Addressing Data Quality at the Enterprise Level: Six Questions to Ensure Enterprise High-Quality Data
Data Management

Addressing Data Quality at the Enterprise Level: Six Questions to Ensure Enterprise High-Quality Data

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.

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 for most organizations—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. This white paper outlines the questions your organization should be asking to gain confidence in the quality of your enterprise-wide data. After reading this 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 organization can use for achieving data quality
How the Informatica platform can help your organization achieve data quality

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