Data Resource Quality
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Data Resource Quality
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Author : Michael H. Brackett
language : en
Publisher: Addison-Wesley Professional
Release Date : 2000
Data Resource Quality written by Michael H. Brackett and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
"Covering both data architecture and data management issues, the book describes the impact of poor data practices, demonstrates more effective approaches, and reveals implementation pointers for quick results."--Jacket.
Management Of Data Quality In Enterprise Resource Planning Systems
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Author : Michael Röthlin
language : en
Publisher: BoD – Books on Demand
Release Date : 2010
Management Of Data Quality In Enterprise Resource Planning Systems written by Michael Röthlin and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business & Economics categories.
Originally presented as the author's thesis (doctoral)--Universiteat Bern, 2010.
Advanced Topics In Information Resources Management Volume 1
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Author : Khosrow-Pour, D.B.A., Mehdi
language : en
Publisher: IGI Global
Release Date : 2001-07-01
Advanced Topics In Information Resources Management Volume 1 written by Khosrow-Pour, D.B.A., Mehdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-07-01 with Business & Economics categories.
Advanced Topics in Information Resources Management features the latest research findings dealing with all aspects of information resources management, managerial and organizational applications, as well as implications of information technology organizations. It aims to be instrumental in the improvement and development of the theory and practice of information resources management, appealing to both practicing managers and academics.
Executing Data Quality Projects
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Author : Danette McGilvray
language : en
Publisher: Academic Press
Release Date : 2021-05-27
Executing Data Quality Projects written by Danette McGilvray and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Computers categories.
Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online
Proceedings Of The 2025 11th International Conference On Humanities And Social Science Research Ichssr 2025
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Author : Bootheina Majoul
language : en
Publisher: Springer Nature
Release Date : 2025-08-10
Proceedings Of The 2025 11th International Conference On Humanities And Social Science Research Ichssr 2025 written by Bootheina Majoul and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-10 with Education categories.
This is an open access book. Review: ICHSSR was established in 2015, and the past five sessions have all been successfully published and indexed by CPCI & CNKI. The purpose of ICHSSR 2015-2024 is to provide a platform for innovative academics and industry experts in the field of Humanities and Social Science Research to collaborate. We achieved our primary objective which is to promote research and development activities in humanities research and social science, while also facilitating scientific information exchange among researchers, developers, engineers, students, and practitioners worldwide. Aims: The 11th International Conference on Humanities and Social Science Research (ICHSSR 2025), scheduled for April 25-27, 2025 in Beijing, China, aims to convene distinguished academics and industry experts from various disciplines within the field of Humanities and Social Science Research. The conference will serve as a platform for comprehensive discussions and studies encompassing EDUCATION, SOCIAL SCIENCES AND HUMANITIES, INTERDISCIPLINARY STUDIES, and other related fields. ICHSSR 2025 also endeavors to provide an avenue for experts, scholars, engineers, technicians, and R&D personnel to exchange scientific research achievements and cutting-edge technologies while gaining insights into academic development trends. Furthermore, it seeks to foster the expansion of research ideas through robust academic discourse and facilitate the industrialization cooperation of scholarly accomplishments. We cordially invite professionals from universities, domestic or international scientific research institutions along with business individuals to actively participate in this esteemed event. With its annual recurrence established as an ideal platform for knowledge sharing across EDUCATION , SOCIAL SCIENCES AND HUMANITIES, and INTERDISCIPLINARY STUDIES domains among others; we wholeheartedly welcome colleagues worldwide to join us at this momentous conference held in Beijing.
Understanding Information Retrieval Systems
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Author : Marcia J. Bates
language : en
Publisher: CRC Press
Release Date : 2011-12-20
Understanding Information Retrieval Systems written by Marcia J. Bates and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-20 with Business & Economics categories.
In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 typ
Data Quality
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Author : Thomas C. Redman
language : en
Publisher: Digital Press
Release Date : 2001-01-11
Data Quality written by Thomas C. Redman and has been published by Digital Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-11 with Computers categories.
Can any subject inspire less excitement than "data quality"? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality. Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, describes the most important data quality problems facing the typical organization, and outlines what an organization must do to improve. It consists of 36 short chapters in an easy-to-use field guide format. Each chapter describes a single issue and how to address it. The book begins with sections that describe why leaders, whether CIOs, CFOs, or CEOs, should be concerned with data quality. It explains the pros and cons of approaches for addressing the issue. It explains what those organizations with the best data do. And it lays bare the social issues that prevent organizations from making headway. "Field tips" at the end of each chapter summarize the most important points. Allows readers to go directly to the topic of interest Provides web-based material so readers can cut and paste figures and tables into documents within their organizations Gives step-by-step instructions for applying most techniques and summarizes what "works"
Journey To Data Quality
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Author : Yang W. Lee
language : en
Publisher: MIT Press (MA)
Release Date : 2006
Journey To Data Quality written by Yang W. Lee and has been published by MIT Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level--installing the latest software or developing an expensive data warehouse--solve the basic problem of bad data quality practices. Journey to Data Qualityoffers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.
Data Quality
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Author : Yng-Yuh Richard Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2001
Data Quality written by Yng-Yuh Richard Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.
Data Quality provides an exposé of research and practice in the data quality field for technically oriented readers. It is based on the research conducted at the MIT Total Data Quality Management (TDQM) program and work from other leading research institutions. This book is intended primarily for researchers, practitioners, educators and graduate students in the fields of Computer Science, Information Technology, and other interdisciplinary areas. It forms a theoretical foundation that is both rigorous and relevant for dealing with advanced issues related to data quality. Written with the goal to provide an overview of the cumulated research results from the MIT TDQM research perspective as it relates to database research, this book is an excellent introduction to Ph.D. who wish to further pursue their research in the data quality area. It is also an excellent theoretical introduction to IT professionals who wish to gain insight into theoretical results in the technically-oriented data quality area, and apply some of the key concepts to their practice.
Resource Quality And Recruitment Of Tree Species In Plantation Forests Of Southwestern Michigan
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Author : Diane Harlow Burbank
language : en
Publisher:
Release Date : 1991
Resource Quality And Recruitment Of Tree Species In Plantation Forests Of Southwestern Michigan written by Diane Harlow Burbank and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Forest ecology categories.