Data Integrity And Quality


Data Integrity And Quality
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Data Integrity And Quality


Data Integrity And Quality
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Author : Santhosh Kumar Balan
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-06-23

Data Integrity And Quality written by Santhosh Kumar Balan 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 2021-06-23 with Computers categories.


Data integrity is the quality, reliability, trustworthiness, and completeness of a data set, providing accuracy, consistency, and context. Data quality refers to the state of qualitative or quantitative pieces of information. Over five sections, this book discusses data integrity and data quality as well as their applications in various fields.



Data Integrity And Compliance


Data Integrity And Compliance
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Author : José Rodríguez-Pérez
language : en
Publisher: Quality Press
Release Date : 2019-05-08

Data Integrity And Compliance written by José Rodríguez-Pérez and has been published by Quality Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-08 with Business & Economics categories.


Data integrity is a global mandatory requirement for the regulated healthcare industry. It is more than a mere expectation-it's a basic element of good documentation practices, one of the most fundamental pillars of a quality management system. Robustness and accuracy of the data submitted by manufacturers to regulatory authorities when bringing a medical product to market are crucial. The purpose of this book is to consolidate existing data integrity principles and expectations from several regulatory sources-including the U.S. Food and Drug Administration, World Health Organization, and European Medicines Agency-into a single and handy document that provides detailed, illustrative implementation guidance. It serves as a means of understanding regulatory agencies' position on good data management and the minimum expectation for how medical product manufacturers can achieve compliance.



Digital Data Integrity


Digital Data Integrity
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Author : David B Little
language : en
Publisher: John Wiley & Sons
Release Date : 2007-04-04

Digital Data Integrity written by David B Little 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 2007-04-04 with Technology & Engineering categories.


How to plan your future strategy for efficient, cost-saving data management Businesses have historically treated data protection as an afterthought, as simply making an occasional copy of data that could be used in the future. Today, this attitude is changing rapidly. The ever-increasing amount of data, along with the emphasis on continuous availability, necessitates changes in the approach to data integrity, which results in management and protection becoming much more closely aligned. Digital Data Integrity throws light on the data integrity landscape of the future. It provides the reader with a brief overview of the historical methods and subsequent evolution of data protection. The text shows how the whole subject of data integrity is changing and describes and positions many of the new, enhanced, more intelligent protection technologies and methods. Digital Data Integrity: Takes a unique, forward look at data protection and management, highlighting the paradigm shift from simple backup and recovery to total data management. Details recent developments in compliance regulations in an accessible manner. Covers enhanced protection technologies such as advanced intelligent synthetic backups, data reduction methods, and data growth – online protection using continuous data protection. Explains data life cycle management and data storage, using management, quality of service products and tools to achieve better data management, intelligent allocation of storage, and compliance with regulations. Contains information on quality control, looking at SLA (Service Level Agreements), protection by business unit and billing/charge back. Unique insight into hot topics such as next generation bare metal recovery and true system provisioning. This invaluable text will provide system administrators, and database administrators, as well as senior IT managers and decision makers with a thorough understanding of data management and protection. With contributions from Ray Schafer and Paul Mayer.



Data Integrity Solutions


Data Integrity Solutions
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Author : Kenneth R. Graham
language : en
Publisher: Bookbaby
Release Date : 2017-05-31

Data Integrity Solutions written by Kenneth R. Graham and has been published by Bookbaby this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-31 with Business & Economics categories.


A Delusional Technology Syndrome (Chapter 1) has facilitated the manifestation of Digital Data Disorders (Chapter 2) that are impacting our lives in very negative ways and thus driving the need for an Information Integrity Imperative for the twenty first century (Chapter 3). There is a new way forward and a new day to prosper that I will cover in the Road to Recovery (Chapter 4). I hope you will gain insight from reading this book and will share your insights with others. I am also confident we the people will establish the appropriate levels of commitment to ensure the information stored and manipulated in thousands of technology systems, that have a high degree of control over the quality of our lives, represent reality in a truthful and fair way. We have not lost our trust in America, nor our form of government, nor our way of life. Maybe we have lost trust in most corporations and politicians who avoid transparency. However, we have not lost trust in the American people, who created the most innovative nation on the face of the planet. I am certain the American people will meet the challenge of Data Integrity and make our nation and the world an even better place for all the digital citizens living in the digital age.



Managing Data Integrity For Finance


Managing Data Integrity For Finance
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Author : Jane Sarah Lat
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-01-31

Managing Data Integrity For Finance written by Jane Sarah Lat and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Computers categories.


Level up your career by learning best practices for managing the data quality and integrity of your financial data Key Features Accelerate data integrity management using artificial intelligence-powered solutions Learn how business intelligence tools, ledger databases, and database locks solve data integrity issues Find out how to detect fraudulent transactions affecting financial report integrity Book DescriptionData integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.What you will learn Develop a customized financial data quality scorecard Utilize business intelligence tools to detect, manage, and resolve data integrity issues Find out how to use managed cloud-based ledger databases for financial data integrity Apply database locking techniques to prevent transaction integrity issues involving finance data Discover the methods to detect fraudulent transactions affecting financial report integrity Use artificial intelligence-powered solutions to resolve various data integrity issues and challenges Who this book is for This book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it’ll help you grasp the more advanced topics covered in this book.



Performance Assurance And Data Integrity Practices


Performance Assurance And Data Integrity Practices
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Author : Robert L. Patrick
language : en
Publisher:
Release Date : 1978

Performance Assurance And Data Integrity Practices written by Robert L. Patrick and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Data integrity categories.




Executing Data Quality Projects


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



Executing Data Quality Projects


Executing Data Quality Projects
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Author : Danette McGilvray
language : en
Publisher: Elsevier
Release Date : 2008-09-01

Executing Data Quality Projects written by Danette McGilvray and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-01 with Computers categories.


Information is currency. Recent 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. In this important and timely new book, Danette McGilvray presents her “Ten Steps approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her trademarked approach—in which she has trained Fortune 500 clients and hundreds of workshop attendees—applies to all types of data and to all types of organizations. * Includes numerous templates, detailed examples, and practical advice for executing every step of the “Ten Steps approach. * 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 planning and information-gathering templates featured in the text, quick summaries of key ideas from the Ten Step methodology, and other tools and information available online.



Data Integrity And Data Governance


Data Integrity And Data Governance
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Author : R. D. McDowall
language : en
Publisher: Royal Society of Chemistry
Release Date : 2018-11-09

Data Integrity And Data Governance written by R. D. McDowall and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-09 with Science categories.


This book provides practical and detailed advice on how to implement data governance and data integrity for regulated analytical laboratories working in the pharmaceutical and allied industries.



Data Integrity In Pharmaceutical And Medical Devices Regulation Operations


Data Integrity In Pharmaceutical And Medical Devices Regulation Operations
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Author : Orlando Lopez
language : en
Publisher: CRC Press
Release Date : 2016-11-03

Data Integrity In Pharmaceutical And Medical Devices Regulation Operations written by Orlando Lopez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-03 with Business & Economics categories.


Data integrity is fundamental in a pharmaceutical and medical devices quality system. This book provides practical information to enable compliance with data integrity, while highlighting and efficiently integrating worldwide regulation into the subject. The ideas presented in this book are based on many years’ experience in regulated industries in various computer systems development, maintenance, and quality functions. In addition to case studies, a practical approach will be presented to increase efficiency and to ensure that the design and testing of the data integrity controls are correctly achieved.