Realtime Subscription Revenue Management

Insurance Claims Management

United States

Revenue & Profitability Analytics | Insurance Claims Processing | SAP BI Stack | Operational Decision Augmentation

Business Challenge :

Multiple business challenges can negatively impact operations and profitability. These include long cycle times in data reconciliation, missed revenue, reconciliation and recovery issues, and scalability limitations. These challenges can result in delays in claims processing, lost revenue opportunities, and increased operational costs.

Proposed Solution:

A more efficient and effective way to manage the company’s data, leading to improved operations and increased profitability. The company can implement a virtual data warehouse approach. This involves building a platform that integrates key systems such as ERP, invoice management, subscription management, CRM, and banks. By leveraging a mix of cloud-based and on-premise deployments, this platform can provide near real-time data for all reporting needs. With this approach, the company can streamline data reconciliation processes, reducing cycle times and minimizing missed revenue opportunities. The virtual data warehouse can also improve reconciliation and recovery efforts, enabling the organization to more effectively identify and recover lost revenue. Also, the scalable architecture of this approach allows the organization to grow and adapt to changing business needs over time

KPIs Measured:

  • True Up cycle Time & Lag time 
  • Aging Performance 
  • Bad Debt 
  • Delinquency
  • BRS & IRS optimization
  • Reduction in manual intervention

Key Features/Functionalities

  • Eliminated ETL processes and improved data management efficiency with Virtual Data Models.
  • Improved data processing performance with full pushdown optimization design. 
  • Enabled near real-time data availability for timely decision-making and claims management. 
  •  Broadcasted important data to all field personnel across continental US. 
  •  Streamlined claims management process by integrating with planning and forecasting systems.
  •  Reduced complexity by phasing out customer bespoke processes. 
  • Improved data consistency and management with standardized operational environment across divisions.

Architectural Diagram

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