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 projects where data is migrated and integrated. Including them can help a project stay on time and within budget or 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.
· Information quality and data governance activities throughout the SDLC (solution development life cycle)
· Continuing data governance and quality in production
· 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.
Bring your questions, comments, or insights about the topic. This is an important subject and we want to encourage conversations and action to help all of us make projects and their intended business results more successful.
Danette McGilvray is president and principal of Granite Falls Consulting, Inc., a firm that helps organizations increase their success by applying information quality management and data governance to impact bottom-line results. She also emphasizes communication and the human aspect of data quality and governance.
Danette is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ (Morgan Kaufmann, 2008). An internationally respected expert, her Ten Steps™ approach to information quality has been embraced as a proven method for creating, improving, and managing data quality in the enterprise. Her trademarked approach, in which she has trained Fortune 500 clients and thousands of workshop attendees around the world, applies to all types of data and all organizations. Her book is used as a textbook in university graduate programs. The Chinese translation is the first data quality book available in Chinese.
You can see her most recent writing on other aspects of data quality in Danette’s chapter on “Data Quality Programs and Projects” in the book Handbook of Data Quality: Research and Practice, Shazia Sadiq, editor (Springer, 2013). A Cutter Consortium Executive Report, “Data Quality and Governance in Projects: Knowledge in Action" can be downloaded from http://www.cutter.com/offers/dataqual.html. (Note: Feel free to share the link with others who may be interested, but Cutter requests that people go to the Cutter site to download the article, so please do not post or distribute the pdf directly.)
See more at www.gfalls.com or contact her at firstname.lastname@example.org.
7:30 - 8:00 am Registration and Continental Breakfast
8:00 - 8:20 am Announcements and Introductions
8:20 - 10:00 am Presentation
10:00 - 10:15 am Morning Break
10:15 - 12:00 pm Presentation
12:00 - 1:00 pm Lunch
1:00 - 2:15 pm Presentation
2:15 - 2:30 pm Afternoon Break
2:30 - 4:00 pm Presentation
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