Executing Data Quality Projects presents a systematic‎,‎ proven approach to improving and creating data and information quality within the enterprise‎.‎ Recent studies show that 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.‎ This book describes a Ten Step approach that combines a conceptual framework for understanding information quality with the tools‎,‎ techniques‎,‎ and instructions for improving and creating information quality‎.‎ It includes numerous templates‎,‎ detailed examples‎,‎ and practical advice for executing every step of the approach‎.‎ It allows for quick reference with an easy‎-to‎-use format highlighting key concepts and definitions‎,‎ important checkpoints‎,‎ communication activities‎,‎ and best practices‎.‎ The author‎'‎s trademarked approach‎,‎ in which she has trained Fortune 500 clients and hundreds of workshop attendees‎,‎ applies to all types of data and all types‎.‎‎.‎‎.‎