -- which typically requires 3-4 weeks of manual data preparation by a team of analysts -- with live data models connected to Azure Data Lake or Synapse Analytics. Actuaries access real-time reserve calculations, loss development triangles, and scenario analysis tools directly in Power BI, enabling them to work with current data rather than stale extracts. This reduces actuarial report cycle time from weeks to days while improving accuracy.

Is Power BI compliant with state insurance regulations and NAIC requirements?

Yes, Power BI supports SOC 2 Type II compliance and can be configured to meet state insurance department filing requirements and NAIC reporting standards. EPC Group implements governed Power BI datasets that serve as the single source of truth for regulatory filings, ensuring consistency between internal analytics and external submissions. Row-level security, audit trails, and data lineage tracking through Microsoft Purview provide the auditability that insurance regulators require.

How does Power BI help manage insurance agent performance across regions?

Power BI agent performance scorecards track standardized KPIs including policy production volume, premium growth, retention rates, loss ratios, customer satisfaction scores, and new business conversion rates. Regional managers access ranked leaderboards with drill-downs into individual agent metrics, enabling data-driven coaching sessions. The scorecards also identify top performers for recognition programs, which improved agent retention by 15% at Southern Farm Bureau.

Ready to Modernize Your Insurance Analytics?

EPC Group has deep experience implementing Power BI for insurance carriers, including claims analytics, actuarial reporting, agent performance, and regulatory compliance. Schedule a free consultation to discuss your analytics transformation.

Contact Us(888) 381-9725

Southern Farm Bureau Life Insurance: Power BI Analytics Case Study

EPC Group helped Southern Farm Bureau Life Insurance modernize claims analytics, actuarial reporting, and agent performance tracking with Microsoft Power BI Premium and Azure Data Lake. Results: 45% faster claims processing and 60% faster fraud detection time. Southern Farm Bureau is one of the largest life insurance providers in the southeastern United States.

Key facts

  • 45% reduction in claims processing time after Power BI implementation.
  • 60% faster fraud detection time.
  • Platform: Power BI Premium + Azure Data Lake Storage Gen2.
  • Data sources: policy administration systems, claims management systems, agent management tools.
  • Actuarial reporting cycle reduced from 3–4 weeks to near-real-time.
  • EPC Group: 29 years Microsoft consulting. Insurance analytics specialist.

The challenge

Southern Farm Bureau Life Insurance operates across multiple southeastern states. Its legacy analytics infrastructure could not keep pace with the volume and complexity of modern insurance operations.

  • Claims analytics required weeks of manual data preparation.
  • Actuarial reporting took 3–4 weeks of manual work by a team of analysts.
  • Fraud detection relied on periodic reviews — not real-time pattern detection.
  • Agent performance data was siloed across regional systems with no unified view.

The solution

EPC Group designed and implemented a Power BI Premium analytics platform integrated with Azure Data Lake Storage Gen2.

  • Claims analytics dashboard: real-time claims status, processing time by adjuster, and denial rate tracking.
  • Fraud detection: pattern analysis across claims history, flagging anomalous claims for investigator review in real time.
  • Actuarial reporting: live models connected to Azure Data Lake — replaced 3–4 weeks of manual data prep.
  • Agent performance: production metrics, policy retention rates, and region comparisons across all agents.

Data architecture

EPC Group built automated ETL workflows to consolidate all insurance data sources into a governed analytics environment.

  • Legacy policy administration platforms → Azure Data Lake Storage Gen2 via Azure Data Factory.
  • Claims management systems → Azure SQL transformation layer → Power BI semantic model.
  • Agent management tools → Dataverse integration for CRM-linked agent analytics.
  • Sensitivity labels and row-level security applied throughout — HIPAA and SOC 2 compliant.

Actuarial reporting transformation

The actuarial reporting improvement was the highest-value outcome of the engagement.

  • Traditional quarterly actuarial reports required 3–4 weeks of manual data preparation.
  • After EPC Group implementation: live Power BI models query Azure Data Lake directly.
  • Actuaries run what-if scenarios in minutes instead of weeks.
  • Report delivery to the board shortened from quarterly to monthly.

Frequently asked questions

What Power BI dashboards does EPC Group build for insurance companies?

EPC Group builds claims analytics, fraud detection, actuarial reporting, agent performance, underwriting risk, and customer retention dashboards for life, health, property, and casualty insurers. All dashboards integrate with policy administration systems, claims management platforms, and agent management tools.

How does Power BI improve actuarial reporting?

Power BI connects directly to Azure Data Lake or Synapse Analytics, replacing the manual data export and Excel modeling process. Live semantic models let actuaries run what-if scenarios instantly. Southern Farm Bureau reduced its actuarial reporting cycle from 3–4 weeks to near-real-time after EPC Group's implementation.

How does Power BI detect insurance fraud?

Power BI uses DAX measures and AI-powered anomaly detection to flag claims that deviate from historical patterns — by claim type, amount, provider, and claimant history. Flagged claims surface in an investigator dashboard in real time. Southern Farm Bureau reduced fraud detection time by 60% using this approach.

Schedule a consultation

EPC Group delivers Power BI analytics for insurance companies — from claims processing to actuarial reporting. Call (888) 381-9725 or request a 30-minute discovery call.