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Solutions 13

FIGURE 2-4
Supply Chain Metaphor.

So, for the sake of review:
• EIM is the program similar to supply chain managementdan overall philosophy of management
toward a goal of efﬁciency.
• DG is like auditing. Rules, standards, and policies are deﬁned and veriﬁed. Data governance is the
QA/audit/compliance aspect of EIM. DG designs the rules that information is managed by. IM does
the managing.
• IM is like, well, IM. Information management is the same as inventory managementdthe actual
touching, moving, tracking, and managing activities of the assets.

SOLUTIONS

In addition to the aforementioned concepts in this chapter, there are concepts and terms you need to
understand that are more related to various business solutions that DG will support. Before we look at
the speciﬁc types of solutions, however, we need to understand one key theme related to all of these
solutions: regardless of the type of data or content being governed, data governance is essentially done
the same way. That is, from a “how to” data governance perspective, none of the solutions we are
deﬁning make a bit of difference in how you deploy data governance.
The three areas that require and usually trigger data governance programs are:

• Master Data Management
• Data Quality
• Business Intelligence

Master Data Management

Master data management (MDM) is actually a revision of another solutions set that started with
customer data integration (CDI). The theory was to create a “gold copy” of a crucial data subject (i.e.,
customer). The gold copy is the single source of truth regarding customer, and all other uses of the
concept of customer must be subservient to the central or gold copy. CDI became MDM when the

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