Studie - Business Intelligence in Retail Banking (Strategy Focus)

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.

DATAMONITOR VIEW 1

CATALYST 1

SUMMARY 1

ANALYSIS 2

BI must be fully aligned with business processes 3

Business intelligence for revenue generation activities 3

Increasing use of performance measurements techniques 4

Business intelligence supporting financial visibility 4

Using business intelligence to fight fraudsters 5

Leveraging business intelligence to minimize risks 6

Achieving compliance requirements 6

Ability to respond faster to customers, to regulators or to management generates need for real-time automation 7

APPENDIX 9

Definitions 9

Methodology 9

Further reading 10

Ask the analyst 10

Datamonitor consulting 10

Disclaimer 10

List of Figures

Figure 1: Aligning BI solutions with business requirements 2

Figure 2: Business intelligence solution adoption within the retail banking industry, H1 2007 5

Figure 3: (Near) real time and no (near) real time requirements for business intelligence solution areas 7

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