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Financial Institution Advantage and the Optimization of Information Processing

Financial Institution Advantage and the Optimization of Information Processing

Financial Institution Advantage and the Optimization of Information Processing
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Financial Institution Advantage and the Optimization of Information Processing Hardback - 2014

by Keenan, Sean C

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John Wiley & Sons Inc, 2014. Hardcover. New. 1st edition. 224 pages. 8.27x5.91x0.87 inches.
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Details

  • Title Financial Institution Advantage and the Optimization of Information Processing
  • Author Keenan, Sean C
  • Binding Hardback
  • Edition INTERNATIONAL ED
  • Condition New
  • Pages 224
  • Volumes 1
  • Language ENG
  • Publisher John Wiley & Sons Inc
  • Publication date 2014
  • Features Bibliography, Index
  • Bookseller's Inventory # __1119044170
  • 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)
  • 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 1

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Reader reviews for Financial Institution Advantage and the Optimization of Information Processing

From the publisher

A PROVEN APPROACH FOR CREATING and IMPLEMENTING EFFECTIVE GOVERNANCE for DATA and ANALYTICS

Financial Institution Advantage and the Optimization of Information Processing offers a key resource for understanding and implementing effective data governance practices and data modeling within financial organizations. Sean Keenan--a noted expert on the topic--outlines the strategic core competencies, includes best practices, and suggests a set of mechanisms for self-evaluation. He shows what it takes for an institution to evaluate its information processing capability and how to take the practical steps toward improving it.

Keenan outlines the strategies and tools needed for financial institutions to take charge and make the much-needed decisions to ensure that their firm's information processing assets are effectively designed, deployed, and utilized to meet the strict regulatory guidelines.

This important resource is filled with practical observations about how information assets can be actively and effectively managed to create competitive advantage and improved financial results. Financial Institution Advantage and the Optimization of Information Processing also includes a survey of case studies that highlight both the positive and less positive results that have stemmed from institutions either recognizing or failing to recognize the strategic importance of information processing capabilities.

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.

About the author

SEAN C. KEENAN, PHD, is Senior Managing Director-Model Risk Management at a leading international insurance organization. Prior to joining this organization, he was the Quantitative Risk Analytics Leader at GE Capital, Vice President in the Risk Architecture Group at Citigroup, Vice President at Moody's, and Senior Econometrician at Loan Pricing Corporation.

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