Details

Modern Data Strategy


Modern Data Strategy



von: Mike Fleckenstein, Lorraine Fellows

101,14 €

Verlag: Springer
Format: PDF
Veröffentl.: 12.02.2018
ISBN/EAN: 9783319689937
Sprache: englisch

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

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.
1 Evolution to Modern Data Management.- 2 Big Data and Data Management.- 3 Valuing Data as an Asset.- 4 Physical Asset Management vs. Data Management.- 5 Leading Data Strategy.- 6 Implementing a Data Strategy.- 7 Overview of Data Management Frameworks.- 8 Data Governance.- 9 Data Architecture.- 10 Master Data Management.- 11 Data Quality.- 12 Data Warehousing and Business Intelligence.- 13 Data Analytics.- 14 Data Privacy.- 15 Data Security.- 16 Metadata.- 17 Records Management.
Discusses specific steps to align a data strategy with the organizations business strategy Explains how data management responsibilities are typically structured and executed, both formally and informally, within an organization Enumerates and explains leading data management frameworks, and how they overlap and differ
Discusses specific steps to align a data strategy with the organizations business strategy Explains how data management responsibilities are typically structured and executed, both formally and informally, within an organization Enumerates and explains leading data management frameworks, and how they overlap and differ

Diese Produkte könnten Sie auch interessieren:

Programming 101
Programming 101
von: Jeanine Meyer
PDF ebook
34,99 €
Asset Attack Vectors
Asset Attack Vectors
von: Morey J. Haber, Brad Hibbert
PDF ebook
24,99 €
SQL Primer
SQL Primer
von: Rahul Batra
PDF ebook
29,99 €