Insurance
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Data Analytics
Technical Strategy and Consultation

Replacing manual reconciliation with scalable financial controls

Services

Data Analytics

Consultants: Pallari Mujumdar

A multi-billion-dollar insurance company faced challenges in reconciling financial data received from multiple internal and external sources in both standardized and non-standardized formats. To address these challenges, the company sought to enhance its financial reporting methodologies and demonstrate accurate, SOX-compliant financial reconciliation.

Challenge

As the insurance company grew through expansion and acquisitions, reconciling financial data across disparate systems became increasingly complex, manual, and difficult to audit.

Solution

The insurance company implemented an automated data quality and validation framework to standardize controls, improve reconciliation, and support SOX-compliant financial reporting at scale.

Impact

Automation replaced manual reconciliation, improving reporting reliability, audit readiness, and scalability across the enterprise.

The Challenge

As the client’s business expanded, so did their data ecosystem, including legacy/modern OLTP systems, Excel-based reporting systems. Having multiple data sources meant an inconsistent format, including a lot of missing data.

The lack of standardized control checks made financial reporting difficult to scale. Data validation and reconciliation were largely manual, creating delays in meeting financial SLAs and increasing the risk of reporting errors. These challenges also made it difficult to demonstrate consistent, auditable internal controls required for SOX compliance, especially as data volume and complexity continued to grow.

The Solution

We implemented an automated data quality and validation framework to apply standardized quality checks across all financial data sources including Policy Premiums, Third Party Administrators- Claims and Earnings.

The validation framework was designed to validate financial data points in every step of the way. Therefore, every time the data was moved through the layers of the Data Lake, validation checkpoints were put in place.

The framework validated: 

  • 100 + source systems (Policy and Claims combined) 
  • Quality checks specific to Premium, Claims and Earnings 
  • Data completeness and record counts 
  • Missing data points 
  • Field-level accuracy and formatting 
  • Cross-system reconciliations 
  • Business rule consistency 

The testing results persisted and surfaced through Power BI reports. These reports are the foundation of a SOX reporting solution that provides clear, auditable evidence of data controls and validation of outcomes. This allowed finance and audit teams to trace financial figures back to source systems and demonstrate compliance during audits. 

Technologies Used: 

  • Azure Synapse Analytics 
  • PySpark & Spark SQL 
  • Power BI 
  • Automated Data Quality & SOX Control Reporting 

The Impact

The automated validation framework reduced manual reconciliation while improving accuracy, timeliness, and reliability of financial reporting. Standardized, auditable controls strengthened SOX compliance and enabled finance and audit teams to confidently trace results back to source systems. The scalable approach also ensured consistent reporting and governance as the organization continued to grow through acquisitions.

Improved reliability and timeliness of financial reporting
Provided scalable reporting and QA processes that could grow with future acquisitions
Reduced manual QA and reconciliation effort through automation
Strengthened SOX compliance through documented, repeatable, and auditable controls
Enabled consistent application of controls across newly acquired entities

Get in Touch

Discover how Green Leaf Consulting Group’s strategic IT solutions can bring you growth through technology. Contact Neil McCole at neilm@greenleafgrp.com or (484) 535-4405.

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