Information System: Conceptual Modeling (1/3)

Dear students, dear learners, hello. In this new video concerning conceptual data modeling, this video is a continuation of the first video, which was an introduction to information systems. But before starting this second chapter, we will try to briefly review the first one. During the first chapter, we talked about the notion of organization and organizational structure. We said that an organization is mainly composed of three systems: the steering system, the operating system, and the information system. The steering system, as its name suggests, allows for steering, ordering, managing disorder, making decisions, and setting objectives. The operating system is the low-level system that allows for transformation, production, and the execution of elementary operations to transmit or produce. The information system has the role of collecting, storing, processing, and transmitting information to the right destination. To design an information system, we need a professional design method that allows us to achieve high-performing and relevant information systems. The key point of the Merise method is that it separates data and processes, and the development approach is conducted and followed along three axes, which we call three cycles: the life cycle, which specifies how the steps are linked; the decision cycle, which concerns all decisions made during the life cycle; and the abstraction cycle, which interests us most, allowing us to divide our information system into conceptual, logical, and physical levels and develop appropriate models for each level.