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Business Intelligence in Retail Banking (Strategy Focus)

Published by: Datamonitor

Published: Dec. 26, 2007 - 10 Pages


Table of Contents


DATAMONITOR VIEW
CATALYST
SUMMARY
ANALYSIS
BI must be fully aligned with business processes
Business intelligence for revenue generation activities
Increasing use of performance measurements techniques
Business intelligence supporting financial visibility
Using business intelligence to fight fraudsters
Leveraging business intelligence to minimize risks
Achieving compliance requirements
Ability to respond faster to customers, to regulators or to management generates need for real-time automation
APPENDIX
Definitions
Methodology
Further reading
Ask the analyst
Datamonitor consulting
Disclaimer
List of Figures
Figure 1: Aligning BI solutions with business requirements
Figure 2: Business intelligence solution adoption within the retail banking industry, H1 2007
Figure 3: (Near) real time and no (near) real time requirements for business intelligence solution areas


Abstract

Introduction

Growth of data volumes in disparate sources, ongoing regulatory changes and growing technology capabilities are driving financial services organizations to increase investment in business intelligence technologies. Banks must align intelligent technology with data management techniques in order to improve their decision-making processes.

Scope

Covers the European, North American, Asia-Pacific and Middle East business intelligence in retail banking segment. Areas covered include customer intelligence, performance management, financial analysis, fraud detection, risk management, and compliance. The brief includes BI real-time delivery requirements across solution

Highlights

With more and more financial services institutions feeling the combined effects of a fierce competitive environment, and the need for stronger management, the need to support more formalized performance and risk management, financial analysis, and customer intelligence systems has become an important organizational imperative. BI has come a long way from its origins in the early decision support systems. It is currently in charge of turning transactional data into actionable information and delivering reports to an ever-growing number of information-hungry executives and managers across all lines of business. The value of information decays over time, therefore the real-time ability is promoting business intelligence tools from their status as decision support applications into the domain of decision automation.

Reasons to Purchase

Gain visibility into the dynamics of the retail banking business intelligence market Gain market insight to assist in your strategic planning and go-to-market strategy.


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