Building the Business Case for Data Quality and Governance - Danette McGilvray

Building the Business Case for Data Quality and Governance

Are you trying to gain support for an information quality or data governance initiative in your organization? Awareness of any data quality issue immediately leads to the questions "What impact does information quality have on the business?“, "Why does data governance matter?" and “What’s the return if I invest in them?”

This presentation provides an overview of a variety of techniques for answering those questions. You will learn both qualitative and quantitative methods that provide options based on your situation and the time and resources available. Whether you are beginning an information quality or governance program, trying to include data quality in another project, or are an individual tasked with responsibilities in these areas, you need resources and support - and these approaches will help.  Key topics include:

• Preparing to evaluate business impact
• Techniques for assessing business impact
• Communicating your business case
  

Last year, our chapter formed a book group to discuss Danette's book, Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information".  She would love to get your feedback and hear how it went.  If you would like to discuss, we'll be meeting for a no-host happy hour at the lounge at Best Western Executive Inn from 5-6pm prior to this dinner meeting.  Please join us if you are available!

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Danette McGilvray  is president and principal of Granite Falls Consulting, Inc., a firm that helps organizations increase their success by addressing the information quality and data governance aspects of their business efforts. Focusing on bottom-line results, Danette helps organizations enhance the value of their information
assets by naturally integrating information quality management into the business. A skilled facilitator, program and project manager, she has worked with people in all levels of the organization and from all
functional areas, giving her a valuable perspective of organizational challenges based on real-life experience. She also emphasizes communication and the human aspect of information quality and governance.   

Danette promotes the intentional management of information assets with the same rigor used to manage other company assets such as products and human and financial resources.  Client engagements include establishing and maturing data quality and governance programs. She also helps clients improve the success of
their business intelligence and data integration and migration projects by incorporating information quality management into project methodologies. Granite Falls provides solutions through various means such as executive presentations, training, program/project design, review and implementation, team development, customized consulting and one-on-one coaching.

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 both understanding and creating information and data quality in the enterprise. Her trademarked approach, in which she has trained Fortune 500 clients and thousands of workshop attendees, applies to all types of data and all organizations. Her book is used as a textbook in university graduate programs.

Danette is an invited speaker at conferences around the world. She contributes articles to various industry journals and newsletters and has been profiled in PC Week and HP Measure Magazine. She was invited to the People’s Republic of China to discuss roles and opportunities for women in the computer field. She is a faculty member for The Data Warehousing Institute (TDWI). In 2009, she received the Professional Achievement Award from the Jon M. Huntsman School of Business at Utah State University in Logan, Utah. Danette is a founding member of the International Association for Information and Data Quality Professionals (IAIDQ) and an active member of DAMA International.