Abstract: Natural language can be used to conduct a conversation that yields analytic results. An interactive user interface can present suggestive content associated with a natural language input to a user. The suggestive content can guide assist the user in obtaining analytic data/information relating to a business, industry, and/or the like. An ontology comprising one or more content items associated with the natural language input can generated. The ontology can be represented as and/or associated with a data structure that temporal correlates a plurality of content items to the natural language input.

Abstract: Provided are methods, systems, and apparatuses for enabling an analytics user interface to be adaptive based on, among other things, content of a user-defined query. A computing device may receive the query, which is to be applied to a dataset. The computing device way receive the query via an analytics user interface. Based on the query and using a recommendation engine, a plurality of recommended result elements and associated visualization elements may be determined. Based on the query and a selected recommended result element, a query result may be generated. The query result may contain a portion of records from the dataset, which may associated with the query and the at least one result element.

Abstract: Natural language can be used to conduct a conversation that yields analytic results. An interactive user interface can present suggestive content associated with a natural language input to a user. The suggestive content can guide assist the user in obtaining analytic data/information relating to a business, industry, and/or the like. An ontology comprising one or more content items associated with the natural language input can generated. The ontology can be represented as and/or associated with a data structure that temporal correlates a plurality of content items to the natural language input.

Abstract: Provided are methods, systems, and apparatuses for enabling an analytics user interface to be adaptive based on, among other things, content of a user-defined query. A computing device may receive the query, which is to be applied to a dataset. The computing device way receive the query via an analytics user interface. Based on the query and using a recommendation engine, a plurality of recommended result elements and associated visualization elements may be determined. Based on the query and a selected recommended result element, a query result may be generated. The query result may contain a portion of records from the dataset, which may associated with the query and the at least one result element.