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Inicio  /  Applied System Innovation  /  Vol: 4 Par: 3 (2021)  /  Artículo
ARTÍCULO
TITULO

Data Science for Finance: Best-Suited Methods and Enterprise Architectures

Galena Pisoni    
Bálint Molnár and Ádám Tarcsi    

Resumen

We live in an era of big data. Large volumes of complex and difficult-to-analyze data exist in a variety of industries, including the financial sector. In this paper, we investigate the role of big data in enterprise and technology architectures for financial services. We followed a two-step qualitative process for this. First, using a qualitative literature review and desk research, we analyzed and present the data science tools and methods financial companies use; second, we used case studies to showcase the de facto standard enterprise architecture for financial companies and examined how the data lakes and data warehouses play a central role in a data-driven financial company. We additionally discuss the role of knowledge management and the customer in the implementation of such an enterprise architecture in a financial company. The emerging technological approaches offer opportunities for finance companies to plan and develop additional services as presented in this paper.

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