Part I of this text provides an overview of enterprise information management (EIM) and information governance. It reviews and details the various functions in EIM, such as business intelligence, master data management, and transactional data management, with a discussion on the emerging function of “big data.” It next introduces and details the seven components of information governance. Although this is not a “what” is information governance book, it is necessary to establish a foundation for what each component is and how to deploy them in both development and ongoing efforts.
Part I sets the stage for the major focus of the book: how information governance components thread into EIM projects. For example, what data stewardship tasks are necessary when building a data mart data model? What types of metadata are captured and managed in a master data management project? What are the ongoing privacy and security tasks needed for connecting your intranet to a social network? These are presented at a high level and then defined and explained at a detailed level in subsequent sections and chapters of the book.
This chapter focuses on each of the functions within EIM in terms of their purpose, unique artifacts that are used to design and maintain the applications, and how they are built. It explains how these different functions interconnect to provide an entire information environment for an organization.
What Is Enterprise Information Management?
The major focus of this book is performing information governance within the context of enterprise information management (EIM.) To understand information governance, it is important to start with an understanding of EIM area within an organization. EIM is the information management foundation for both transaction and analytic processing. It is a series of functions that are segmented based on the type of transactional, operational, and analytic processes they support (see Figure 1.1).
Figure 1.1 Enterprise information management functions