This IBM® Redbooks® publication series explains the assessment and implementation of a workload, integrated within IBM Smarter Banking® Showcase, and hosted at IBM Montpellier, France. Intended for decision-makers, consultants, architects, administrators, and specialists, this book is the second volume in a series of two: Assessment: Volume 1 (SG24-8007) describes how to evaluate the requirements of a new Smarter Analytics workload, addressing the user, system resources, and data processing profiles to identify the most optimal configuration by using IBM methodologies, such as fit-for-purpose. Given that the existing showcase is based on the IBM zEnterprise® System, deployment options include IBM z/OS®, Linux on IBM System z®, IBM AIX® running on IBM POWER® processor-based blades within the zEnterprise BladeCenter® Extension (zBX), and Windows Server 2008 running on System x® and BladeCenter blades also within zBX. Implementation: Volume 2 (SG24-8008), which you are reading, describes the setups that are involved in deploying the Smarter Analytics workload within the showcase. With multiple components, including IBM Cognos® BI, IBM Cognos TM1®, Cognos Metric Studio, IBM DB2® for z/OS, and a number of application design tools, the workload spans multiple operating environments. The use of application clustering, setting up performance policies by using Unified Resource Manager, and simulation test execution results are included.

Payment fraud can be defined as an intentional deception or misrepresentation that is designed to result in an unauthorized benefit. Fraud schemes are becoming more complex and difficult to identify. It is estimated that industries lose nearly $1 trillion USD annually because of fraud. The ideal solution is where you avoid making fraudulent payments without slowing down legitimate payments. This solution requires that you adopt a comprehensive fraud business architecture that applies predictive analytics. This IBM® Redbooks® publication begins with the business process flows of several industries, such as banking, property/casualty insurance, and tax revenue, where payment fraud is a significant problem. This book then shows how to incorporate technological advancements that help you move from a post-payment to pre-payment fraud detection architecture. Subsequent chapters describe a solution that is specific to the banking industry that can be easily extrapolated to other industries. This book describes the benefits of doing fraud detection on IBM System z®. This book is intended for financial decisionmakers, consultants, and architects, in addition to IT administrators.

When ricocheting a solution that involves analytics, the mainframe might not be the first platform that comes to mind. However, the IBM® System z® group has developed some innovative solutions that include the well-respected mainframe benefits. This book describes a workshop that demonstrates the use of real-time advanced analytics for enhancing core banking decisions using a loan origination example. The workshop is a live hands-on experience of the entire process from analytics modeling to deployment of real-time scoring services for use on IBM z/OS®. In this IBM Redbooks® publication, we include a facilitator guide chapter as well as a participant guide chapter. The facilitator guide includes information about the preparation, such as the needed material, resources, and steps to set up and run this workshop. The participant guide shows step-by-step the tasks for a successful learning experience. The goal of the first hands-on exercise is to learn how to use IBM SPSS® Modeler for Analytics modeling. This provides the basis for the next exercise "Configuring risk assessment in SPSS Decision Management". In the third exercise, the participant experiences how real-time scoring can be implemented on a System z. This publication is written for consultants, IT architects, and IT administrators who want to become familiar with SPSS and analytics solutions on the System z.

This IBM® Redbooks® publication is the first of two volumes explaining the approach and implementation of a new hybrid workload integrated in the existing IBM Smarter Banking® showcase, which is hosted at IBM in Montpellier, France. The volumes contain the following information. Volume 1 Assessment describes how to evaluate the requirements of a new IBM Smarter AnalyticsTM workload. It addresses the user, system resources, and data processing profiles to identify the optimal configuration using IBM methodologies, such as Fit for Purpose (F4P). Because the existing showcase is based on IBM zEnterprise®, the deployment options include IBM z/OS®, Linux on IBM System z®, IBM AIX® running on POWER7® blades within the zEnterprise BladeCenter® Extension (zBX), and Microsoft Windows 2008 Server running on Intel blades also within zBX. Volume 2 Implementation describes the steps involved in deploying the Smarter Analytics workload in the showcase. With multiple components, including IBM Cognos® 10.1 Business Intelligence, IBM Cognos TM1®, Cognos Metrics Studio, IBM SPSS®, IBM DB2® for z/OS, and many application design tools, the workload spans multiple operating environments. Application clustering, setting up performance policies using Unified Resource Manager, and simulation test execution results are included. This book is intended for an audience of professionals in an infrastructure architecture role. However, architects with a focus on business intelligence and analytics, as well as IT managers, will find value in reading this book. If you want to see this solution in action, contact your IBM representative or send an email directly to mopbcoe@fr.ibm.com.