What is the process of presenting data that lives in the Cube with data that lives elsewhere?

The process of presenting data that resides in the Cube alongside data from other sources is best described as Analytic Blend. This technique allows for the combination of diverse datasets, enabling users to analyze them together in a unified view.

Analytic Blend is particularly beneficial in scenarios where organizations need insights that draw from both operational data stored in the Cube and external data sources, such as databases, spreadsheets, or cloud applications. This blending of data provides a comprehensive perspective, facilitating informed decision-making and detailed analysis across different dimensions of the business.

In contrast, data merging typically refers to the combining of datasets based on common fields or keys, which is not the primary focus in this scenario. Data integration encompasses a broader range of processes involved in connecting and consolidating data from various sources but does not specifically highlight the analytical aspect. Data aggregation involves summarizing data, which does not directly address the need for presenting and analyzing diverse data sets together. Thus, Analytic Blend correctly captures the intent of integrating Cube data with external sources for comprehensive analysis.