Books

	Case Studies in Performance Management: A Guide from the Experts by Tony C. Adkins A compilation of eight case studies in Activity-Based Costing (ABC) and Performance Management (PM), with a foreword from Gary Cokins about their tie into a PM framework, Case Studies in Performance Management features contributions from an anonymous perspective to respect the customer's confidentiality with follow-up reports on their success and/or failure. Each section includes a foreword and review of the case study by an industry expert, prominent performance management author, or consultant. The case studies fall into a variety of industries including finance, life sciences, retail and the public sector.
	Performance Management: Finding the Missing Pieces to Close the Intelligence Gap by Gary Cokins This book emphasizes that the analytical tools (e.g., balanced scorecard, activity-based management, etc.) that now exist have been tested and are mature, and that their integration is now the big opportunity. This means not just information technology systems integration but the integration of "thinking" (i.e., most corporations are missing a mechanism to test and validate whether lofty goals can realistically be achieved). This book shows how performance management is that mechanism and that it helps corporations to "actively" manage change.
	Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring by Naeem Siddiqi This book presents a business-focused process built on a solid foundation of statistic and data mining principles for the development and implementation of risk prediction scorecards. It describes how risk scorecards can be a powerful tool for risk managers who need to improve the bottom line in their organizations as well as how they can develop and implement these scorecards using internal resources. The book contains the following sections: Scorecard Development Roles, Scorecard Development and Implementation Process Overview, Scorecard Development Process, Scorecard Implementation, and Post Implementation. This book is part of the Wiley/SAS Business Series.
	Using SAS in Financial Research by Ekkehart Boehmer, John Broussard and Juha Pekka Kallunki Researchers, graduate students, and practitioners in the financial market now have the first reference-style handbook detailing the mechanics of statistical testing on financial and accounting data. This one-of-a-kind book illustrates how to use SAS software to conduct basic empirical analyses of stock market and financial statement data. It covers various research topics, including investigating the predictability of stock returns, estimating the risk of common stock, and analyzing the impact of earnings and other financial statement information. The use of the SAS language to investigate these issues is demonstrated with numerous real-world examples employing traditional to state-of-the-art analytical estimation techniques.

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