Danette McGilvray is President and Principal of Granite Falls Consulting, Inc., a firm specializing in information quality management to support key business processes around customer satisfaction, decision support, supply chain management, and operational excellence. Past projects include enterprise data integration programs, data warehousing strategies and best practices for large-scale Enterprise Resource Planning (ERP) data migrations for Fortune 500 organizations. Danette helps clients in many industries by providing consulting and training to address their information and data quality challenges. These issues result in waste and inefficiency, damaged credibility with customers and suppliers, and lack of trust in the information on which a company depends for making decisions and transacting business.
Danette is an invited speaker at conferences throughout the United States and Europe. She has been profiled in PC Week and HP Measure Magazine and was an invited delegate 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) 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. She authored best practices highlighted in Larry P. English’s Improving Data Warehouse and Business Information Quality, which is a highly regarded book about information quality and value.
Danette is author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, published by Morgan Kaufmann Publishers. This book contains her “Ten Steps” approach to information quality—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 hundreds of workshop attendees, applies to all types of data and to all types of organizations. See more about the book at:http://tensteps.gfalls.com/


