9781935504108 - data resource simplexity: how organizations choose data resource success or failure de brackett, michael h. (28 resultados)
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Hardcover. Condición: new. Hardcover. Do you fully understand all the data in your organisation's data resource? Can you readily find and easily access the data you need to support your business activities? If you find multiple sets of the same data, can you readily determine which is the most current and correct? No? Then consi…der this book essential reading. It will help you develop a high quality data resource that supports business needs. The book explains how a data resource goes disparate, how to stop that trend toward disparity, and how to develop a high quality, comparate data resource. It explains how to stop the costly business impacts of disparate data. It explains both the architectural and the cultural aspects of developing a comparate data resource. It explains how to manage data as a critical resource equivalent to the other critical resources of an organisation -- finances, human resource, and real property.Drawing from his nearly five decades of data management experience, plus his leveraging of theories, concepts, principles, and techniques from disciplines as diverse as human dynamics, mathematics, physics, agriculture, chemistry, and biology, Michael Brackett shows how you can transform your organisation's data resource into a trusted invaluable companion for both business and data management professionals. Chapter 1 reviews the trend toward rampant data resource disparity that exists in most public and private sector organisations today -- why the data resource becomes complex. Chapter 2 introduces the basic concepts of planned data resource comparity -- how to make the data resource elegant and simple. Chapter 3 presents the concepts, principles, and techniques of a Common Data Architecture within which all data in the organisation are understood and managed. Chapters 4 to 8 present the five architectural aspects of data resource management. Chapter 4 explains the development of formal data names. Chapter 5 explains the development of comprehensive data definitions. Chapter 6 explains the development of proper data structures.Chapter 7 explains the development of precise data integrity rules. Chapter 8 explains the management of robust data documentation. Chapters 9 through 13 present the five cultural aspects of data resource management. Chapter 14 presents a summary explaining that development of a comparate data resource is a cultural choice of the organisation and the need for a formal data resource management profession. Explains how a data resource goes disparate, how to stop that trend toward disparity, and how to develop a high quality, comparate data resource. This title shows how to stop the costly business impacts of disparate data. It also explains both the architectural and the cultural aspects of developing a comparate data resource. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condición: New. Num Pages: 597 pages, black & white illustrations, figures. BIC Classification: KJ. Category: (G) General (US: Trade). Dimension: 252 x 180 x 38. Weight in Grams: 1318. . 2011. First. Paperback. . . . .
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Condición: New. Num Pages: 597 pages, black & white illustrations, figures. BIC Classification: KJ. Category: (G) General (US: Trade). Dimension: 252 x 180 x 38. Weight in Grams: 1318. . 2011. First. Paperback. . . . .
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Hardcover. Condición: new. Hardcover. Do you fully understand all the data in your organisation's data resource? Can you readily find and easily access the data you need to support your business activities? If you find multiple sets of the same data, can you readily determine which is the most current and correct? No? Then consi…der this book essential reading. It will help you develop a high quality data resource that supports business needs. The book explains how a data resource goes disparate, how to stop that trend toward disparity, and how to develop a high quality, comparate data resource. It explains how to stop the costly business impacts of disparate data. It explains both the architectural and the cultural aspects of developing a comparate data resource. It explains how to manage data as a critical resource equivalent to the other critical resources of an organisation -- finances, human resource, and real property.Drawing from his nearly five decades of data management experience, plus his leveraging of theories, concepts, principles, and techniques from disciplines as diverse as human dynamics, mathematics, physics, agriculture, chemistry, and biology, Michael Brackett shows how you can transform your organisation's data resource into a trusted invaluable companion for both business and data management professionals. Chapter 1 reviews the trend toward rampant data resource disparity that exists in most public and private sector organisations today -- why the data resource becomes complex. Chapter 2 introduces the basic concepts of planned data resource comparity -- how to make the data resource elegant and simple. Chapter 3 presents the concepts, principles, and techniques of a Common Data Architecture within which all data in the organisation are understood and managed. Chapters 4 to 8 present the five architectural aspects of data resource management. Chapter 4 explains the development of formal data names. Chapter 5 explains the development of comprehensive data definitions. Chapter 6 explains the development of proper data structures.Chapter 7 explains the development of precise data integrity rules. Chapter 8 explains the management of robust data documentation. Chapters 9 through 13 present the five cultural aspects of data resource management. Chapter 14 presents a summary explaining that development of a comparate data resource is a cultural choice of the organisation and the need for a formal data resource management profession. Explains how a data resource goes disparate, how to stop that trend toward disparity, and how to develop a high quality, comparate data resource. This title shows how to stop the costly business impacts of disparate data. It also explains both the architectural and the cultural aspects of developing a comparate data resource. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Do you fully understand all the data in your organization's data resource Can you readily find and easily access the data you need to support your business activities If you find multiple sets of the same data, can you readily deter…mine which is the most current and correct No Then consider this book essential reading. It will help you develop a high quality data resource that supports business needs.Data Resource Simplexity explains how a data resource goes disparate, how to stop that trend toward disparity, and how to develop a high quality, comparate data resource. It explains how to stop the costly business impacts of disparate data. It explains both the architectural and the cultural aspects of developing a comparate data resource. It explains how to manage data as a critical resource equivalent to the other critical resources of an organization-finances, human resource, and real property. Drawing from his nearly five decades of data management experience, plus his leveraging of theories, concepts, principles, and techniques from disciplines as diverse as human dynamics, mathematics, physics, agriculture, chemistry, and biology, Michael Brackett shows how you can transform your organization's data resource into a trusted invaluable companion for both business and data management professionals. Chapter 1 reviews the trend toward rampant data resource disparity that exists in most public and private sector organizations today-why the data resource becomes complex. Chapter 2 introduces the basic concepts of planned data resource comparity-how to make the data resource elegant and simple. Chapter 3 presents the concepts, principles, and techniques of a Common Data Architecture within which all data in the organization are understood and managed. Chapters 4 through 8 present the five architectural aspects of data resource management. Chapter 4 explains the development of formal data names. Chapter 5 explains the development of comprehensive data definitions. Chapter 6 explains the development of proper data structures. Chapter 7 explains the development of precise data integrity rules. Chapter 8 explains the management of robust data documentation. Chapters 9 through 13 present the five cultural aspects of data resource management. Chapter 9 explains the development of a reasonable orientation for the data resource. Chapter 10 explains acceptable data availability to the business. Chapter 11 explains adequate data responsibility for the data resource. Chapter 12 explains an expanded data vision for managing the data resource. Chapter 13 explains how to achieve appropriate data recognition. Chapter 14 presents a summary explaining that development of a comparate data resource is a cultural choice of the organization and the need for a formal data resource management profession. 638 pp. Englisch.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnDo you fully understand all the data in your organization s data resource? Can you readily find and easily access the data you need to support your business activities? If you find multiple sets of the…same data, can you readily d.
