-Allows readers to go directly to the topic of interest -Provides web-based material so readers can cut and paste figures and tables into documents within their organizations Gives step-by-step instructions for applying most techniques and summarizes what works Can any subject inspire less excitement than data quality? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality. Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, describes the most important data quality problems facing the typical organization, and outlines what an organization must do to improve. It consists of 36 short chapters in an easy-to-use field guide format. Each chapter describes a single issue and how to address it. Book Info(Digital Press) A guide providing practical assistance to those starting and advancing a data quality program. Features step-by-step instructions for applying most techniques, and summaries of what 'works.' Format allows readers to go directly to the topic of interest, and Web based material is also included. Softcover. DLC: Database management--Quality control.