Big data innovations in enterprise information systems: strategies formation for new generation entrepreneurs

Big data’s inclusion into enterprise information systems (EIS) has transformed corporate strategies. Therefore, it supports data-driven innovation and decision-making. Focusing on methods that empower new-generation entrepreneurs, this paper integrates big data and entrepreneurship concepts. Leading authors, trending subjects, and domain-specific innovations are used to present the development of big data and EIS. Moreover, we show the useful application of big data by building a machine-learning model to forecast credit card defaulters. The model used a Culture Algorithm (CA) for feature selection and a K-nearest neighbour for classification. The model obtained 74.28% accuracy and an F1-score of 74.23%.