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Synopsis
Data Sharing Using a Common Data Architecture Wouldn’t it be a pleasure to know and understand all the data in your organization? Wouldn’t it be great to easily identify and readily share those data to develop information that supports business strategies? Wouldn’t it be wonderful to have a formal data resource that provides just–in–time data for developing just–in–time information to support just–in–time decision making? Data Sharing Using a Common Data Architecture shows you how by:
- Defining a common data architecture, its contents, and its uses
- Refining data to a common data architecture
- Discussing disparate data, its structure, quality, and how to identify it
- Describing how Data Sharing Reality is achieved
- Focusing on the importance of people and creating a win–win situation
- Providing a data lexicon and extensive glossary
"synopsis" may belong to another edition of this title.
About the Author
About the author MICHAEL H. BRACKETT is the Data Resource Coordinator for the State of Washington’s Department of information Services. He is a well–known author and speaker on data design and modeling. He has lectured for the Data Resource Management Association (DRMA) and the University of Washington certificate program in data resource management. He has written articles for Database Programming & Design, Data Base Management, and Data Resource Management. Michael Brackett is listed in Who’s Who in the West and Who’s Who in Education.
From the Back Cover
Data Sharing Using a Common Data Architecture Wouldn t it be a pleasure to know and understand all the data in your organization? Wouldn t it be great to easily identify and readily share those data to develop information that supports business strategies? Wouldn t it be wonderful to have a formal data resource that provides just–in–time data for developing just–in–time information to support just–in–time decision making? Data Sharing Using a Common Data Architecture shows you how by:
- Defining a common data architecture, its contents, and its uses
- Refining data to a common data architecture
- Discussing disparate data, its structure, quality, and how to identify it
- Describing how Data Sharing Reality is achieved
- Focusing on the importance of people and creating a win–win situation
- Providing a data lexicon and extensive glossary
"About this title" may belong to another edition of this title.
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Data Sharing Using a Common Data Architecture (Wiley Professional Computing)
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