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The terms information analysis, data analysis, and information management are closely related and – as with so many terms – are defined differently depending on the context and author. For example, in the Netherlands, the term information management currently has very little to do with the management of information. Instead, it tends to mean the capability to understand and manage IT requirements and the associated portfolio of required projects to implement them. The more general definition of this term is the organizational capability to manage the lifecycle of data, which is quite close to how DM is defined.

In my view, information/ data analysis is a capability that operates on a completely different level of abstraction. The purpose of this type of analysis is, in the context of the information needs of a stakeholder or group of stakeholders, to analyze the interplay between process, information/ data, and systems and document a functional/ technical design that can be used to implement these requirements through the development or adaptation of IT systems.

Many of the techniques that I will discuss in chapter 11 are also used for information/ data analysis. Classic approaches that fall into this category – developed in the 1990s and still highly relevant today – are structured analysis and design [You89] and information engineering [Mar89, Mar90a, Mar90b].