Abstract: Raw sensor data from a device of a user is collected. Trips from the sensor data are identified as raw trip data. Metadata for the trips is identified, linked to the trips, and maintained separately from the trip data. The trips are staged, and the corresponding trip data normalized when obtained from a storage or memory location. Normalized trip data is piped or made accessible to feature enhancing applications (apps), each app associating one or more features and events with a given trip. The features and events are maintained for the trips in event and feature level of detail tables. The tables are processed by consuming apps for purposes of updating user-level attributes associated with the user. In an embodiment, custom apps process the raw trip data to add additional features and events, which are directly integrated and updated in the tables for access by the consuming apps.