Historical insight. It focuses on analyzing past data to answer the questions "what happened" (Descriptive Analytics) and "why it happened" (Diagnostic Analytics) through visual reports.

Real-time transaction entry. Its main principle is to process individual daily tasks, like scanning items at a grocery store checkout, as fast as possible.

Single Source of Truth. It enforces Data Governance and consistency by consolidating disparate sources into a central analytical model, ensuring that descriptive and diagnostic metrics are uniform across the organization.

Data aggregation. It groups large amounts of detailed data into summaries (like totals or averages) to help people spot trends and make decisions.