Abstract: Aspects of the present disclosure are directed to prediction models that match stored parameters to a new data analytics task. A data analytics task can refer to a task that analyzes and queries data sources to retrieve target data. Example parameters for a data analytics task include a task description, assigned individuals, relevant databases, relevant data tables, search queries, data table joins, etc. Implementations can store historical data analytics tasks and their task parameters. Prediction model(s) can be provided new data analytics task parameters and predict matching historical data analytics tasks for the new task. The matching data analytics tasks can then be analyzed to select data tables common among them, and the common data tables can be provided to a user. Implementations can also group additional parameters according to a selected common data table and provide the grouped additional parameters to the user.