Корпоративное качество данных Автор: Hubert Ostler
В условиях, когда промышленность 4.0 и цифровые услуги производят неизвестные ранее объемы данных и открывают новые бизнес-модели, качество данных становится ключевым фактором успеха.
Эта книга представляет собой комплексный подход к управлению качеством данных, а также десять практических примеров, посвященных этой теме. Книга предназначена для практиков, занимающихся управлением качеством данных и управлением данными в организациях, а также для ученых.
Книга была написана в Центре компетенций корпоративного качества данных (CC) CDQ в тесном сотрудничестве между исследователями Университета Санкт-Галлена, Фраунхо
The book deals with the concept of corporate data quality, covering all aspects of data management, efficiency, transparency and security. It also presents 10 case studies of real-world success stories, providing insights into how companies can improve their data management practices. The book is a valuable resource for both practitioners and researchers in the field of data quality management, and it can help organizations reduce their data-related risks and enhance their competitiveness.
Электронная Книга «Corporate Data Quality» написана автором Hubert Osterle в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9783737575935
Описание книги от Hubert Osterle
Data is the foundation of the digital economy. Industry 4.0 and digital services are producing so far unknown quantities of data and make new business models possible. Under these circumstances, data quality has become the critical factor for success. This book presents a holistic approach for data quality management and presents ten case studies about this issue. It is intended for practitioners dealing with data quality management and data governance as well as for scientists. The book was written at the Competence Center Corporate Data Quality (CC CDQ) in close cooperation between researchers from the University of St. Gallen and Fraunhofer IML as well as many representatives from more than 20 major corporations.
Chapter 1 introduces the role of data in the digitization of business and society and describes the most important business drivers for data quality. It presents the Framework for Corporate Data Quality Management and introduces essential terms and concepts.
Chapter 2 presents practical, successful examples of the management of the quality of master data based on ten cases studies that were conducted by the CC CDQ. The case studies cover every aspect of the Framework for Corporate Data Quality Management.
Chapter 3 describes selected tools for master data quality management. The three tools have been distinguished through their broad applicability (method for DQM strategy development and DQM maturity assessment) and their high level of innovation (Corporate Data League).
Chapter 4 summarizes the essential factors for the successful management of the master data quality and provides a checklist of immediate measures that should be addressed immediately after the start of a data quality management project. This guarantees a quick start into the topic and provides initial recommendations for actions to be taken by project and line managers.
Please also check out the book's homepage at cdq-book.org/
