What is the goal of data profiling in Qlik Sense?

The goal of data profiling in Qlik Sense is to analyze data for accuracy and completeness. This process involves examining the data's structure, content, and quality to ensure it meets the necessary standards for analytics. By assessing the data, analysts can identify issues such as missing values, inconsistencies, or anomalies that could affect the reliability of insights derived from the data. By ensuring accuracy and completeness, organizations can make better decisions based on trustworthy data.

The focus on accuracy helps in understanding whether the data values are correct, while completeness ensures that all required data is present. This foundational assessment is critical for any data-driven initiatives within Qlik Sense, as high-quality data leads to more meaningful analysis and better visualizations.

Other choices relate to different functionalities and features of Qlik Sense. Speed of data processing, user access management, and the creation of interactive dashboards are important aspects but are not directly tied to the specific goal of data profiling. Instead, these aspects play supporting roles in the overall data management and visualization processes within the platform.