Data Resource Data

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Data Resource Understanding

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Author : Michael H. Brackett
language : en
Publisher:
Release Date : 2015

Data Resource Understanding written by Michael H. Brackett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with BUSINESS & ECONOMICS categories.

Data Resource Understanding

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Author : Michael Brackett
language : en
Publisher:
Release Date : 2015-01-31

Data Resource Understanding written by Michael Brackett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-31 with Computers categories.

Data Resource Understanding is the companion book to Data Resource Data. It provides a detailed explanation of how to thoroughly understand an organization's data resource and to document that understanding with Data Resource Data.

Data Resource Data

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Author : Michael H. Brackett
language : en
Publisher:
Release Date : 2014-08

Data Resource Data written by Michael H. Brackett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08 with Computers categories.

Are you struggling to gain a thorough understanding of your organization's data resource? Are you finding that your data resource has become quite disparate through lack of understanding? Are you having difficulty developing meaningful meta-data about your data resource, or understanding the meta-data that have been developed? Do you agonize over finding a way to document your data resource that is thorough, understandable, and readily available? If the answer to any of these questions is Yes, then you need to read Data Resource Data to help you understand your organization's data resource. Most public and private sector organizations do not have a formal process for thoroughly documenting the entire data resource at their disposal, in any meaningful manner, that is readily available to everyone in the organization. Most do not even have a formal design for that documentation. The much abused, misused, misspelled, undefined, and incomplete meta-data are not providing a denotative understanding of the organization's data resource, without which a high quality data resource cannot be developed. Data Resource Data provides the complete detailed data resource model for understanding and managing data as a critical resource of the organization. The model presents formal data resource data as a replacement for the relatively ineffective meta-data. It provides an excellent example of a formal data resource model, compared to a traditional data model, that can be easily implemented by any organization. The use of data resource data ensures a thorough understanding of an organization's data resource and the development of a high quality comparate data resource. Like Data Resource Simplexity, Data Resource Integration, and Data Resource Design, Michael Brackett draws on five decades of data management experience, in a wide variety of different public and private sector organizations, to understand and document an organization's data resource. He leverages theories, concepts, principles, and techniques from many different and varied disciplines, such as human dynamics, mathematics, physics, chemistry, philosophy, and biology, and applies them to the process of formally documenting an organization's data resource.

Data Resource Management

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Author :
language : en
Publisher:
Release Date : 1992

Data Resource Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Database management categories.

Data Resource Guide

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Author : Michael H. Brackett
language : en
Publisher:
Release Date : 2016

Data Resource Guide written by Michael H. Brackett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Computers categories.

Data Resource Data provided the complete data resource model for an organization's Data Resource Data.

Data Resource Integration

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Author : Michael H. Brackett
language : en
Publisher:
Release Date : 2012-05

Data Resource Integration written by Michael H. Brackett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05 with Computers categories.

Are you struggling with a disparate data resource? Are there multiple existences of the same business fact scattered throughout the data resource? Are those multiple existences out of synch with each other? Do you have difficulty finding the data you need to support business activities? Do the data you find have poor quality? If the answer to any of these questions is Yes, then you need this book to guide you toward creating an integrated data resource. Most public and private sector organizations have a disparate data resource that was created over many years. That disparate data resource contains multiple existences of business facts that are out of synch with each other, are of poor quality, and are difficult to locate. The traditional approach to dealing with a disparate data resource is to perform periodic and temporary data integration to support a specific application or business activity. Those piecemeal data integration efforts may meet a current need, but seldom solve the underlying problems with a disparate data resource, and sometimes make the situation worse. Data Resource Integration explains how to go about understanding and resolving a disparate data resource and creating a comparate data resource that fully meets an organization’s current and future business information demand. It builds on Data Resource Simplexity, which described how to stop the burgeoning data disparity. It explains the concepts, principles, and techniques for understanding a disparate data resource within the context of a common data architecture, and resolving that disparity with minimum impact on the business. Like Data Resource Simplexity, Michael Brackett draws on five decades of data management experience building and managing data resources, and resolving disparate data resources in both public and private sector organizations. He leverages theories, concepts, principles, and techniques from a wide variety of disciplines, such as human dynamics, mathematics, physics, chemistry, and biology, and applies them to the process of understanding and resolving a disparate data resource. He shows you how to approach and resolve a disparate data resource, and build a comparate data resource that fully supports the business.

Data Resource Simplexity

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Author : Michael H. Brackett
language : en
Publisher:
Release Date : 2011

Data Resource Simplexity written by Michael H. Brackett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Database design categories.

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 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 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. From the Fore...

The Data Model Resource Book Volume 1

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Author : Len Silverston
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-08

The Data Model Resource Book Volume 1 written by Len Silverston and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-08 with Computers categories.

A quick and reliable way to build proven databases for core business functions Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost-effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful 1st Edition, while adding a companion volume to take care of more specific requirements of different businesses. This updated volume provides a common set of data models for specific core functions shared by most businesses like human resources management, accounting, and project management. These models are standardized and are easily replicated by developers looking for ways to make corporate database development more efficient and cost effective. This guide is the perfect complement to The Data Model Resource CD-ROM, which is sold separately and provides the powerful design templates discussed in the book in a ready-to-use electronic format. A free demonstration CD-ROM is available with each copy of the print book to allow you to try before you buy the full CD-ROM.

Managing The Data Resource Function

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Author :
language : en
Publisher:
Release Date : 1982

Managing The Data Resource Function written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with categories.

Developing A Protocol For Observational Comparative Effectiveness Research A User S Guide

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Author : Agency for Health Care Research and Quality (U.S.)
language : en
Publisher: Government Printing Office
Release Date : 2013-02-21

Developing A Protocol For Observational Comparative Effectiveness Research A User S Guide written by Agency for Health Care Research and Quality (U.S.) and has been published by Government Printing Office this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-21 with Medical categories.

This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)