Organizations make substantial investments in projects. Of course, the more effective the projects, the sooner they realize business results. Historically, many projects have concentrated their efforts on people, processes, and technology. Many, however, fail to fully address the data and information aspects of their efforts.
Information quality and governance can make or break any project where migrating or integrating data is in scope. Including them can help a project stay on time and within budget. Excluding them can break the project by increasing project costs and timelines due to poor quality data and lack of good decisions. The team should also look ahead during the project and lay a foundation where data quality and governance continue to be managed once in production.
- Myths and the reality of projects
- The value of data governance and quality in projects
- Information quality and data governance activities throughout the SDLC (software/system/solution development life cycle)
- Setting the foundation for data governance and quality in production and operational processes
- Real-life best practices and lessons
Come prepared to share your project challenges, interact with your fellow attendees through fun group exercises, and learn proven methods for increasing your project success through data quality and governance. It is assumed that all students are familiar with basic concepts of data governance, data quality, and project management. We will not spend time explaining those principles, but will delve into how to put them into action in any project. Bring your questions, comments, or insights about the topic. This is an important subject and we want to encourage practices that help all of us make projects and their intended business results more successful. Attendees will receive a hardcopy of the Executive Report “Data Quality and Governance in Projects: Knowledge in Action” by Danette McGilvray and Masha Bykin (Cutter Consortium, 2013).