The Practitioner S Guide To Data Quality Improvement
DOWNLOAD
Download The Practitioner S Guide To Data Quality Improvement PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Practitioner S Guide To Data Quality Improvement book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
The Practitioner S Guide To Data Quality Improvement
DOWNLOAD
Author : David Loshin
language : en
Publisher: Elsevier
Release Date : 2010-11-22
The Practitioner S Guide To Data Quality Improvement written by David Loshin and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-22 with Computers categories.
The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.
The Practitioner S Guide To Data Quality Improvement
DOWNLOAD
Author : D. Loshin
language : en
Publisher:
Release Date : 2013
The Practitioner S Guide To Data Quality Improvement written by D. Loshin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Mclaughlin Kaluzny S Continuous Quality Improvement In Health Care
DOWNLOAD
Author : Julie K. Johnson
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2018-10-05
Mclaughlin Kaluzny S Continuous Quality Improvement In Health Care written by Julie K. Johnson and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-05 with Health & Fitness categories.
Through a unique interdisciplinary perspective on quality management in health care, this text covers the subjects of operations management, organizational behavior, and health services research. With a particular focus on Total Quality Management (TQM) and Continuous Quality Improvement (CQI), the challenges of implementation and institutionalization are addressed using examples from a variety of health care organizations, including primary care clinics, hospital laboratories, public health departments, and academic health centers. Significantly revised throughout, the Fifth Edition offers a greater focus on application techniques, and features 14 chapters in lieu of the prior edition's 20 chapters, making it an even more effective teaching tool. New chapters have been incorporated on Implementation Science (3), Lean Six Sigma (6), and Classification and the Reduction of Medical Errors (10).
Building Capacity For Health Informatics In The Future
DOWNLOAD
Author : F. Lau
language : en
Publisher: IOS Press
Release Date : 2017-03
Building Capacity For Health Informatics In The Future written by F. Lau and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03 with Medical categories.
Health information technologies are revolutionizing and streamlining healthcare, and uptake continues to rise dramatically. If these technologies are to be effectively implemented, capacity must be built at a regional, national and global level, and the support and involvement of both government and industry will be vital. This book presents the proceedings of the 2017 Information Technology and Communications in Health conference (ITCH 2017), held in Victoria, BC, Canada, in February 2017. The conference considers, from a variety of perspectives, what is required to move the technology forward to real, sustained and widespread use, and the solutions examined range from improvements in usability and training to the need for new and improved design of information systems, user interfaces and interoperable solutions. Government policies, mandates, initiatives and the need for regulation are also explored, as is the requirement for improved interaction between industrial, governmental and academic partners. With its focus on building the next generation of health informatics and the capacity required to deliver better healthcare worldwide, this book will be of interest to all those involved in the provision of healthcare.
Data Quality Management In The Data Age
DOWNLOAD
Author : Haiyan Yu
language : en
Publisher: Springer Nature
Release Date : 2024-10-29
Data Quality Management In The Data Age written by Haiyan Yu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Computers categories.
This book addresses data quality management for data markets, including foundational quality issues in modern data science. By clarifying the concept of data quality, its impact on real-world applications, and the challenges stemming from poor data quality, it will equip data scientists and engineers with advanced skills in data quality management, with a particular focus on applications within data markets. This will help them create an environment that encourages potential data sellers with high-quality data to join the market, ultimately leading to an improvement in overall data quality. High-quality data, as a novel factor of production, has assumed a pivotal role in driving digital economic development. The acquisition of such data is particularly important for contemporary decision-making models. Data markets facilitate the procurement of high-quality data and thereby enhance the data supply. Consequently, potential data sellers with high-quality data are incentivized to enter the market, an aspect that is particularly relevant in data-scarce domains such as personalized medicine and services. Data scientists have a pivotal role to play in both the intellectual vitality and the practical utility of high-quality data. Moreover, data quality control presents opportunities for data scientists to engage with less structured or ambiguous problems. The book will foster fruitful discussions on the contributions that various scientists and engineers can make to data quality and the further evolution of data markets.
Data Management A Gentle Introduction
DOWNLOAD
Author : Bas van Gils
language : en
Publisher: Van Haren
Release Date : 2020-03-03
Data Management A Gentle Introduction written by Bas van Gils and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Architecture categories.
The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1. To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments. 2. To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field. The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc. Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts. The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the chapters are as short and to the point as possible and also make a clear distinction between the main text and the examples. If the reader is already familiar with the topic of a chapter, he/she can easily skip it and move on to the next.
Data Quality
DOWNLOAD
Author : Rupa Mahanti
language : en
Publisher: Quality Press
Release Date : 2019-03-18
Data Quality written by Rupa Mahanti and has been published by Quality Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-18 with Computers categories.
