The data quality business case - projecting return on investment from Informatica Computing ITHound

The data quality business case - projecting return on investment
by Informatica
Published:June 2006
Format: Portable Document Format (.pdf)
Length: 20 pages
Overview

There is little doubt that the need for high quality data permeates most information-centric programs, whether they depend on transactional, operational, or analytical applications. In
addition, new events take place and evolving techniques are introduced that affect the way our systems and business operate, all of which are dependent on the best use of quality data, such as:

• Regulatory compliance, in which organizations are required to account for the quality of the data they use and information they disseminate,

• Reengineering, Migration, and Modernization projects, in which older applications are updated and the legacy system data is migrated into new applications,

• Mergers and Acquisitions, in which multiple source data systems are merged into a single operational framework,

• Data Integration programs, such as Customer Data Integration, Product Data Integration, or any other Master Data Management program

Often, developing a business case for the prevention of impacts may appear to be a challenge. Yet, even in the absence of critical events that necessitate senior management action, there is
usually more than enough evidence available within an organization to develop a business case justifying the costs related to data quality improvement. This white paper will present a process for:

• Identifying key business dimensions impacted by poor data quality

• Reviewing approaches that can be used to improve data quality

• Assessing the actual historical costs related to data flaws

• Determining the costs to improve data quality

• Assembling this material into a business case justifying an investment in data quality tools and methodologies

Go to White Paper

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