Abstract: Provided are methods and systems comprising determining one or more relationships between a plurality of data sets, determining a score for each of the one or more relationships, generating a graphical data set object for each of the plurality of data sets, classifying each graphical data set object as connected or unconnected based on the score for each of the one or more relationships, generating a graphical connector object between connected graphical data set objects, and outputting the connected graphical data set objects with corresponding graphical connector objects and the unconnected graphical data set objects.

Abstract: Provided are methods and systems comprising determining one or more relationships between a plurality of data sets, determining a score for each of the one or more relationships, generating a graphical data set object for each of the plurality of data sets, classifying each graphical data set object as connected or unconnected based on the score for each of the one or more relationships, generating a graphical connector object between connected graphical data set objects, and outputting the connected graphical data set objects with corresponding graphical connector objects and the unconnected graphical data set objects.

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 and systems comprising receiving a data set comprising a plurality of records having a plurality of fields, displaying a plurality of graphical objects representing the plurality of records, receiving a selection of one or more of the plurality of fields, determining, based on the selected one or more of the plurality of fields, a similarity score between each of the records of the plurality of records, and adjusting, based on the similarity scores, the plurality of graphical objects.

Abstract: Provided are methods and systems comprising receiving a data set comprising a plurality of records having a plurality of fields, displaying a plurality of graphical objects representing the plurality of records, receiving a selection of one or more of the plurality of fields, determining, based on the selected one or more of the plurality of fields, a similarity score between each of the records of the plurality of records, and adjusting, based on the similarity scores, the plurality of graphical objects.

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: In an aspect, provided is a method comprising monitoring one or more data analysis sessions, determining, based on the monitoring, a common data analysis technique performed across common data analysis sessions, identifying the common data analysis technique as a precedent, and providing the precedent to a precedent engine.

Abstract: In an aspect, provided is a method comprising monitoring one or more data analysis sessions, determining, based on the monitoring, a common data analysis technique performed across common data analysis sessions, identifying the common data analysis technique as a precedent, and providing the precedent to a precedent engine.

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: Systems and methods for data management are disclosed. One method can comprise defining a plurality of data tables, wherein one or more of the data tables comprises a data field, loading a first data table of the plurality of data tables in a first memory, wherein one or more data fields of the first data table is associated with a second data table of the plurality of data tables, and wherein the second data table is resident in a second memory, and presenting a visualization of the first data table and the second data table.

Abstract: In an aspect, provided is a method comprising monitoring one or more data analysis sessions, determining, based on the monitoring, a common data analysis technique performed across common data analysis sessions, identifying the common data analysis technique as a precedent, and providing the precedent to a precedent engine.

Abstract: Provided are methods and systems comprising d receiving a data set comprising a plurality of records having a plurality of fields, displaying a plurality of graphical objects representing the plurality of records, receiving a selection of one or more of the plurality of fields, determining, based on the selected one or more of the plurality of fields, a similarity score between each of the records of the plurality of records, and adjusting, based on the similarity scores, the plurality of graphical objects.

Abstract: Provided are methods and systems comprising determining one or more relationships between a plurality of data sets, determining a score for each of the one or more relationships, generating a graphical data set object for each of the plurality of data sets, classifying each graphical data set object as connected or unconnected based on the score for each of the one or more relationships, generating a graphical connector object between connected graphical data set objects, and outputting the connected graphical data set objects with corresponding graphical connector objects and the unconnected graphical data set objects.

Abstract: Systems and methods for data management are disclosed. One method can comprise defining a plurality of data tables, wherein one or more of the data tables comprises a data field, loading a first data table of the plurality of data tables in a first memory, wherein one or more data fields of the first data table is associated with a second data table of the plurality of data tables, and wherein the second data table is resident in a second memory, and presenting a visualization of the first data table and the second data table.