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Measuring Data Quality For Ongoing Improvement

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Measuring Data Quality for Ongoing Improvement

Measuring Data Quality for Ongoing Improvement Book
Author : Laura Sebastian-Coleman
Publisher : Newnes
Release : 2012-12-31
ISBN : 0123977541
Language : En, Es, Fr & De

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Book Description :

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges Enables discussions between business and IT with a non-technical vocabulary for data quality measurement Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation

Executing Data Quality Projects

Executing Data Quality Projects Book
Author : Danette McGilvray
Publisher : Academic Press
Release : 2021-05-27
ISBN : 0128180161
Language : En, Es, Fr & De

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Book Description :

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

Business Information Systems

Business Information Systems Book
Author : Witold Abramowicz,Rafael Corchuelo
Publisher : Springer
Release : 2019-07-13
ISBN : 3030204855
Language : En, Es, Fr & De

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Book Description :

The two-volume set LNBIP 353 and 354 constitutes the proceedings of the 22nd International Conference on Business Information Systems, BIS 2019, held in Seville, Spain, in June 2019. The theme of the BIS 2019 was "Data Science for Business Information Systems", inspiring researchers to share theoretical and practical knowledge of the different aspects related to Data Science in enterprises. The 67 papers presented in these proceedings were carefully reviewed and selected from 223 submissions. The contributions were organized in topical sections as follows: Part I: Big Data and Data Science; Artificial Intelligence; ICT Project Management; and Smart Infrastructure. Part II: Social Media and Web-based Systems; and Applications, Evaluations and Experiences.

Data Quality

Data Quality Book
Author : Rupa Mahanti
Publisher : Quality Press
Release : 2019-03-18
ISBN : 0873899776
Language : En, Es, Fr & De

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Book Description :

“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” 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 factorsStudents, 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.

Database and Expert Systems Applications

Database and Expert Systems Applications Book
Author : Sven Hartmann,Josef Küng,Sharma Chakravarthy,Gabriele Anderst-Kotsis,A Min Tjoa,Ismail Khalil
Publisher : Springer
Release : 2019-10-02
ISBN : 3030276155
Language : En, Es, Fr & De

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Book Description :

This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019. The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing. Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services.

Integrating Business Management Processes

Integrating Business Management Processes Book
Author : Titus De Silva
Publisher : CRC Press
Release : 2020-08-19
ISBN : 1000097579
Language : En, Es, Fr & De

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Book Description :

Integrating Business Management Processes: Volume 2: Support and Assurance Processes (978-0-367-48548-1) Shelving Guide: Business & Management The backbone of any organisation is its management system. It must reflect the needs of the organisation and the requirements of its customers. Compliance with legal requirements and ethical environmental practices contributes towards the sustainability of the management system. Whatever the state of maturity of the management, this book, one of three, provides useful guidance to design, implement, maintain and improve its effectiveness. This volume provides a comprehensive coverage of the key support and assurance processes. Topics include document control, communication, marketing, information systems and technology, human resource management, training and development, customer relations management, financial management and measurement and analysis to name a few. This book, with its series of examples and procedures, shows how organisations can benefit from satisfying customer requirement and the requirements of ISO standards to gain entry into lucrative markets. Titus De Silva is a consultant in management skills development, pharmacy practice, quality management and food safety and an advisor to the newly established National Medicines Regulatory Authority (NMRA) in Sri Lanka.

Multisensor Data Fusion

Multisensor Data Fusion Book
Author : Hassen Fourati
Publisher : CRC Press
Release : 2017-12-19
ISBN : 1351830880
Language : En, Es, Fr & De

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Book Description :

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Data Governance and Compliance

Data Governance and Compliance Book
Author : Rupa Mahanti
Publisher : Springer Nature
Release : 2021-04-27
ISBN : 9813368772
Language : En, Es, Fr & De

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Book Description :

This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines. Given the continuously evolving and complex regulatory landscape and the growing number of laws and regulations, compliance is a widely discussed issue in the field of data. This book considers the cost of non-compliance bringing in examples from different industries of instances in which companies failed to comply with rules, regulations, and other legal obligations, and goes on to explain how data governance helps in avoiding such pitfalls. The first in a three-volume series on data governance, this book does not assume any prior or specialist knowledge in data governance and will be highly beneficial for IT, management and law students, academics, information management and business professionals, and researchers to enhance their knowledge and get guidance in managing their own data governance projects from a governance and compliance perspective.

