White Papers
White Papers

12 Guidelines for Success in Data Quality Projects

This white paper discusses key characteristics of data quality initiatives and provides actionable guidelines to help make your project a success.

The need for accuracy, completeness, and quality of data generated and used in companies and organizations is not a new concept. The “father of computing”, Charles Babbage, asked over 150 years ago how the “right answers” could come out of his computing machine if the “wrong figures” were put in. The concept of “Garbage In, Garbage Out” was created by the earliest programmers in the 1950's and subsequently taught to generations of IT professionals. This paper discusses key characteristics of data quality initiatives and provides actionable guidelines to help make your project a success, from conception through implementation and tracking your ROI.

It's a data driven world. Let us be your guide.

Contact Us