Feature Ideas

Allow users to make natural language queries and receive natural language responses in real time. Pre cursor to more advanced agentic interface

A predictive model for anomaly detection and potential fraud in areas such as consumer applications, credit and insurance transactions.

Machine learned process that tracks individual model status and then models the cumulative value generation for each client. For example understanding Forecast by Customer Segment or the effect of media optimisation on commercial forecasts.

Machine learned model that measures the effect of price and price testing on conversion at the consumer level.

Allows users to see a summary of Transforms in progress and their status

Currently you have to manually make every single extract which is super slow and prone to error, ideally you can select a connector and create all extracts available with meta (like schema, tables names, load methods etc.all setup without any manual intervention).