Jhonata Tirloni

Financial cooperatives constitute a dynamic ecosystem characterized by high-value, data-intensive innovation that generates substantial revenue. This paper examines the process of transferring a data science framework as a technological asset, using an illustrative case study centered on a member journey optimization project within a financial cooperative. The proposed framework builds on the Technology Package concept, integrating principles from intellectual property law, technology management, and business strategy. It demonstrates how aligning IP strategy with established technology transfer mechanisms can not only unlock new revenue streams but also foster intercooperation within the financial ecosystem.

This article details the construction and validation of the GolpeBR dataset, which was created from news articles and Reddit posts. Automated Python methods were used to extract and process the data, which was then annotated using the Deepseek-R1 LLM and the 5W1H methodology. A cybersecurity expert classified and validated the records, distinguishing between banking cybercrimes and unrelated crimes. For the dataset's validation, supervised learning algorithms were applied. It was found that models trained with data structured by the 5W1H methodology demonstrated better accuracy, reaching 0.83 for the Logistic Regression and Random Forest algorithms.