Introduction

Data modeling is a crucial component of the design process that ensures the effectiveness of a data platform. Data modeling is a highly technical process and should be used to assist business stakeholders in defining their business requirements. Before commencing with data modeling, an organization must pin down the inner workings of its business processes in order to best characterize the data. This article will look at various data models for an organization.

A successful data modeling approach optimizes the use of human and computational resources, foresees problems before they occur, improves cross-functional communication, and ensures compliance. A comprehensive data model improves an organization's responsiveness to change, reduces risks, and promotes effectiveness, ultimately lowering costs.