Synopses & Reviews
A recent Information Week article told us that the amount of data stored in business now doubles every 12-18 months, and that the demand for information is increasing at such a fast pace that IT organizations are struggling to deliver timely responses to the information requests of businesses. Because of the unfortunate state of most companies' information architecture, these requests take months, not days, to satisfy. Many organizations are re-examining their existing approaches to managing data and ensuring the foundation of information management is well-managed.
If your organization is no different from others, this book will help you leverage your existing data warehouse and business intelligence initiatives, and provide a focal point for data quality--far beyond what using vendor tools alone. Master Data Management provides a detailed view of the problem, the solutions, and the challenges associated with:
-- establishing best practices for instituting an MDM program;
-- the guidelines and techniques for assessing enterprise master data quality and best technical approaches for building an MDM solution;
-- the techniques for identifying MD objects, modeling a canonical form, and extracting and aggregating master data, and
--the policies and processes used in migrating toward hte SOA integration of the master repository across existing and future line of business applications.
* Focuses exclusively on one of the top three IT issues in business today: Master Data Management.
* One-stop shopping for guidelines, techniques, and best practices for building MDM solutions.
* Written by a recognized expert in data quality and data integration who hosts anexpert channel and newsletter on www.b-eye-network.com
The key to a successful MDM initiative isn’t technology or methods, it’s people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect.
Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM—an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you’ll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness.
* Presents a comprehensive roadmap that you can adapt to any MDM project.
* Emphasizes the critical goal of maintaining and improving data quality.
* Provides guidelines for determining which data to “master.”
* Examines special issues relating to master data metadata.
* Considers a range of MDM architectural styles.
* Covers the synchronization of master data across the application infrastructure.
About the Author
David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including “Master Data Management" (2008) and “Business Intelligence - The Savvy Manager’s Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.
President, Knowledge Integrity Incorporated, Silver Springs, MD, USA
Table of Contents
Chapter 1) Introduction: Master Data and Master Data Management
Chapter 2) Business Process Models, Stakeholders, and Participant Coordination
Chapter 3) MDM Maturity and the Implementation Roadmap
Chapter 4) Enterprise Data Governance
Chapter 5) The Value of Data Quality
Chapter 6) Data Standards and Metadata Management
Chapter 7) Identifying Master Data
Chapter 8) Data Modeling Issues for MDM
Chapter 9) MDM Paradigms and Architectures
Chapter 10) Data Consolidation and Integration
Chapter 11) Master Data Synchronization –
Chapter 12) The Functional Application Services Layer
Chapter 13) Management Guidelines and Summary