Incorporating an effective data quality solution into your project requires a number of additional activities throughout the lifecycle of your project plan. Some tasks are more suited for business user resources to take the lead on while other tasks are primarily technical activities.

This white paper introduces some of the techniques used by successful companies to plan and successfully implement data quality processes as part of an initiative. While technology greatly facilitates and automates data quality management, it should be applied in accordance with a measurable, objective methodology to assure success and a high ROI for the project. As you’ll see in the pages to follow, process, people, and business expertise are major components in achieving an improvement in data quality, leaving technology as a way to automate and improve processes.

Open the whitepaper here