Transforming claims processing and actuarial reporting with Power BI
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%.
45%
Faster Claims Processing
60%
Faster Fraud Detection
2,500+
Agents Tracked
$2.4M
Fraud Losses Prevented
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 The models relied on static data extracts that were often outdated by the time analysis was complete.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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
60% faster budget reporting, public transparency dashboards
Global enterprise Power BI implementation
200+ projects tracked, 30% fewer overruns
“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.”
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.
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.
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.
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.
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.
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.