Download or read book Data Quality written by Thomas C. Redman and published by Digital Press. This book was released on 2001 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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"

Download or read book Executing Data Quality Projects written by Danette McGilvray and published by Academic Press. This book was released on 2021-05-27 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book The Practitioner s Guide to Data Quality Improvement written by David Loshin and published by Elsevier. This book was released on 2010-11-22 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Quality Fundamentals written by Barr Moses and published by "O'Reilly Media, Inc.". This book was released on 2022-09 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck, from the data observability company Monte Carlo, explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipelines Write scripts to make data checks and identify broken pipelines with data observability Learn how to set and maintain data SLAs, SLIs, and SLOs Develop and lead data quality initiatives at your company Learn how to treat data services and systems with the diligence of production software Automate data lineage graphs across your data ecosystem Build anomaly detectors for your critical data assets

Download or read book Data Quality Improvement A Complete Guide 2019 Edition written by Gerardus Blokdyk and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Quality Improvement A Complete Guide - 2019 Edition.

Download or read book Data Quality Services A Complete Guide 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-19 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: How will sensitive data be handled to ensure it is stored and transferred securely? How long will the data be retained and preserved? Does your organization have a data protection or security policy that you will follow? How does your organization meet the growing demand for data analytics skills? Did you have to modify the data format in order to use the data into your application? This astounding Data Quality Services self-assessment will make you the dependable Data Quality Services domain adviser by revealing just what you need to know to be fluent and ready for any Data Quality Services challenge. How do I reduce the effort in the Data Quality Services work to be done to get problems solved? How can I ensure that plans of action include every Data Quality Services task and that every Data Quality Services outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Quality Services costs are low? How can I deliver tailored Data Quality Services advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Quality Services essentials are covered, from every angle: the Data Quality Services self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Quality Services outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Quality Services practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Quality Services are maximized with professional results. Your purchase includes access details to the Data Quality Services self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Quality Services Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Download or read book Data Quality Requirements Analysis and Modeling written by Y Richard Wang and published by Legare Street Press. This book was released on 2023-07-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide to data quality analysis and modeling is an essential resource for anyone working with data in the modern age. From big data analytics to machine learning, this book covers the latest techniques and best practices for ensuring that your data is accurate, complete, and up-to-date. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Download or read book Data Quality written by Yng-Yuh Richard Wang and published by Springer Science & Business Media. This book was released on 2001 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Quality a Complete Guide 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-12-21 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are source documents kept and made available in accordance with a written policy? What is the proportion of duplicate records on the data file extract? Are quality controls in place for when data from paper-based forms are entered into a computer (e.g., double entry, post-data entry verification)? What are the characteristics of an enterprise data quality tool that can handle product and customer data? Can you get full access to the data that you would like to use? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data Quality investments work better. This Data Quality All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Quality Self-Assessment. Featuring 987 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Quality improvements can be made. In using the questions you will be better able to: - diagnose Data Quality projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data Quality and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Quality Scorecard, you will develop a clear picture of which Data Quality areas need attention. Your purchase includes access details to the Data Quality self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Quality Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Download or read book Data Quality Improvement A Complete Guide 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-08-18 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you verify if Data Quality Improvement is built right? What methods do you use to gather Data Quality Improvement data? What are your needs in relation to Data Quality Improvement skills, labor, equipment, and markets? What business benefits will Data Quality Improvement goals deliver if achieved? Risk factors: what are the characteristics of Data Quality Improvement that make it risky? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data Quality Improvement investments work better. This Data Quality Improvement All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Quality Improvement Self-Assessment. Featuring 942 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Quality Improvement improvements can be made. In using the questions you will be better able to: - diagnose Data Quality Improvement projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data Quality Improvement and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Quality Improvement Scorecard, you will develop a clear picture of which Data Quality Improvement areas need attention. Your purchase includes access details to the Data Quality Improvement self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Quality Improvement Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Download or read book Data Quality Tools a Complete Guide 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-03-18 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why is data quality necessary? Does your data governance organization have a communications plan? audit samples? Where is bad data design reflected in the real world? Are you Working with cloud applications? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are you really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data quality tools investments work better. This Data quality tools All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data quality tools Self-Assessment. Featuring 488 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data quality tools improvements can be made. In using the questions you will be better able to: - diagnose Data quality tools projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data quality tools and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data quality tools Scorecard, you will develop a clear picture of which Data quality tools areas need attention. Your purchase includes access details to the Data quality tools self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data quality tools Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Download or read book Data Quality Strategies A Complete Guide 2020 Edition written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Quality Services A Complete Guide 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-09-30 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Could training be carried out by your organization or would outside help be needed? Do you have sufficient storage or will you need to include charges for additional services? What are you hearing about Internal Audit Data Analytics? Where is your reference data stored? What is a reference data service? This powerful Data Quality Services self-assessment will make you the assured Data Quality Services domain assessor by revealing just what you need to know to be fluent and ready for any Data Quality Services challenge. How do I reduce the effort in the Data Quality Services work to be done to get problems solved? How can I ensure that plans of action include every Data Quality Services task and that every Data Quality Services outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Quality Services costs are low? How can I deliver tailored Data Quality Services advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Quality Services essentials are covered, from every angle: the Data Quality Services self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Quality Services outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Quality Services practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Quality Services are maximized with professional results. Your purchase includes access details to the Data Quality Services self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Quality Services Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Download or read book Managing Data Quality written by Tim King and published by BCS, The Chartered Institute for IT. This book was released on 2020-04-27 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61. Examples of good practice in data quality management are also included.

Download or read book Data Analytics A Complete Guide 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-13 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: What does data analytics look like in other industries today? How likely is it that a particular approach will enable the solution to achieve your performance objectives for all workloads, current and anticipated, as requirements evolve? What % of reported events create incorrect outage predictions (due to data quality, timing or other issues)? What role does Industrial Data Analytics play in your organization? What kinds of work has been done on data analytics so far? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data analytics investments work better. This Data analytics All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data analytics Self-Assessment. Featuring 997 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data analytics improvements can be made. In using the questions you will be better able to: - diagnose Data analytics projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data analytics and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data analytics Scorecard, you will develop a clear picture of which Data analytics areas need attention. Your purchase includes access details to the Data analytics self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data analytics Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Download or read book Big Data Quality A Complete Guide 2020 Edition written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Quality Assurance A Complete Guide 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2020-01-10 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: How adequate are any data quality assurance procedures and data validation that were followed? What is a Data Quality Assurance Plan? Is your process for data quality assurance proactive or reactive? Why is data quality assurance so important for your organization? What is big data quality assurance? This easy Data Quality Assurance self-assessment will make you the principal Data Quality Assurance domain assessor by revealing just what you need to know to be fluent and ready for any Data Quality Assurance challenge. How do I reduce the effort in the Data Quality Assurance work to be done to get problems solved? How can I ensure that plans of action include every Data Quality Assurance task and that every Data Quality Assurance outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Quality Assurance costs are low? How can I deliver tailored Data Quality Assurance advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Quality Assurance essentials are covered, from every angle: the Data Quality Assurance self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Quality Assurance outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Quality Assurance practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Quality Assurance are maximized with professional results. Your purchase includes access details to the Data Quality Assurance self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Quality Assurance Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.