This series is about understanding data fundamentals applicable to information systems. In this article and the next, record types specific to an organization’s line(s) of business are discussed. These records support maintaining data for an organization’s Products, Customers, Sales, and sale-related Locations. They will be viewed within the context of five generic line of business functions that represent the business processes involving any product as it goes through its lifecycle.

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A software feature consists of one or more logically related system capabilities that provide value to a user and are described by a set of functional requirements. Many business analysts use features as a way to describe the scope of a project. However, a simple list doesn’t readily show the size and complexity of various features. Nor does quickly skimming a feature list easily reveal the full scope of a project. A feature tree is a visual analysis model that organizes a set of features in a format that makes them easy to understand.

We begin our exploration of information system data fundamentals by looking at types of records applicable to any organization. Records such as     GL ACCOUNT, STAFF MEMBER, and ASSET are well-understood within any organization large enough to warrant information systems supporting Accounting, Human Resources, or Asset Management functions. These functions and record types are well supported today by commercial off-the-shelf (COTS) packages. So well supported, it’s difficult to imagine any organization justifying a decision to develop an in-house solution rather than buy a commercially available one.

This is the first of a series of articles intended to help business analysts deal with the information aspect of information systems during requirements elicitation. Requirements are commonly categorized as either functional or non-functional. Given only these two choices, data requirement details are typically included as part of functional requirements. Some may be recorded separately as business rules. By focusing on data fundamentals for information systems, this series hopes that business analysts will be better able to recognize data-specific needs and document them accordingly.