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

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

Blog Article

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 Trinket Dish used case studies to showcase the de facto standard enterprise architecture for financial companies and examined how Hayward SP0704 Valve Parts 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.