Abstract: Aspects of the present disclosure generally relate to systems and methods for data processing, and more specifically for classifying telematics data to identify gig driving associated with vehicle trips. In one implementation, a method may include the operations of segmenting a trip of a vehicle to yield multiple segments, generating, via a feature extraction component, one or more input features associated with each segment of the multiple segments based on input data indicating driving characteristics during the trip, determining, via a gig detection component, whether the trip is associated with gig driving based on the one or more input features associated with teach segment, and outputting an indication of whether the trip is associated with gig driving based on the determination.

Abstract: Systems and methods are disclosed that provide for evaluating merchant business intelligence information. In certain embodiments, a system is disclosed to aggregate data relating to one or more merchants, customers, and/or transactions into a first data repository. The systems and methods receive a first request from a first client device, the first request including a parameter identifying one or more categories. The systems and methods determine that the first request is compatible with a data repository. The systems and methods the aggregated data of the data repository according to the parameter. The systems and methods also provide to a client device the filtered aggregated data.