PDF BookEnterprise Knowledge Management The Data Quality Approach (The Morgan Kaufmann Series in Data Management Systems)

Download PDF Enterprise Knowledge Management The Data Quality Approach (The Morgan Kaufmann Series in Data Management Systems)



Download PDF Enterprise Knowledge Management The Data Quality Approach (The Morgan Kaufmann Series in Data Management Systems)

Download PDF Enterprise Knowledge Management The Data Quality Approach (The Morgan Kaufmann Series in Data Management Systems)

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Book Details :
Published on: 2001-01-31
Released on:
Original language: English
Download PDF Enterprise Knowledge Management The Data Quality Approach (The Morgan Kaufmann Series in Data Management Systems)

Today, companies capture and store tremendous amounts of information about every aspect of their business: their customers, partners, vendors, markets, and more. But with the rise in the quantity of information has come a corresponding decrease in its quality--a problem businesses recognize and are working feverishly to solve.Enterprise Knowledge Management: The Data Quality Approach presents an easily adaptable methodology for defining, measuring, and improving data quality. Author David Loshin begins by presenting an economic framework for understanding the value of data quality, then proceeds to outline data quality rules and domain-and mapping-based approaches to consolidating enterprise knowledge. Written for both a managerial and a technical audience, this book will be indispensable to the growing number of companies committed to wresting every possible advantage from their vast stores of business information. Key Features* Expert advice from a highly successful data quality consultant* The only book on data quality offering the business acumen to appeal to managers and the technical expertise to appeal to IT professionals* Details the high costs of bad data and the options available to companies that want to transform mere data into true enterprise knowledge* Presents conceptual and practical information complementing companies' interest in data warehousing, data mining, and knowledge discovery Motivations for social networking at work - dl.acm.org The introduction of a social networking site inside of a large enterprise enables a new method of communication between colleagues encouraging both personal and ... Business process - Wikipedia Paul's Harmon (2007). Business Process Change: 2nd Ed A Guide for Business Managers and BPM and Six Sigma Professionals. Morgan Kaufmann; E. Obeng and S. Crainer S ... Browse titles in books - ScienceDirect Please note that Internet Explorer version 8.x will not be supported as of January 1 2016. Please refer to this blog post for more information. Handbook on Data Quality Assessment Methods and Tools EUROPEAN COMMISSION EUROSTAT Handbook on Data Quality Assessment Methods and Tools Mats Bergdahl Manfred Ehling Eva Elvers Erika Fldesi Thomas Krner Andrea ... Browse titles in journals and book content beginning with "S" Please note that Internet Explorer version 8.x will not be supported as of January 1 2016. Please refer to this blog post for more information. IT risk management - Wikipedia IT risk management is the application of risk management methods to information technology in order to manage IT risk i.e.: The business risk associated with the use ... Data Mining Techniques - Statistics Textbook Data Mining. Data Mining is an analytic process designed to explore data (usually large amounts of data - typically business or market related - also known as "big ... How to perform Critical Path Method (CPM) and find Float ... offpeaktraining.com - This video provides an overview of how to perform Critical Path Method (CPM) to find the Critical Path and Float using a ... SAS Global Forum 2015 proceedings: - Lex Jansen You Say Day-ta I Say Dat-a: Measuring Coding Differences Considering Integrity and Transferring Data Quickly Jason Beene Mary Katz Keywords: Proc Download ... Linked Data: Evolving the Web into a Global Data Space Chapter 2 Principles of Linked Data. The term Linked Data refers to a set of best practices for publishing and interlinking structured data on the Web.
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