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Financial Institution Advantage And The Optimization Of Information Processing Hardback - 2015
by Sean C. Keenan
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Details
- Title Financial Institution Advantage And The Optimization Of Information Processing
- Author Sean C. Keenan
- Binding Hardback
- Edition INTERNATIONAL ED
- Condition New
- Pages 224
- Volumes 1
- Language ENG
- Publisher Wiley
- Publication date 2015-03
- Features Bibliography, Index
- Bookseller's Inventory # 22000240-n
- ISBN 9781119044178 / 1119044170
- Weight 0.88 lbs (0.40 kg)
- Dimensions 9 x 6.1 x 1.1 in (22.86 x 15.49 x 2.79 cm)
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Themes
- Aspects (Academic): Business Aspects
- Category Business / Economics / Finance
- Library of Congress subjects Financial institutions - Management, Financial services industry - Data processing
- Library of Congress Catalogue Number 2014041589
- Dewey Decimal Code 332.102
- Quantity available 5
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From the publisher
From the jacket flap
Big data and advanced information processing techniques are changing the competitive landscape within the financial services industry. However, many institutions are not keeping pace with these changes and making the structural and infrastructural investments that would allow them to remain competitive going forward. Evolving regulatory requirements for the management of data, models, and information represent bare minima that many institutions struggle to meet. But beyond regulatory guidance and expectations, there are few guiding principles as to how to approach and harness these much-needed activities.
Filling a gap in the literature, Financial Institution Advantage and the Optimization of Information Processing gives managers and practitioners the much-needed guidelines, strategies, and tools to ensure that their institutions are armed with effective infrastructure design, data governance, and model risk management.
Written by Sean C. Keenan, an expert on the topic, this important resource shows how financial institutions that want to remain competitive need to focus assiduously on the more effective information processing as the core competency for the firm.
The author provides accessible resources to help put these activities in place. Step by step, Keenan explains the link between data architecture, data management, and analytics to improve financial performance and improve the overall risk/return profile of an organization.
