Business Intelligence Exam Practice 2026 – Complete Prep Guide

The main purpose of data profiling in Business Intelligence (BI) is to assess data quality and structure. Data profiling involves analyzing the data assets of an organization to understand their content, relationships, and quality. This process helps in identifying issues such as inconsistencies, missing values, duplicates, and compliance with business rules.

By conducting data profiling, organizations can ensure that the data they rely on for analysis and decision-making is accurate, complete, and suitable for their intended use. This foundational step is crucial before any meaningful BI initiatives can be undertaken, as it provides insights into the reliability of the data which, in turn, affects reporting and analytics.

While visualizing data trends, collecting real-time data, and creating user interfaces are all important aspects of Business Intelligence, they are not the primary focus of data profiling. This technique specifically targets the integrity and organization of the data itself, thus forming a critical component of a successful BI strategy.