Data integrity quality (31 résultats)

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Paperback or Softback. Etat : New. Managing Data Integrity for Finance: Discover practical data quality management strategies for finance analysts and data professionals. Book.

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Etat : As New. Unread book in perfect condition.

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Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. In English.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

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Etat : New. In English.

Etat : New. Print on Demand.

LeatherBound. Etat : New. BOOKS ARE EXEMPT FROM IMPORT DUTIES AND TARIFFS; NO EXTRA CHARGES APPLY. LeatherBound edition. Condition: New. Reprinted from 1970 edition. Leather Binding on Spine and Corners with Golden leaf printing on spine. Bound in genuine leather with Satin ribbon page markers and Spine with raised gilt bands. A perfect gift for your loved ones. Pages: 106 NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Pages: 106 Volume 131.…

Etat : New. PRINT ON DEMAND.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This hands-on guide will help you learn various strategies for managing data integrity and data quality using effective frameworks, tools, and strategies.

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 152 pp. Englisch.…

Taschenbuch. Etat : Neu. Managing Data Integrity for Finance | Discover practical data quality management strategies for finance analysts and data professionals | Jane Sarah Lat | Taschenbuch | Englisch | 2024 | Packt Publishing | EAN 9781837630141 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnData 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.…

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 152 pp. Englisch.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Buch. Etat : Neu. Data Integrity and Quality | Santhosh Kumar Balan | Buch | Gebunden | Englisch | 2021 | IntechOpen | EAN 9781839687983 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 570 pp. Englisch.

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data quality has become a defining factor in the reliability, legitimacy, and impact of data-driven organisations. As data ecosystems grow in scale and complexity, encompassing heterogeneous sources, unstructured data, advanced analytics, and artificial intelligence, the consequences of poor data quality extend well beyond technical inefficiencies. Inconsistent, incomplete, or poorly governed data can undermine decision-making, weaken confidence in automated systems, and increase regulatory, ethical, and reputational risks. Data Quality Matters - Best Practices for Integrity and Assurance offers a comprehensive and timely exploration of these challenges, presenting data quality as a socio-technical capability that must be addressed across the entire data lifecycle. Bringing together conceptual foundations, governance approaches, methodological techniques, and applied experiences, the volume moves beyond narrow interpretations of data quality as a set of isolated metrics. Instead, it emphasises integrity (the consistency, traceability, and soundness of data), and assurance (the organisational and technical mechanisms that justify confidence in data and data-driven outcomes). The book covers key topics such as data quality models and dimensions, data governance and policy frameworks, integration and harmonisation, regulatory and legal considerations, quality assurance for unstructured and synthetic data, and emerging challenges in data-centric artificial intelligence. Designed for researchers, practitioners, and decision-makers alike, this volume bridges theory and practice, offering both insight and guidance for translating data quality principles into operational capabilities. By addressing quality as a foundational enabler of trustworthy analytics and responsible AI, this book provides a valuable reference for those seeking to improve data-driven decisions in complex, real-world environments. 570 pp. Englisch.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data quality has become a defining factor in the reliability, legitimacy, and impact of data-driven organisations. As data ecosystems grow in scale and complexity, encompassing heterogeneous sources, unstructured data, advanced analytics, and artificial intelligence, the consequences of poor data quality extend well beyond technical inefficiencies. Inconsistent, incomplete, or poorly governed data can undermine decision-making, weaken confidence in automated systems, and increase regulatory, ethical, and reputational risks. Data Quality Matters - Best Practices for Integrity and Assurance offers a comprehensive and timely exploration of these challenges, presenting data quality as a socio-technical capability that must be addressed across the entire data lifecycle. Bringing together conceptual foundations, governance approaches, methodological techniques, and applied experiences, the volume moves beyond narrow interpretations of data quality as a set of isolated metrics. Instead, it emphasises integrity (the consistency, traceability, and soundness of data), and assurance (the organisational and technical mechanisms that justify confidence in data and data-driven outcomes). The book covers key topics such as data quality models and dimensions, data governance and policy frameworks, integration and harmonisation, regulatory and legal considerations, quality assurance for unstructured and synthetic data, and emerging challenges in data-centric artificial intelligence. Designed for researchers, practitioners, and decision-makers alike, this volume bridges theory and practice, offering both insight and guidance for translating data quality principles into operational capabilities. By addressing quality as a foundational enabler of trustworthy analytics and responsible AI, this book provides a valuable reference for those seeking to improve data-driven decisions in complex, real-world environments. …