Alex Berson and Larry Dubov | Reviewed by Bright Munongwa
The creation of a ‘single version of the truth’ and managing the quality of data are key for any enterprise. As enterprises are collecting an ever- increasing amount of information, they face the challenge of managing data that are complete, accurate, relevant and secure. The same data also need to be uniformly available to all units within the enterprise. Master data management (MDM) and data governance have emerged as disciplines that seek to help enterprises address these challenges.
Master Data Management and Data Governance is a reference guide that looks at the topics of MDM and data governance from multiple perspectives. The book explores issues, approaches, concerns, drivers, benefits, architecture, applications and trends of MDM and data governance.
Master Data Management and Data Governance is divided into five parts. Part one sets the tone of the book by introducing the reader to MDM, then providing an overview of the drivers and challenges of MDM. The application of MDM is also demonstrated across different industries, including financial services, telecommunications and the public sector.
Part two deals with the architectural considerations for MDM and outlines how MDM architecture has evolved over the years. Two key concepts relevant to MDM architecture are discussed: enterprise architecture framework and service-oriented architecture.
Part three explores compliance requirements and risks associated with MDM. Implementation of MDM solutions may expose the enterprise to various information risks of which MDM practitioners need to be aware. This part is particularly useful to information systems audit and security professionals who are responsible for ensuring that the risk associated with MDM initiatives is properly considered and mitigated.
Part four discusses the practical approaches to implementing an MDM solution. This section is valuable for enterprises because it outlines how to build a business case and a road map for MDM. A business case for MDM is critical for obtaining the buy-in of management and other stakeholders. Master data governance is also discussed in greater detail in this part of the book.
Part five concludes the book by looking at the vendor solutions that are available on the market. A summary of the key takeaways from the book is provided, and the publication closes with a look at future trends of MDM.
Master Data Management and Data Governance is targeted at a variety of professionals with an interest in MDM and data governance. Information security professionals and auditors will also find the book useful, as it tackles the information risk associated with MDM.
A key strength of the book is the comprehensive and practical way the topics are explained. While MDM is clearly a technical subject, other dimensions, such as the business side of implementing MDM solutions, are equally well addressed. Regulatory and security aspects are explained as they relate to MDM and data governance, and the authors do a brilliant job of distilling all the various dimensions into an easy-to-comprehend text.
Master Data Management and Data Governance is available from the ISACA Bookstore. For information, see the ISACA Bookstore Supplement in this Journal, visit www.isaca.org/bookstore, e-mail firstname.lastname@example.org or telephone +1.847.660.5650.
Reviewed by Bright Munongwa, CISA, CGEIT, CRISC, CIA, a specialist IT auditor at Nedbank Ltd., one of South Africa’s Big Four banks. Munongwa serves on the ISACA Publications Subcommittee.
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