Abstract: Systems and methods for data analytics include retrieving a first data model that includes a first set of one or more entities. A respective entity of the first set of one or more entities relates to a data subset of a first set of one or more databases, and corresponds to a metric, a dimension, or a filter. Based on the first data model, a training set is generated for training a first agent. The first agent is configured to respond to user input queries formulated in natural language. The training set for training the first agent includes a plurality of sample requests, and a plurality of database queries for the one or more databases. At least one respective database query of the plurality of database queries corresponds to at least one respective sample request of the plurality of sample requests.

Abstract: A data analytics system comprises a data source configured to store a plurality of data sets. A dialog manager generates a context-based data query responsive to identifying a context of a natural language query based, at least in part, on a prior natural language query within a conversation. An analytics engine is configured to run queries on the data source responsive to the context-based data query and then generate an output result. The dialog manager generates an interactive data visualization of the output result with a prompt for a follow-up query on the data source. The prompt for the follow-up query is related to the context of the natural language query.