Identify data quality issues, leverage real-world examples and templates to drive change, and unlock the benefits of improved data in processes and decision-making
Poor data quality can lead to increased costs, hinder revenue growth, compromise decision-making, and introduce risk into organizations. This leads to employees, customers, and suppliers finding every interaction with the organization frustrating.
Practical Data Quality provides a comprehensive view of managing data quality within your organization, covering everything from business cases through to embedding improvements that you make to the organization permanently. Each chapter explains a key element of data quality management, from linking strategy and data together to profiling and designing business rules which reveal bad data. The book outlines a suite of tried-and-tested reports that highlight bad data and allow you to develop a plan to make corrections. Throughout the book, you’ll work with real-world examples and utilize re-usable templates to accelerate your initiatives.
By the end of this book, you’ll have gained a clear understanding of every stage of a data quality initiative and be able to drive tangible results for your organization at pace.
This book is for data analysts, data engineers, and chief data officers looking to understand data quality practices and their implementation in their organization. This book will also be helpful for business leaders who see data adversely affecting their success and data teams that want to optimize their data quality approach. No prior knowledge of data quality basics is required.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Robert Hawker started his career as a chartered accountant before making the leap into data in 2007. He led data teams within two global implementations of SAP, looking after master data management, data ownership and stewardship, metadata management, and, of course, data quality over a 14-year period. He moved into analytics in 2017 and now specializes in Microsoft Power BI training, implementation, administration, and governance work. He lives in the UK and shares his experiences through conference and blogs.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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