Which steps are involved in creating a new conceptual analytics index?

Creating a new conceptual analytics index involves a series of specific actions aimed at processing and structuring data effectively for analysis. The correct approach begins with creating a saved search, which allows you to define the scope of the data you are interested in analyzing. This is crucial as it identifies the relevant documents that will be included in the analysis.

Following this, running structured analytics is necessary. This phase involves applying analytics techniques to the data retrieved in the saved search, enabling the organization and categorization of information based on the learned structures, patterns, and relationships within the data. It is during this stage that the system can extract insights or gains from the data set.

Finally, building the index is the last step, where the structured information is compiled and organized into an index. This index then serves as a foundation for advanced search and analytics capabilities, making it possible to perform useful queries and retrieve insights efficiently.

This combination of creating a saved search, running structured analytics, and building the index is essential for effectively leveraging analytics capabilities in a way that enhances data accessibility and usability.