Study goals
Investigate the opportunities and challenges that Analytics companies face in adapting to the growing demand for analyzing large volumes of financial data from banking transactions (big data)
Relevance / originality
The study reveals how Open Banking, integrated with big data and analytics, is redefining the financial ecosystem, driving innovation, new business models, and large-scale personalization, offering crucial strategic insights for the sector's digital transformation.
Methodology / approach
The research, of an applied and qualitative nature, was based on a bibliographic and documentary review, using content analysis according to Bardin to identify patterns and categories on the impacts of Open Banking and big data on Analytics companies.
Main results
The study highlights that Open Banking, big data, and analytics create new opportunities and challenges for fintechs, expanding innovation, personalization, and efficiency, but also requiring security, legal compliance, technological adaptation, and training for sustainable competitive advantage.
Theoretical / methodological contributions
The study contributes theoretically by offering an integrated conceptual basis on Open Banking, big data, and Analytics, articulating regulatory, technological, and strategic aspects, and highlighting their role as pillars of innovation and competitive advantage in the financial sector.
Social / management contributions
The study supports management by indicating how to leverage data for more assertive decisions, innovation, and financial inclusion, strengthening competitiveness and empowering consumers with personalized, secure, and LGPD-compliant services.