Abstract: Disclosed is a method and system for classifying a plurality of customer accounts based on a recoverable amount from a customer account. The method includes receiving historical data of the customer account and a user input indicating a selection of a predictive analytics algorithm from a set of predictive analytics algorithms, and building a predictive data model by executing the predictive analytics algorithm on the historical data. The building includes computing a contact index for the customer account and a payment index for the customer account. The building further includes computing a recoverability index based on the contact index, the payment index, and the outstanding amount. The recoverability index denotes the recoverable amount. The method further includes classifying the customer account based on the recoverability index.

Abstract: The present disclosure in particular relates to data processing, and more particularly, to systems and methods for identifying and extracting an informative segment from data objects. In one embodiment, a system for facilitating identification of an informative segment from a data is provided. The system includes one or more processors; and a memory storing processor-executable instructions comprising instructions to generate a customized search query based on one or more input parameters, process the data to obtain a plurality of machine-readable data objects, obtain one or more approximate results corresponding to the informative segment based on the customize search query and the plurality of data objects, validate the one or more approximate results based on a comparison of the one or more approximate results and the data, and provide the validated one or more approximate result to identify the informative segment.