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Do you fully understand all the data in your organization's data resource Can you readily find and easily access the data you need to support your business activities If you find multiple sets of the same data, can you readily determine… which is the most current and correct No Then consider this book essential reading. It will help you develop a high quality data resource that supports business needs.Data Resource Simplexity explains how a data resource goes disparate, how to stop that trend toward disparity, and how to develop a high quality, comparate data resource. It explains how to stop the costly business impacts of disparate data. It explains both the architectural and the cultural aspects of developing a comparate data resource. It explains how to manage data as a critical resource equivalent to the other critical resources of an organizationfinances, human resource, and real property.Drawing from his nearly five decades of data management experience, plus his leveraging of theories, concepts, principles, and techniques from disciplines as diverse as human dynamics, mathematics, physics, agriculture, chemistry, and biology, Michael Brackett shows how you can transform your organization's data resource into a trusted invaluable companion for both business and data management professionals.Chapter 1 reviews the trend toward rampant data resource disparity that exists in most public and private sector organizations todaywhy the data resource becomes complex. Chapter 2 introduces the basic concepts of planned data resource comparityhow to make the data resource elegant and simple. Chapter 3 presents the concepts, principles, and techniques of a Common Data Architecture within which all data in the organization are understood and managed.Chapters 4 through 8 present the five architectural aspects of data resource management. Chapter 4 explains the development of formal data names. Chapter 5 explains the development of comprehensive data definitions. Chapter 6 explains the development of proper data structures. Chapter 7 explains the development of precise data integrity rules. Chapter 8 explains the management of robust data documentation.Chapters 9 through 13 present the five cultural aspects of data resource management. Chapter 9 explains the development of a reasonable orientation for the data resource. Chapter 10 explains acceptable data availability to the business. Chapter 11 explains adequate data responsibility for the data resource. Chapter 12 explains an expanded data vision for managing the data resource. Chapter 13 explains how to achieve appropriate data recognition.Chapter 14 presents a summary explaining that development of a comparate data resource is a cultural choice of the organization and the need for a formal data resource management profession.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 638 pp. Englisch.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Do you fully understand all the data in your organization's data resource Can you readily find and easily access the data you need to support your business activities If you find multiple sets of the same data, can you readily determine…which is the most current and correct No Then consider this book essential reading. It will help you develop a high quality data resource that supports business needs.Data Resource Simplexity explains how a data resource goes disparate, how to stop that trend toward disparity, and how to develop a high quality, comparate data resource. It explains how to stop the costly business impacts of disparate data. It explains both the architectural and the cultural aspects of developing a comparate data resource. It explains how to manage data as a critical resource equivalent to the other critical resources of an organizationfinances, human resource, and real property.Drawing from his nearly five decades of data management experience, plus his leveraging of theories, concepts, principles, and techniques from disciplines as diverse as human dynamics, mathematics, physics, agriculture, chemistry, and biology, Michael Brackett shows how you can transform your organization's data resource into a trusted invaluable companion for both business and data management professionals.Chapter 1 reviews the trend toward rampant data resource disparity that exists in most public and private sector organizations todaywhy the data resource becomes complex. Chapter 2 introduces the basic concepts of planned data resource comparityhow to make the data resource elegant and simple. Chapter 3 presents the concepts, principles, and techniques of a Common Data Architecture within which all data in the organization are understood and managed.Chapters 4 through 8 present the five architectural aspects of data resource management. Chapter 4 explains the development of formal data names. Chapter 5 explains the development of comprehensive data definitions. Chapter 6 explains the development of proper data structures. Chapter 7 explains the development of precise data integrity rules. Chapter 8 explains the management of robust data documentation.Chapters 9 through 13 present the five cultural aspects of data resource management. Chapter 9 explains the development of a reasonable orientation for the data resource. Chapter 10 explains acceptable data availability to the business. Chapter 11 explains adequate data responsibility for the data resource. Chapter 12 explains an expanded data vision for managing the data resource. Chapter 13 explains how to achieve appropriate data recognition.Chapter 14 presents a summary explaining that development of a comparate data resource is a cultural choice of the organization and the need for a formal data resource management profession.