Good data is a source of myriad opportunities, while bad data is a tremendous burden. Companies that manage their data effectively are able to achieve a competitive advantage in the marketplace, while bad data, like cancer, can weaken and kill an organization. In this comprehensive book, Rupa Mahanti provides guidance on the different aspects of data quality with the aim to be able to improve data quality. Specifically, the book addresses: Causes of bad data quality, bad data quality impacts, and importance of data quality to justify the case for data quality Butterfly effect of data quality A detailed description of data quality dimensions and their measurement Data quality strategy approach Six Sigma - DMAIC approach to data quality Data quality management techniques Data quality in relation to data initiatives like data migration, MDM, data governance, etc. Data quality myths, challenges, and critical success factors Students, academicians, professionals, and researchers can all use the content in this book to further their knowledge and get guidance on their own specific projects. It balances technical details (for example, SQL statements, relational database components, data quality dimensions measurements) and higher-level qualitative discussions (cost of data quality, data quality strategy, data quality maturity, the case made for data quality, and so on) with case studies, illustrations, and real-world examples throughout. About the Author Rupa Mahanti, Ph.D. is a Business and Information Management consultant and has worked in different solution environments and industry sectors in the United States, United Kingdom, India, and Australia. She helps clients with activities such as business process mapping, information management, data quality, and strategy. Having a work experience (academic, industry, and research) of more than a decade and half, Rupa has guided a doctoral dissertation and published a large number of research articles. She is an associate editor with the journal Software Quality Professional and a reviewer for several international journals. "This is not the kind of book that you'll read one time and be done with. So scan it quickly the first time through to get an idea of its breadth. Then dig in on one topic of special importance to your work. Finally, use it as a reference to guide your next steps, learn details, and broaden your perspective." from the foreword by Thomas C. Redman, Ph.D., the Data Doc Dr. Mahanti provides a very detailed and thorough coverage of all aspects of data quality management that would suit all ranges of expertise from a beginner to an advanced practitioner. With plenty of examples, diagrams, etc. the book is easy to follow and will deepen your knowledge in the data domain. I will certainly keep this handy as my go-to reference. I can't imagine the level of effort and passion that Dr. Mahanti has put into this book that captures so much knowledge and experience for the benefit of the reader. I would highly recommend this book for its comprehensiveness, depth, and detail. A must-have for a data practitioner at any level. Clint D'Souza, CEO and Director, CDZM Consulting
Information Governance And Assurance
DOWNLOAD
Author : Alan MacLennan
language : en
Publisher: Facet Publishing
Release Date : 18-06-14
Information Governance And Assurance written by Alan MacLennan and has been published by Facet Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 18-06-14 with Business & Economics categories.
This comprehensive textbook discusses the legal, organizational and ethical aspects of information governance, assurance and security and their relevance to all aspects of information work. Information governance describes the activities and practices which have developed to control the use of information, including, but not limited to, practices mandated by law. In a world in which information is increasingly seen as a top-level asset, the safeguarding and management of information is of concern to everyone. From the researcher who is responsible for ethical practices in the gathering, analysis, and storage of data, to the reference librarian who must deliver unbiased information; from the records manager who must respond to information requests, to the administrator handling personnel files, this book with equip practitioners and students alike to implement good information governance practice in real-world situations. Key topics covered include: - Information as an asset - The laws and regulations - Data quality management - Dealing with threats - Security, risk management and business continuity - Frameworks, policies, ethics and how it all fits together. Readership: Fully supported by examples, discussion points and practical exercises, this is essential reading for everyone who needs to understand, implement and support information assurance policies and information governance structures. It will be particularly valuable for LIS students taking information management and information governance courses, and information professionals with an advisory or gatekeeping role in information governance within an organization.
Proceedings Of Data Analytics And Management
DOWNLOAD
Author : Abhishek Swaroop
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
Proceedings Of Data Analytics And Management written by Abhishek Swaroop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2024), held at London Metropolitan University, London, UK, during June 2024. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into six volumes.
Responsible Analytics And Data Mining In Education
DOWNLOAD
Author : Badrul H. Khan
language : en
Publisher: Routledge
Release Date : 2018-12-07
Responsible Analytics And Data Mining In Education written by Badrul H. Khan and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Computers categories.
Winner of two Outstanding Book Awards from the Association of Educational Communications and Technology (Culture, Learning, & Technology and Systems Thinking & Change divisions)! Rapid advancements in our ability to collect, process, and analyze massive amounts of data along with the widespread use of online and blended learning platforms have enabled educators at all levels to gain new insights into how people learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging forms of educational data analysis. Chapter authors from around the world explore how data analytics can be used to improve course and program quality; how the data and its interpretations may inadvertently impact students, faculty, and institutions; the quality and reliability of data, as well as the accuracy of data-based decisions; ethical implications surrounding the collection, distribution, and use of student-generated data; and more. This volume unpacks and explores this complex issue through a systematic framework whose dimensions address the issues that must be considered before implementation of a new initiative or program.