Addressing Data Quality at the Enterprise Level - Six questions your organisation should ask to ensure high-quality data from Informatica IThound

Addressing Data Quality at the Enterprise Level - Six questions your organisation should ask to ensure high-quality data
by Informatica
Published:October 2005
Format: Portable Document Format (.pdf)
Length: 16 pages
Overview

Data quality encompasses more than finding and fixing missing or inaccurate data. It means delivering comprehensive, consistent, relevant and timely data to the business regardless of its application, use or origin.

Ensuring data quality is a challenge fro most organisations - partly because they may not be fully aware of their own data quality levels. Without this information, they cannot know the full business impact of poor or unknown data quality - or how to begin addressing it.

Poor data quality is a costly issue. Findings from PricewaterhouseCoopers Global Data Management survey found that 75 percent of those surveyed reported significant problems as a result of defective data, more than 50 percent had incurred extra costs due to the need for internal reconciliations, 33 percent had been forced to delay or scrap new systems, 33 percent had failed to bill or collect receivables, and 20 percent had failed to meet a contractual or service-level agreement. Through 2007, more than 50 percent of data warehouse projects will have limited acceptance , if not outright failure, as a result of lack of attention to data quality(0.8 probability) .

New compliance drivers are also pushing organisations to scrutinize the quality of their data. Accounting reform legislation such as Sarbanes-Oxley Act in the United States and Basel II in Europe demands that information be accurate and transparent. High-quality data is essentila for companies to meet these new requirements.

The stakes are high. Put simply, to realise the full benefits of investments in enterprise computing systems, your organisation must have detailed understanding of the quality of its data- where quality is poor, how to clean it, and how to keep it clean. By making quality a strategic priority, your organisation better positions itself to streamline operations, grow revenue, keep costs in check, and achieve long-term competitive advantage.

This white paper outlines the questions your organisation should be asking to gain confidence in the quality of your enterprise-wide data. After reading this white paper, you'll understand:

* What is meant by the term "data quality".
* Why data quality is critical to your business operations.
* The different factors that compromise data quality.
* The various strategies your organisation can use for achieving data quality
* How the Informatica platform can help your organisation achieve data quality.

Go to White Paper

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