What is the best use of "Connect Data Sources" in analytics?

The best use of "Connect Data Sources" in analytics is to combine datasets to aggregate results. This functionality allows analysts to pull together different data sets from various sources into a unified view, enabling comprehensive analysis and reporting. By aggregating results from these multiple datasets, users can gain deeper insights, identify trends, and derive meaningful conclusions that may not be apparent from isolated data sources.

This process enhances the ability to conduct robust analysis by ensuring that all relevant data is considered, which is crucial for generating accurate and reliable insights. Utilizing combined data sources can lead to more significant findings and support better decision-making, as it provides a holistic view of the information landscape.

While linking different visualizations, joining reports, or enhancing data sharing capabilities may play important roles in the overall analytics process, they do not capture the primary function of connecting data sources as effectively as the aggregation of datasets. Aggregating results directly addresses the need for integration in analytical tasks, empowering users to optimize their insights and leverage the full potential of the data at hand.