Data Quality Management Process

Addressing Organizational, Cultural, Process, and Technology Infrastructure Issues for High-Quality Data Enterprise-wide

To date, most organizations that have attempted to tackle data quality have implemented tactical solutions to improve quality within a single application or within a single business process. While this approach may mitigate the problem for part of the organization in the short term, such limited initiatives generally fail to achieve long-term data quality improvement on a broad scale. To solve the data quality issue for good requires an enterprise-wide approach that addresses organizational, cultural, process and technology infrastructure.

Informatica’s own Data Quality Management Process provides a comprehensive, holistic approach to dealing with data quality issues. This process helps organizations continually improve data quality enterprise-wide.

The stages of Informatica’s Data Quality Management Process mirror or can be adapted to fit with other common quality methodologies such as Six Sigma. This means that Informatica products can be used as the platform for driving enterprise-wide data quality initiatives regardless of the system the organization follows.