DATA WAREHOUSE

Replacing or even upgrading an existing customer-product centric platform with a customized and highly configurable end to end solution is a challenging task. Today’s competitive and highly regulated banking environment requires institutions to leverage an expanding wealth of customer data to establish operational efficiency and deliver a competitive advantage. Dynamically aligning new and existing customer behavioral attributes within the framework of data centric performance analytics is critical.

WE CAN HELP YOU …

  • Analyze.  Analyze your operational systems to identify critical data and new data requirements.
  • Dimensional ModelDesign and implement your dimensional model including hierarchies and dimension relationships.
  • Data Visualizations. Design dashboards and data visualizations to focus and drive your business.
  • Data Governance. Outline and Implement data governance procedures to ensure consistent data definitions, quality, and ownership.
  • Integrate. Integrate strategies and learnings into operational systems.

CASE SUMMARY 1

A mid-tier regional bank was searching for a fully integrated data warehouse solution to improve acquisition and marketing efforts including the cross selling of new product offerings to both new and existing customers.  DecisivEdge™ was engaged to deliver  a comprehensive end-to-end assessment to convert an existing, but “data siloed”, warehouse to a fully integrated and marketing analytics oriented platform solution.

CASE SUMMARY 2 

DecisivEdge™ developed the data warehouse strategy for a mid-Atlantic retail bank with $5 Million+ 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 3

DecisivEdge™ provided domain expertise for an enterprise risk data warehouse initiative for a Fortune 50 financial services company.  Our team participated in the analysis and mapping of operational data to the data warehouse design.