Within the information systems field, the task of conceptual modeling involves building a representation of selected phenomena in some domain. High-quality conceptual-modeling work is important ...

Data modeling is the process of defining datapoints and struc­tures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.

An enterprise conceptual data model is often seen as a high mountain to be climbed, a journey that will last a lifetime. People have visions of 10 feet or more of wall in the corporate offices ...

From a database perspective, business constraints provide an accurate picture of the real world being modeled and help enforce data integrity. Typically, rules are gathered during requirements ...

Logical data model The logical data model contains more detail than the conceptual data model and includes all the entities, relationships, attributes and rules that apply to the data.

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. The financial services industry is full of duplicated and repetitive ...