Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM), by Danette McGilvray presents scientific strategy for improving and creating data and information high quality throughout the enterprise. Creator describes a methodology that combines a conceptual framework for understanding information quality with the tools, strategies, and directions for bettering and creating data quality.
In today’s world of on the spot world communication and rapidly changing tendencies, up-to-date and reliable data is important to effective competition. Current studies show that information quality issues are costing businesses billions of dollars annually, with poor knowledge linked to waste and inefficiency, broken credibility among customers and suppliers, and an organizational incapacity to make sound decisions.
The trademarked “Ten Steps” strategy applies to all types of knowledge and to all forms of organizations.Data high quality problems value businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, within the regular erosion of an organization’s credibility among customers and suppliers, and the shortcoming to make sound decisions.
Executing Data Quality Projects, by Danette McGilvray combines conceptual framework for understanding info high quality with methods and directions for improving it. The Ten Step approach applies to all sorts of information and to all types of organizations. It additionally contains quite a few templates, detailed examples, and sensible recommendation for executing each step of The Ten Steps approach.
Allows for quick reference with an easy-to-use format highlights key ideas and definitions, vital checkpoints, communication activities, and finest practices. A companion Web page consists of links to quite a few knowledge quality assets, including lots of the planning and information-gathering templates featured in the text, fast summaries of key ideas from The Ten Step methodology, and other instruments and knowledge which are available online.
Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM) [Paperback]
Morgan Kaufmann; 1 edition
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