Modern Data Strategy

Description

This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management. Front Matter ....Pages i-xix Front Matter ....Pages 1-1 Evolution to Modern Data Management (Mike Fleckenstein, Lorraine Fellows)....Pages 3-5 Big Data and Data Management (Mike Fleckenstein, Lorraine Fellows)....Pages 7-10 Valuing Data As an Asset (Mike Fleckenstein, Lorraine Fellows)....Pages 11-14 Physical Asset Management vs. Data Management (Mike Fleckenstein, Lorraine Fellows)....Pages 15-22 Front Matter ....Pages 23-23 Leading a Data Strategy (Mike Fleckenstein, Lorraine Fellows)....Pages 25-34 Implementing a Data Strategy (Mike Fleckenstein, Lorraine Fellows)....Pages 35-54 Overview of Data Management Frameworks (Mike Fleckenstein, Lorraine Fellows)....Pages 55-59 Front Matter ....Pages 61-61 Data Governance (Mike Fleckenstein, Lorraine Fellows)....Pages 63-76 Data Architecture (Mike Fleckenstein, Lorraine Fellows)....Pages 77-91 Master Data Management (Mike Fleckenstein, Lorraine Fellows)....Pages 93-99 Data Quality (Mike Fleckenstein, Lorraine Fellows)....Pages 101-119 Data Warehousing and Business Intelligence (Mike Fleckenstein, Lorraine Fellows)....Pages 121-131 Data Analytics (Mike Fleckenstein, Lorraine Fellows)....Pages 133-142 Data Privacy (Mike Fleckenstein, Lorraine Fellows)....Pages 143-163 Data Security (Mike Fleckenstein, Lorraine Fellows)....Pages 165-177 Metadata (Mike Fleckenstein, Lorraine Fellows)....Pages 179-193 Records Management (Mike Fleckenstein, Lorraine Fellows)....Pages 195-207 Back Matter ....Pages 209-263