{"product_id":"financial-institution-advantage-and-the-optimization-of-information-processing-isbn-9781119044178","title":"Financial Institution Advantage and the Optimization of Information Processing","description":"\u003cp\u003e\u003cb\u003eA PROVEN APPROACH FOR CREATING \u003ci\u003eand\u003c\/i\u003e IMPLEMENTING EFFECTIVE GOVERNANCE \u003ci\u003efor\u003c\/i\u003e DATA \u003ci\u003eand\u003c\/i\u003e ANALYTICS\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eFinancial Institution Advantage and the Optimization of Information Processing\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eKeenan 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.\u003c\/p\u003e 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. \u003ci\u003eFinancial Institution Advantage and the Optimization of Information Processing\u003c\/i\u003e 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.  \u003cp\u003eIntroduction ix\u003c\/p\u003e \u003cp\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Financial Institutions as Information Processors 1\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e Financial Institutions’ Raison d’Être 1\u003c\/p\u003e \u003cp\u003eCultural Issues 6\u003c\/p\u003e \u003cp\u003eIT Literacy and the Spreadsheet Deluge 13\u003c\/p\u003e \u003cp\u003eOther Challenges to Establishing an IT-Savvy Culture 19\u003c\/p\u003e \u003cp\u003eNotes 25\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Strategic Hardware and Software Management 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 27\u003c\/p\u003e \u003cp\u003eAn Integrated Data Architecture 41\u003c\/p\u003e \u003cp\u003eInformation Processing Efficiency as an Institutional Objective 52\u003c\/p\u003e \u003cp\u003eA Digression on Unstructured Data 58\u003c\/p\u003e \u003cp\u003eNotes 60\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Data, Models, and Information 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eModel Risk Mania 61\u003c\/p\u003e \u003cp\u003eDefinitions and Epistemology 69\u003c\/p\u003e \u003cp\u003eData Quality 73\u003c\/p\u003e \u003cp\u003eModels and Their Role 79\u003c\/p\u003e \u003cp\u003eRegulatory Regimes and Guidance 88\u003c\/p\u003e \u003cp\u003eNotes 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Model Risk Measurement 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThree Phases of Model Management 102\u003c\/p\u003e \u003cp\u003eModel Governance 103\u003c\/p\u003e \u003cp\u003eDefining Model Risk 105\u003c\/p\u003e \u003cp\u003eObjectifying the Downside 108\u003c\/p\u003e \u003cp\u003eModel Risk Attribution: An Information Entropy Approach 121\u003c\/p\u003e \u003cp\u003eNotes 126\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 The Return on Analytic Assets 127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMeasuring the Productivity of Models 128\u003c\/p\u003e \u003cp\u003eComplementarity of Data Inflow with Information Processing 132\u003c\/p\u003e \u003cp\u003eA Digression on Price Taking 134\u003c\/p\u003e \u003cp\u003eNotes 135\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Data Risk Measurement 137\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStrategic Data Acquisition 139\u003c\/p\u003e \u003cp\u003eThe Information Conversion Rate 140\u003c\/p\u003e \u003cp\u003eOther Approaches for Data Risk Assessment 142\u003c\/p\u003e \u003cp\u003eNotes 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 A Higher Level of Integration 145\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAlternate Views of Integration 146\u003c\/p\u003e \u003cp\u003eIdentifying Key Information Cycles 146\u003c\/p\u003e \u003cp\u003eAn Integrated Physical View 149\u003c\/p\u003e \u003cp\u003eMultidimensional Information Asset Management 151\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 A Strategy for Optimizing the Information Processing Complex 155\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEvaluation 156\u003c\/p\u003e \u003cp\u003eA Path toward Improvement 160\u003c\/p\u003e \u003cp\u003eNotes 167\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Case Studies 169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Pricing of Automobile Insurance 170\u003c\/p\u003e \u003cp\u003eMoody’s KMV 174\u003c\/p\u003e \u003cp\u003eThe London Whale 177\u003c\/p\u003e \u003cp\u003eThe Mortgage-Backed Securities Disaster 178\u003c\/p\u003e \u003cp\u003eThe Value of Annuities 180\u003c\/p\u003e \u003cp\u003eNotes 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Conclusions 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReferences 189\u003c\/p\u003e \u003cp\u003eAbout the Author 193\u003c\/p\u003e \u003cp\u003eIndex 195\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eSEAN C. KEENAN, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e 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.\u003c\/p\u003e  \u003cp\u003eBig 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.\u003c\/p\u003e \u003cp\u003eFilling a gap in the literature, \u003ci\u003eFinancial Institution Advantage and the Optimization of Information Processing\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eWritten 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.\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eA PROVEN APPROACH FOR CREATING \u003ci\u003eand\u003c\/i\u003e IMPLEMENTING EFFECTIVE GOVERNANCE \u003ci\u003efor\u003c\/i\u003e DATA \u003ci\u003eand\u003c\/i\u003e ANALYTICS\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003e\"Nearly every month, the media report cases of major blunders by financial institutions in trading, reporting of financial information, and mishandling of customer information, or censure from a regulator caused by a failure in data management or information processing.\"\u003c\/i\u003e\u003cbr\u003e \u003cb\u003e—From the Introduction\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eFinancial Institution Advantage and the Optimization of Information Processing\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eKeenan 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.\u003c\/p\u003e \u003cp\u003eThis 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. \u003ci\u003eFinancial Institution Advantage and the Optimization of Information Processing\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989210382565,"sku":"NP9781119044178","price":65.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119044178.jpg?v=1761783220","url":"https:\/\/k12savings.com\/es\/products\/financial-institution-advantage-and-the-optimization-of-information-processing-isbn-9781119044178","provider":"K12savings","version":"1.0","type":"link"}