Requirements Engineering Foundation for Software Quality

Requirements Engineering  Foundation for Software Quality Book
Author : Samuel A. Fricker,Kurt Schneider
Publisher : Springer
Release : 2015-03-13
ISBN : 3319161016
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 20th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2014, held in Essen, Germany, in April 2013. The 23 papers presented together with 1 keynote were carefully reviewed and selected from 62 submissions. The REFSQ'15 conference is organized as a three-day symposium. The REFSQ'15 has chosen a special conference theme “I heard it first at RefsQ”. Two conference days were devoted to presentation and discussion of scientific papers. The two days connect to the conference theme with a keynote, an invited talk and poster presentations. There were two parallel tracks on the third day: the Industry Track and the new Research Methodology Track. REFSQ 2015 seeks reports of novel ideas and techniques that enhance the quality of RE’s products and processes, as well as reflections on current research and industrial RE practices.

Robust Quality

Robust Quality Book
Author : Rajesh Jugulum
Publisher : CRC Press
Release : 2018-09-03
ISBN : 0429877277
Language : En, Es, Fr & De

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Book Description :

Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies. Features: Integrates data science, analytics and process engineering concepts Discusses how to create value by considering data, analytics and processes Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches Reviews a structured approach for analytics execution

Handbook of Research on Global Supply Chain Management

Handbook of Research on Global Supply Chain Management Book
Author : Christiansen, Bryan
Publisher : IGI Global
Release : 2015-11-12
ISBN : 1466696400
Language : En, Es, Fr & De

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Book Description :

Supply Chain Management (SCM) has always been an important aspect of an enterprise’s business model and an effective supply chain network is essential to remaining competitive in a global environment. By properly managing the flow of goods and services, businesses can operate more efficiently while managing most of the workload behind-the-scenes. The Handbook of Research on Global Supply Chain Management is an in-depth reference source that covers emerging issues and relevant applications of information pertaining to supply chain management from an international perspective. Featuring coverage on topics such as the global importance of SCMs to strategies for producing an effective supply chain, this comprehensive publication is an essential resource for academics and business professionals alike interested in uncovering managerial insight and logistics solutions.

Relational Database Design and Implementation

Relational Database Design and Implementation Book
Author : Jan L. Harrington
Publisher : Morgan Kaufmann
Release : 2016-04-15
ISBN : 0128499028
Language : En, Es, Fr & De

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Book Description :

Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance. Database systems underlie the large majority of business information systems. Most of those in use today are based on the relational data model, a way of representing data and data relationships using only two-dimensional tables. This book covers relational database theory as well as providing a solid introduction to SQL, the international standard for the relational database data manipulation language. The book begins by reviewing basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL. Topics such as the relational data model, normalization, data entities, and Codd's Rules (and why they are important) are covered clearly and concisely. In addition, the book looks at the impact of big data on relational databases and the option of using NoSQL databases for that purpose. Features updated and expanded coverage of SQL and new material on big data, cloud computing, and object-relational databases Presents design approaches that ensure data accuracy and consistency and help boost performance Includes three case studies, each illustrating a different database design challenge Reviews the basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL

A Practitioner s Guide to Data Governance

A Practitioner s Guide to Data Governance Book
Author : Uma Gupta,San Cannon
Publisher : Emerald Group Publishing
Release : 2020-07-08
ISBN : 1789735696
Language : En, Es, Fr & De

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Book Description :

Data governance looks simple on paper, but in reality it is a complex issue facing organizations. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research.

Navigating the Labyrinth

Navigating the Labyrinth Book
Author : Laura Sebastian-Coleman
Publisher : Technics Publications
Release : 2018-05-09
ISBN : 1634623770
Language : En, Es, Fr & De

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Book Description :

An Executive Guide to Data Management

Business Process Management Workshops

Business Process Management Workshops Book
Author : Chiara Di Francescomarino,Remco Dijkman,Uwe Zdun
Publisher : Springer Nature
Release : 2019
ISBN : 303037453X
Language : En, Es, Fr & De

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Book Description :

This book constitutes revised papers from the twelve International Workshops held at the 17th International Conference on Business Process Management, BPM 2019, in Vienna, Austria, in September 2019: The third International Workshop on Artificial Intelligence for Business Process Management (AI4BPM) The third International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT) The 15th International Workshop on Business Process Intelligence (BPI) The first International Workshop on Business Process Management in the era of Digital Innovation and Transformation (BPMinDIT) The 12th International Workshop on Social and Human Aspects of Business Process Management (BPMS2) The 7th International Workshop on Declarative, Decision and Hybrid approaches to processes (DEC2H) The second International Workshop on Methods for Interpretation of Industrial Event Logs (MIEL) The first International Workshop on Process Management in Digital Production (PM-DiPro) The second International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) The fourth International Workshop on Process Querying (PQ) The second International Workshop on Security and Privacy-enhanced Business Process Management (SPBP) The first International Workshop on the Value and Quality of Enterprise Modelling (VEnMo) Each of the workshops discussed research still in progress and focused on aspects of business process management, either a particular technical aspect or a particular application domain. These proceedings present the work that was discussed during the workshops. .

