Data governance (17 resultados)

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Taschenbuch. Condición: Neu. Neuware - Data has become one of the most valuable assets within every modern organization, yet its value depends entirely on its quality. Decisions based on incomplete, inconsistent, duplicated, or inaccurate information can lead to operational inefficiencies, regulatory challenges, dissatisfied customers, and missed business opportunities.While organizations continue to invest heavily in analytics, artificial intelligence, cloud platforms, and digital transformation initiatives, many still struggle with a fundamental problem: ensuring that the data driving these technologies is trustworthy.This book provides a practical, hands-on guide to understanding and implementing enterprise data quality. Rather than focusing solely on theory, it presents the principles, processes, governance practices, and technologies that enable organizations to improve the accuracy, consistency, completeness, and reliability of their information assets. Throughout these chapters, you will learn how data quality fits within the broader disciplines of data governance, master data management, reference data management, metadata management, and enterprise architecture. …

Condición: New. Print on Demand.

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

Paperback. Condición: new. Paperback. Let's be honest. No one grows up dreaming of becoming a Data Steward. It's not glamorous. You're not flying spaceships, launching startups, or building the next viral app. You're dealing with duplicates, missing values, inconsistent spellings, and business users who think "the system is broken" when they entered a date in the wrong format. But let me tell you something. Data stewardship is one of the most essential jobs in any organization. Why? Because no amount of dashboards, cloud services, or AI models will save a business that doesn't know what its data means-or whether it can trust it. I've spent over 25 years in data: building databases, cleaning up integration messes, writing code to catch bad records before they spread, and yes-mentoring people like you, the stewards stuck between business and IT, quietly holding the whole thing together. This book is for you. It's written for the real-world steward.The one who didn't get a job description. The one who has to figure it out as they go. The one who asks, "Why are there 7 different definitions of 'customer'?" and then actually tries to fix it. Inside these pages, you'll find checklists, templates, dashboards, and all the tools I wish someone had handed me when I started. You'll also find grumpy wisdom from years of trial and error, success and failure, all shaped into something practical, honest, and just a little bit sarcastic. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

Paperback. Condición: new. Paperback. This hands-on guide demystifies the role of data governance frameworks in modern organizations. Whether you're new to the concept or a seasoned data professional looking to formalize your skills, this book provides a roadmap for implementing a data governance framework for your organization. From data governance foundations to day-to-day responsibilities and toolsets, this guide ensures you're ready to support enterprise data quality, compliance, and business value.Unique Selling Points: How to design and implement a practical enterprise data governance frameworkThe roles of data stewards, governance councils, and ownership models in successful programsHow data quality, metadata management, and master data management work togetherReal-world approaches to data engineering, data pipelines, and governance automationHow security, privacy, and compliance integrate into modern data governance programsProven techniques for building data catalogs, lineage systems, and stewardship workflows This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

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

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

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Let's be honest. No one grows up dreaming of becoming a Data Steward. It's not glamorous. You're not flying spaceships, launching startups, or building the next viral app. You're dealing with duplicates, missing values, inconsistent spellings, and business users who think "the system is broken" when they entered a date in the wrong format. But let me tell you something. Data stewardship is one of the most essential jobs in any organization. Why? Because no amount of dashboards, cloud services, or AI models will save a business that doesn't know what its data means-or whether it can trust it. I've spent over 25 years in data: building databases, cleaning up integration messes, writing code to catch bad records before they spread, and yes-mentoring people like you, the stewards stuck between business and IT, quietly holding the whole thing together. This book is for you. It's written for the real-world steward.The one who didn't get a job description. The one who has to figure it out as they go. The one who asks, "Why are there 7 different definitions of 'customer'?" and then actually tries to fix it. Inside these pages, you'll find checklists, templates, dashboards, and all the tools I wish someone had handed me when I started. You'll also find grumpy wisdom from years of trial and error, success and failure, all shaped into something practical, honest, and just a little bit sarcastic. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. This hands-on guide demystifies the role of data governance frameworks in modern organizations. Whether you're new to the concept or a seasoned data professional looking to formalize your skills, this book provides a roadmap for implementing a data governance framework for your organization. From data governance foundations to day-to-day responsibilities and toolsets, this guide ensures you're ready to support enterprise data quality, compliance, and business value.Unique Selling Points: How to design and implement a practical enterprise data governance frameworkThe roles of data stewards, governance councils, and ownership models in successful programsHow data quality, metadata management, and master data management work togetherReal-world approaches to data engineering, data pipelines, and governance automationHow security, privacy, and compliance integrate into modern data governance programsProven techniques for building data catalogs, lineage systems, and stewardship workflows This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. Data has become one of the most valuable assets within every modern organization, yet its value depends entirely on its quality. Decisions based on incomplete, inconsistent, duplicated, or inaccurate information can lead to operational inefficiencies, regulatory challenges, dissatisfied customers, and missed business opportunities.While organizations continue to invest heavily in analytics, artificial intelligence, cloud platforms, and digital transformation initiatives, many still struggle with a fundamental problem: ensuring that the data driving these technologies is trustworthy.This book provides a practical, hands-on guide to understanding and implementing enterprise data quality. Rather than focusing solely on theory, it presents the principles, processes, governance practices, and technologies that enable organizations to improve the accuracy, consistency, completeness, and reliability of their information assets. Throughout these chapters, you will learn how data quality fits within the broader disciplines of data governance, master data management, reference data management, metadata management, and enterprise architecture. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…