Published on 14 May 2012
“ Our predictive analytics service will help financial institutions focus on their most profitable customers and create goal-oriented offers that are targeted to each customer’s specific needs. ”
David Rose, Senior Vice President, Decision Optimization Solutions, Fiserv
Banking, Financial Markets
With the trend toward consolidation in the banking industry, small and midsize banks and credit unions are seeking new ways to attract, retain and grow profitable customer relationships while competing with the resources of mega banks. Working with IBM, Fiserv is turning billions of transactions into actionable insights that help these banks better target offers and maximize their marketing dollars. Moving to a virtualized infrastructure is expected to help Fiserv save an estimated USD8 million during the next five years.
Small and midsize banks and credit unions seek to attract, retain and grow profitable customer relationships while competing with the analytic capabilities of new mega banks.
Working with IBM, Fiserv is turning billions of transactions into actionable insights that help these banks better target offers and maximize their marketing dollars. The use of cloud technologies to consolidate and virtualize servers helps reduce costs and increase availability.
Estimated increase of 100 percent or higher in the response rate to targeted marketing initiatives; estimated IT savings of USD8 million in five years.
IBM products and services that were used in this case study.
AIX, InfoSphere Warehouse, DB2 for Linux, PowerVM, SPSS Statistics Standard, SPSS Collaboration and Deployment Services, PowerHA, WebSphere Application Server, InfoSphere DataStage, Tivoli Storage Manager, SPSS Modeler Server, InfoSphere Discovery, IBM Banking Data Warehouse, Cognos Business Intelligence, Tivoli System Automation for Multiplatforms
Power 770, Power Systems running AIX Standard Edition, Power Systems running i
GTS ITS Server: Server Product Services for Power Systems, Software Services for Information Management
Big Data, Big Data & Analytics, Big Data & Analytics: Customers, Cloud Computing, Data Warehouse, Server Consolidation, Smarter Computing, Virtualization - Server
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