ANALYTICS

Today’s competitive and highly regulated banking environment requires financial institutions to leverage the wealth of customer data to create operational efficiency and deliver a competitive advantage.

High performing financial institutions are deriving insights to:

  • Lower cost to acquire
  • Deliver a personalized customer experience
  • Improve cross sell performance
  • Streamline the BSA/AML reporting process
  • Consolidate and centralize regulatory reporting

WE CAN HELP YOU …

  • Maturity Assessment. Evaluate the organizational maturity of your analytics environment, capabilities and governance processes.
  • Create an Action Plan. Develop a roadmap to create or improve compliance, marketing and operational analytics.
  • Create or Enhance an Analytic Infrastructure. Design and develop a data warehouse and data marts to support data driven decisioning.
  • Operationalize Care and Feeding. Develop ETL processes to support analytic activities.
  • Ensure Data Integrity. Improve data quality through the implementation of Quality assurance best practices.
  • Implement Governance. Develop and implement appropriate governance policies and processes to maintain the relevance of the analytic environment.
  • Create Actionable Insights. Develop customer segmentation and modeling capabilities to enhance organizational decision making.
  • Take Action. Enhance operational systems and business processes to embrace and enable data-driven decision making.

CASE SUMMARY 1

DecisivEdge principals analyzed credit card payment trends and developed a Customer Segmentation model that could be translated into new strategies for marketing to more than 64 different customer groups based on their purchasing behavior. This Customer Segmentation methodology is now a foundational component of this Fortune 50 financial institution’s analytic infrastructure.

CASE SUMMARY 2 

DecisivEdge principals developed detailed analytics on specific profitability levers that enabled yield management on a $180 billion consumer card and small-business loan portfolio for a Fortune 50 financial institution.

CASE SUMMARY 3

DecisivEdge developed the data warehouse strategy, metric definitions and build plan for the credit card division of a Fortune 500 financial services company.

CASE SUMMARY 4

DecisivEdge developed the data warehouse strategy for a mid-Atlantic retail bank with $5 billion+ in assets.  We provided insights into specific data use cases to develop requirements, assessed the quality of the operational data, developed the data warehouse schema and delivered a 12-month roadmap.

CASE SUMMARY 5

DecisivEdge provided domain expertise for an enterprise risk data warehouse initiative for a global bank; we participated in the analysis and mapping of operational data to the data warehouse design.