Cognizant® Data Analytics Accelerator

A unified agent-driven framework streamlines the entire delivery lifecycle from reverse engineering and design to development and testing by leveraging structured metadata, domain knowledge, and automation to ensure consistent, high-quality outcomes.

Enterprises often maintain thousands of legacy reports, spanning years of evolution across business modules.​

• Lack of Documentation: Most reports have little to no technical or functional documentation, making manual understanding extremely difficult.​

• Human Limitations: Manual reverse engineering and rationalization at this scale is not feasible and highly error-prone.​

• Hidden Complexity: Critical logic and dependencies are often buried in legacy layers, only surfacing late in development, causing delays and rework.​

• Timeline & Quality Risks: Conventional migration approaches struggle to meet timelines while maintaining accuracy, traceability, and functional parity

Our approach utilizes a Gen AI agent-driven framework to automate the reverse engineering, design, and development of modern BI reports from legacy assets, supported by a central knowledge base. ​

Throughout the process, domain experts are involved to validate, enrich, and guide the agents, ensuring accuracy, scalability, and alignment with business goals.