Our Approach

Our approach focuses on starting small, be it shortlisting one function like AML, Fraud, LTCV, share of wallet etc., or identifying an area based on stakeholder preference. Subsequently we do the following.

• Evolve program objectives and detail business needs and initial focus areas
• Build a data store – physical or virtual, to address business needs. This involves data analysis from multiple versions of truth as well as discovery of embedded relationships, rules and logic
• Develop PoCs aimed at fine tuning stakeholder expectation. These may range from using advanced algorithms to estimate risk scenarios, to portals for on demand visualizations
• Design of Experiments (DoE) to evaluate outcomes with smaller business segments
• Based on the DoE results, scale out the solution as DIU portals, recommendation engines and automated reports as appropriate
• Measure the outcome and finalize the matured approach leading to institutionalization across the organization and scale the approach to include other focus areas