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• W3199403520 abstract "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." @default.
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• W3199403520 date "2021-09-18" @default.
• W3199403520 modified "2023-09-26" @default.
• W3199403520 title "Data Science for Finance: Best-Suited Methods and Enterprise Architectures" @default.
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• W3199403520 doi "https://doi.org/10.3390/asi4030069" @default.
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