Information is foreign money. In immediately’s world of prompt international communication and quickly altering developments, up-to-date and dependable data is important to efficient competitors. Recent research present that knowledge high quality issues are costing companies billions of {dollars} every year, with poor knowledge linked to waste and inefficiency, broken credibility amongst clients and suppliers, and an organizational incapacity to make sound selections.

In Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, Danette McGilvray presents a scientific, confirmed strategy to enhancing and creating knowledge and knowledge high quality inside the enterprise. She describes a strategy that mixes a conceptual framework for understanding data high quality with the instruments, strategies, and directions for enhancing and creating data high quality. Her trademarked “Ten Steps” strategy applies to all sorts of knowledge and to all sorts of organizations.

* Includes quite a few templates, detailed examples, and sensible recommendation for executing each step of The Ten Steps strategy.
* Allows for fast reference with an easy-to-use format highlighting key ideas and definitions, essential checkpoints, communication actions, and finest practices.
* A companion Web website consists of hyperlinks to quite a few knowledge high quality assets, together with lots of the planning and information-gathering templates featured within the textual content, fast summaries of key concepts from The Ten Step methodology, and different instruments and knowledge that’s accessible on-line.

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