October 2014

Sponsored by Kalido Inc.

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This paper examines four use-case-based business needs in banks and financial institutions that demand increasing speed, agility and business-IT collaboration in today’s market conditions. In each of these areas–reporting, risk management, customer profitability and responsive decision making–we examine the business challenges, prior and current implementation problems, and the answers offered by data warehouse automation. 

Abstract

Banking and financial institutions have been long-time innovators in business intelligence, using data warehousing to improve reporting, drive profitability and reduce risk. However, rapidly changing market conditions, increased regulation and the emergence of new competition are driving a need for faster, bigger and more agile solutions. Traditional data warehouse implementation approaches struggle to meet these needs. Data warehouse automation–using an integrated set of tools and techniques that automate the design, delivery and maintenance of data warehouses and marts–is now addressing these demands.

This paper examines four use-case-based business needs in banks and financial institutions that demand increasing speed, agility and business-IT collaboration in today’s market conditions. In each of these areas–reporting, risk management, customer profitability and responsive decision making–we examine the business challenges, prior and current implementation problems, and the answers offered by data warehouse automation.

We conclude that this agile, integrated and structured approach, with enhanced collaboration between business and IT, drives faster and more flexible IT solutions and, ultimately, better and repeatable business results.