Objective

• A large European Investment bank wanted to build a new integrated and unified system in place of existing fragmented system for the purpose of eliminating key man risk, better control and regulatory compliance
  
  • The big data model approach to have a completely new system which can cater to the various groups within CFO organization for financial and regulatory reporting
    
  • System Design, Data modelling, Data enrichment, Validations, Adjustments, Data sourcing and reporting and support development in agile environment

Challenges

• Catering to a challenging vision in building a single platform for multiple group leads to complex data modelling and design challenges
  
• Aligning the program’s vision with the user requirements is a challenge for BA's to balance and provide an acceptable solutions
  
• Documentation of current state analysis with as-is model with validation checks and creating POC’s for critical control validations
  
• Identifying a right mix of talent across different area’s within change function
  

CRISIL's solution

• Solutioning &  Documenting the Requirement
  
  • Gap and impact analysis
  • BRDs & solutioning
  • PoC's
    
• Development Support, Testing & Validation
  
  • Mock-ups & User Stories
  • Test cases & scenarios
  • Functional testing
• Dry Run, Parallel Run & Go Live
  
  • Dry, Parallel run and Go-live support & User education
  • Variance analysis and presentation to business
    
• Project Management, Governance & Control
  
  • Support to OpCo, working group, design forum etc.
  • RAID logs, standardisation of sprint planning and reporting
    

200+ reports for Group Disclosure, Provided support across functions within finance change team, documentation of the end to end business process etc.,

• Data Modelling
  
  • Physical data modelling and logical data modelling in big data platform to cater to the multiple reporting group within CFO Organization
• Sourcing & Reporting
  
  • Front to back data flow of the existing vs. proposed structure, identifying required attributes, documentation of reporting logic, analysis & validations
    
• Common Services
  
  • Data quality rules, Exception management, Reconciliation of source vs platform, Business rules for data enrichment, Adjustment & Close management
    

Questions

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