Enterprise data modeling is the process of creating a visual representation of an entire organization's data architecture. This model provides a comprehensive framework for organizing, managing, and utilizing data across various departments and systems. It involves defining data entities, their relationships, and the rules governing data interactions to ensure consistency, accuracy, and accessibility. This helps organizations align their data strategy with business objectives, improve data quality, and facilitate better decision-making.

Big data analytics involves examining large and varied datasets often known as big data to uncover hidden patterns, correlations, market trends, customer preferences, and other useful business insights. This process utilizes advanced analytic techniques, including machine learning, data mining, and statistical analysis, to process and analyze data at high volume, velocity, and variety, enabling organizations to make data-driven decisions.