The client is among the largest global providers of insurance, annuities, and employee benefit programs and a Fortune 500 company with a revenue of more than $50 billion (2018). The company offers a wide range of products including annuities, life, and disability to individual customers and life, dental, disability, long-term care, critical illness, legal insurance, and pet insurance to institutional customers.
The client’s existing Actuarial System was an in-house legacy system, where most of the processes setup were manual in nature. There are multiple modelling systems for risk management, liquidity risk, etc, wherein data for all these feed from various systems. The source systems transferred data to the staging environment in an unstructured manner using disparate technologies. With these systems built over 15+ years, there was no documentation of the data transformation wherein all logic resides only in code.
Infosys collaborated with the client as a part of their modernization program to move the data and data loading logic into a Hadoop based big data platform to improve efficiency and accuracy of the modelling process. The Business Rule Extraction (BRE) approach accelerates the journey of harvesting ASIS rules from Legacy Applications for any modernization, digitalization or platform consolidation program. This is a Zero distance initiative pioneered by Infosys.
Key Challenges
- Lack of documentation
- High dependency on a few for technical know how
- Difficulty in understanding the application/domain landscape
- Complex logic embedded in multiple technologies making it difficult to extract the business logic
Ready to experience?
TALK TO EXPERTS
The Solution
Infosys Methodology Leveraged
- Tool-based approach adopted for analysis and build phase
- Removal of unnecessary sections of legacy code such as comments and dead codes, etc.
- Conversion of code to a technology agnostic unified object structure
- Tool generated application profile helped to determine the cyclomatic complexity and other code analytics helped in analysis
- Graphical representation of the application code by program flow/control flow diagrams simplified complex flow analysis leading to significant reduction in legacy code analysis effort
- Easy-to-use interface for rule annotation
- Ensured 100% code coverage for rule extraction
- Reduced documentation time as tool integrated with rule repository platform for review and finalize
Integrated Framework Implemented
- Integrated solution which supports multiple use cases i.e. rule extraction, PII data discovery, defect impact analysis, and other legacy modernization activities
- Solution built on open source technology which can be easily extended to other programming languages
- Enriched UI experience for better usability
- Centralized repository which holds source code and extracted rules and analysis reports
Benefits
Reduced the requirement definition time for large transformational initiatives and helped implementing them sooner by three months
Reduced the risk and cost avoidance of missing requirements by identifying the business rules in legacy applications early in the analysis phase for the modernization initiatives
Helped in improving the productivity of customer service reps by 30%
Reduced the cost of the original project from 600K to 200K and executed with >30% PAT using few resources
Mined rules from 30+ applications covering 4M LOC at 2.5 MUSD additional revenue
99% accuracy in rule extraction achieved
35% reduction in cost/time along with 100% test automation
Resulted in a productivity gain of approximately 30% over and above the offshore cost savings
Reduced the elapsed time required for the Business Rule Extraction process considerably
Supported documenting the current system’s functionality
