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2022 | OriginalPaper | Chapter

8. Data Science and Enterprise Risk–Return Management

Authors : Kannan Subramanian R, Dr. Sudheesh Kumar Kattumannil

Published in: Event- and Data-Centric Enterprise Risk-Adjusted Return Management

Publisher: Apress

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Abstract

Banks are beginning to move in the direction of managing their data as a science, realizing that the approach can support them in improving risk-adjusted returns. Bank management staff have to use their human capital to build and manage their enterprise knowledge management. Banks should consider the information technology team data providers. Data scientists play an important role in providing and improving risk-adjusted return methods, models, and techniques.

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previous chapter Enterprise Risk Data Management (A Subset of Enterprise Data Management)
next chapter Advanced Analytics and Knowledge Management
Footnotes
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Metadata
Title
Data Science and Enterprise Risk–Return Management
Authors
Kannan Subramanian R
Dr. Sudheesh Kumar Kattumannil
Copyright Year
2022
Publisher
Apress
Book
Event- and Data-Centric Enterprise Risk-Adjusted Return Management

Print ISBN: 978-1-4842-7439-2

Electronic ISBN: 978-1-4842-7440-8

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-1-4842-7440-8_8

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