{"product_id":"data-quality-concepts-methodologies-and-techniques-for-success","title":"Data Quality: Concepts, Methodologies and Techniques for Success","description":"\u003cp\u003eThe book \u003cstrong\u003eData Quality: Concepts, Methodologies and Techniques\u003c\/strong\u003e offers a comprehensive exploration of the essential principles that govern data quality in today's data-centric world. Authored by experts Carlo Batini and Monica Scannapieco, this text serves as a vital resource for professionals and students alike who are keen on mastering the intricacies of data management.\u003c\/p\u003e\u003cp\u003eIn the realm of \u003cstrong\u003edata quality management\u003c\/strong\u003e, understanding the various methodologies is crucial. This book delves into the different approaches that can be adopted to ensure data integrity and reliability. Readers will find detailed discussions on how to implement effective data quality frameworks that can be tailored to specific organizational needs.\u003c\/p\u003e\u003cp\u003eOne of the standout features of this book is its focus on practical techniques. The authors provide a wealth of \u003cstrong\u003etechniques for data cleansing\u003c\/strong\u003e, validation, and enrichment, making it an invaluable guide for practitioners. Each chapter is filled with real-world examples that illustrate the application of these techniques in various industries.\u003c\/p\u003e\u003cp\u003eMoreover, the book emphasizes the importance of \u003cstrong\u003edata governance\u003c\/strong\u003e in maintaining high data quality standards. It discusses the roles and responsibilities of data stewards and the significance of establishing clear policies and procedures. This insight is particularly beneficial for organizations looking to enhance their data management practices.\u003c\/p\u003e\u003cp\u003eAnother key aspect covered in this text is the impact of emerging technologies on data quality. With the rise of big data and artificial intelligence, the authors explore how these advancements can both challenge and improve data quality efforts. The discussion on \u003cstrong\u003ebig data analytics\u003c\/strong\u003e provides readers with a forward-looking perspective on the future of data quality management.\u003c\/p\u003e\u003cp\u003eFor those interested in the theoretical underpinnings of data quality, the book does not disappoint. It includes a thorough examination of the \u003cstrong\u003econceptual frameworks\u003c\/strong\u003e that define data quality dimensions, such as accuracy, completeness, and consistency. This foundational knowledge is essential for anyone looking to deepen their understanding of the subject.\u003c\/p\u003e\u003cp\u003eIn conclusion, \u003cstrong\u003eData Quality: Concepts, Methodologies and Techniques\u003c\/strong\u003e is a must-read for anyone involved in data management. Its blend of theory and practice, coupled with the authors' expertise, makes it an essential addition to any professional library. Whether you are a seasoned data professional or a newcomer to the field, this book will equip you with the knowledge and skills needed to excel in the ever-evolving landscape of data quality.\u003c\/p\u003e","brand":"GearMustHave","offers":[{"title":"Default Title","offer_id":48155463254235,"sku":"3642069703","price":107.29,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61pEZEMqqYL._SL1248.jpg?v=1768866694","url":"https:\/\/gearmusthave.com\/products\/data-quality-concepts-methodologies-and-techniques-for-success","provider":"GearMustHave","version":"1.0","type":"link"}