Danette McGilvray – Executing Data Quality Projects

Currency is information. It’s not like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it In today’s world of instant global communication and rapidly changing trends, up-to-date and reliable information is essential to effective competition. Data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions, according to recent studies.

In. Data Quality Projects: Ten Steps to Quality Data and Trusted Information Danette McGilvray presents an approach to improving and creating data and information quality. She describes a methodology that combines a conceptual framework for understanding information quality with the tools, techniques, and instructions for improving and creating information quality. All types of data and organizations are covered by her trademarked approach.

The Ten Steps approach includes numerous templates, detailed examples, and practical advice. It allows for quick reference with an easy-to-use format highlighting key concepts and definitions. Many of the planning and information-gathering templates featured in the text, as well as quick summaries of key ideas from The Ten Step methodology, can be found on a companion Web site.