Application of Intelligent Systems in Multi modal Information Analytics

Application of Intelligent Systems in Multi modal Information Analytics Book
Author : Vijayan Sugumaran
Publisher : Springer Nature
Release : 2021-07-27
ISBN : 3030748146
Language : En, Es, Fr & De

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Book Description :

Download Application of Intelligent Systems in Multi modal Information Analytics book written by Vijayan Sugumaran, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data Book
Author : John R. Talburt,Yinle Zhou
Publisher : Morgan Kaufmann
Release : 2015-04-20
ISBN : 012800665X
Language : En, Es, Fr & De

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Book Description :

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications. Additional material on the theory of EIIM and methods for assessing and evaluating EIMS performance also make this book appropriate for use as a textbook in courses on entity and identity management, data management, customer relationship management (CRM), and related topics. Explains the business value and impact of entity information management system (EIMS) and directly addresses the problem of EIMS design and operation, a critical issue organizations face when implementing MDM systems Offers practical guidance to help you design and build an EIM system that will successfully handle big data Details how to measure and evaluate entity integrity in MDM systems and explains the principles and processes that comprise EIM Provides an understanding of features and functions an EIM system should have that will assist in evaluating commercial EIM systems Includes chapter review questions, exercises, tips, and free downloads of demonstrations that use the OYSTER open source EIM system Executable code (Java .jar files), control scripts, and synthetic input data illustrate various aspects of CSRUD life cycle such as identity capture, identity update, and assertions

Data Integrity and Data Governance

Data Integrity and Data Governance Book
Author : R. D. McDowall
Publisher : Royal Society of Chemistry
Release : 2018-11-08
ISBN : 178801281X
Language : En, Es, Fr & De

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Book Description :

Data integrity is the hottest topic in the pharmaceutical industry. Global regulatory agencies have issued guidance, after guidance after guidance in the past few years, most of which does not offer practical advice on how to implement policies, procedures and processes to ensure integrity. These guidances state what but not how. Additionally, key stages of analysis that impact data integrity are omitted entirely. The aim of this book is to provide practical and detailed help on how to implement data integrity and data governance for regulated analytical laboratories working in or for the pharmaceutical industry. It provides clarification of the regulatory issues and trends, and gives practical methods for meeting regulatory requirements and guidance. Using a data integrity model as a basis, the principles of data integrity and data governance are expanded into practical steps for regulated laboratories to implement. The author uses case study examples to illustrate his points and provides instructions for applying the principles of data integrity and data governance to individual laboratory needs. This book is a useful reference for analytical chemists and scientists, management and senior management working in regulated laboratories requiring either an understanding about data integrity or help in implementing practical solutions. Consultants will also benefit from the practical guidance provided.

Disrupting Data Governance

Disrupting Data Governance Book
Author : Laura B. Madsen
Publisher : Technics Publications
Release : 2019-12-06
ISBN : 1634626559
Language : En, Es, Fr & De

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Book Description :

Data governance is broken. It’s time we fix it. Why is data governance so ineffective? The truth is data governance programs aren’t designed for the way we run our data teams, they aren’t even designed for a modern organization at all. They were designed when reports still came through inter-office mail. The flow of data into, within, and out of today’s organizations is a tsunami breaking through rigid data governance methods. Yet our programs still rely on that command and control approach. Have you ever tried to control a tsunami? Every organization that uses data knows that they need a data governance program. Data literacy efforts and legislation like GDPR have become the bellwethers for our governance functions. But we still sit in data governance meetings without enough people and too many questions to move things forward. There’s no agility to the program because we imply a degree of frailty to the data that doesn’t exist. We continue to insist on archaic methods that bring no value to our organizations. Achieving deep insights from data can’t happen without good governance practices. All indicators point to the need to create a resilient and responsive data governance function. Where we go from here, and how we achieve success in data governance requires a radically different way. The hard truth: it’s time to challenge everything we know about data governance. Laura Madsen shows you how to redefine governance for the modern age. With a casual, witty style Madsen taps on her decades of experience, shares interviews with other best-in-field experts and grounds her perspective in research. Witness where it all fell apart, challenge long-held beliefs, and commit to a fundamental shift—that governance is not about stopping or preventing usage but about supporting the usage of data. Be able to bring back trust and value to our data governance functions, and learn the: · People-driven approach to governance · Processes that support the tsunami of data · Cutting edge technology that’s enabling data governance

Electronic Government and the Information Systems Perspective

Electronic Government and the Information Systems Perspective Book
Author : Andrea Kő,Enrico Francesconi
Publisher : Springer
Release : 2014-08-20
ISBN : 3319101781
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the Third International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2014, held in Munich, Germany, in September 2014, in conjunction with DEXA 2014. The 23 revised full papers presented together with one invited talk were carefully reviewed and selected for inclusion in this volume. The papers are organized in the following topical sections: identity management in e-government; e-participation; intelligent systems in e-government; semantic technologies in e-government; e-government cases; open government data and G-cloud; and privacy and security in e-government.