Risk Scoring For A Loan Application On Ibm System Z Running Ibm Spss Real Time Analytics

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Risk Scoring for a Loan Application on IBM System z: Running IBM SPSS Real-Time Analytics

Mike Ebbers,Keith Doan,Andrew Flatt,IBM Redbooks
Risk Scoring for a Loan Application on IBM System z Running IBM SPSS Real Time Analytics Book PDF

Author : Mike Ebbers,Keith Doan,Andrew Flatt,IBM Redbooks
Publisher : IBM Redbooks
Page : 102 pages
File Size : 43,7 Mb
Release : 2013-10-02
Category : Computers
ISBN : 9780738438849

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Risk Scoring for a Loan Application on IBM System z: Running IBM SPSS Real-Time Analytics by Mike Ebbers,Keith Doan,Andrew Flatt,IBM Redbooks Pdf

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.

Risk Scoring for a Loan Application on IBM System Z

Mike Ebbers,Keith Doan,Andrew Flatt
Risk Scoring for a Loan Application on IBM System Z Book PDF

Author : Mike Ebbers,Keith Doan,Andrew Flatt
Publisher : Unknown
Page : 102 pages
File Size : 48,5 Mb
Release : 2013
Category : Data mining
ISBN : OCLC:1105765751

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Risk Scoring for a Loan Application on IBM System Z by Mike Ebbers,Keith Doan,Andrew Flatt Pdf

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.

Enabling Real-time Analytics on IBM z Systems Platform

Lydia Parziale,Oliver Benke,Willie Favero,Ravi Kumar,Steven LaFalce,Cedrine Madera,Sebastian Muszytowski,IBM Redbooks
Enabling Real time Analytics on IBM z Systems Platform Book PDF

Author : Lydia Parziale,Oliver Benke,Willie Favero,Ravi Kumar,Steven LaFalce,Cedrine Madera,Sebastian Muszytowski,IBM Redbooks
Publisher : IBM Redbooks
Page : 214 pages
File Size : 43,6 Mb
Release : 2016-08-08
Category : Computers
ISBN : 9780738441863

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Enabling Real-time Analytics on IBM z Systems Platform by Lydia Parziale,Oliver Benke,Willie Favero,Ravi Kumar,Steven LaFalce,Cedrine Madera,Sebastian Muszytowski,IBM Redbooks Pdf

Regarding online transaction processing (OLTP) workloads, IBM® z SystemsTM platform, with IBM DB2®, data sharing, Workload Manager (WLM), geoplex, and other high-end features, is the widely acknowledged leader. Most customers now integrate business analytics with OLTP by running, for example, scoring functions from transactional context for real-time analytics or by applying machine-learning algorithms on enterprise data that is kept on the mainframe. As a result, IBM adds investment so clients can keep the complete lifecycle for data analysis, modeling, and scoring on z Systems control in a cost-efficient way, keeping the qualities of services in availability, security, reliability that z Systems solutions offer. Because of the changed architecture and tighter integration, IBM has shown, in a customer proof-of-concept, that a particular client was able to achieve an orders-of-magnitude improvement in performance, allowing that client's data scientist to investigate the data in a more interactive process. Open technologies, such as Predictive Model Markup Language (PMML) can help customers update single components instead of being forced to replace everything at once. As a result, you have the possibility to combine your preferred tool for model generation (such as SAS Enterprise Miner or IBM SPSS® Modeler) with a different technology for model scoring (such as Zementis, a company focused on PMML scoring). IBM SPSS Modeler is a leading data mining workbench that can apply various algorithms in data preparation, cleansing, statistics, visualization, machine learning, and predictive analytics. It has over 20 years of experience and continued development, and is integrated with z Systems. With IBM DB2 Analytics Accelerator 5.1 and SPSS Modeler 17.1, the possibility exists to do the complete predictive model creation including data transformation within DB2 Analytics Accelerator. So, instead of moving the data to a distributed environment, algorithms can be pushed to the data, using cost-efficient DB2 Accelerator for the required resource-intensive operations. This IBM Redbooks® publication explains the overall z Systems architecture, how the components can be installed and customized, how the new IBM DB2 Analytics Accelerator loader can help efficient data loading for z Systems data and external data, how in-database transformation, in-database modeling, and in-transactional real-time scoring can be used, and what other related technologies are available. This book is intended for technical specialists and architects, and data scientists who want to use the technology on the z Systems platform. Most of the technologies described in this book require IBM DB2 for z/OS®. For acceleration of the data investigation, data transformation, and data modeling process, DB2 Analytics Accelerator is required. Most value can be achieved if most of the data already resides on z Systems platforms, although adding external data (like from social sources) poses no problem at all.

Credit Risk Analytics

Bart Baesens,Daniel Roesch,Harald Scheule
Credit Risk Analytics Book PDF

Author : Bart Baesens,Daniel Roesch,Harald Scheule
Publisher : John Wiley & Sons
Page : 670 pages
File Size : 40,6 Mb
Release : 2016-09-19
Category : Business & Economics
ISBN : 9781119278283

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Credit Risk Analytics by Bart Baesens,Daniel Roesch,Harald Scheule Pdf

The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.

Systems of Insight for Digital Transformation: Using IBM Operational Decision Manager Advanced and Predictive Analytics

Whei-Jen Chen,Rajeev Kamath,Alexander Kelly,Hector H. Diaz Lopez,Matthew Roberts,Yee Pin Yheng,IBM Redbooks
Systems of Insight for Digital Transformation Using IBM Operational Decision Manager Advanced and Predictive Analytics Book PDF

Author : Whei-Jen Chen,Rajeev Kamath,Alexander Kelly,Hector H. Diaz Lopez,Matthew Roberts,Yee Pin Yheng,IBM Redbooks
Publisher : IBM Redbooks
Page : 258 pages
File Size : 46,7 Mb
Release : 2015-12-03
Category : Computers
ISBN : 9780738441184

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Systems of Insight for Digital Transformation: Using IBM Operational Decision Manager Advanced and Predictive Analytics by Whei-Jen Chen,Rajeev Kamath,Alexander Kelly,Hector H. Diaz Lopez,Matthew Roberts,Yee Pin Yheng,IBM Redbooks Pdf

Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. IBM Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage, and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments. This IBM Redbooks® publication explains the key concepts of systems of insight and how to implement a system of insight solution with examples. It is intended for IT architects and professionals who are responsible for implementing a systems of insights solution requiring event-based context pattern detection and deterministic decision services to enhance other analytics solution components with IBM Operational Decision Manager Advanced.

Apache Spark Implementation on IBM z/OS

Lydia Parziale,Joe Bostian,Ravi Kumar,Ulrich Seelbach,Zhong Yu Ye,IBM Redbooks
Apache Spark Implementation on IBM z OS Book PDF

Author : Lydia Parziale,Joe Bostian,Ravi Kumar,Ulrich Seelbach,Zhong Yu Ye,IBM Redbooks
Publisher : IBM Redbooks
Page : 142 pages
File Size : 54,9 Mb
Release : 2016-08-13
Category : Computers
ISBN : 9780738414966

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Apache Spark Implementation on IBM z/OS by Lydia Parziale,Joe Bostian,Ravi Kumar,Ulrich Seelbach,Zhong Yu Ye,IBM Redbooks Pdf

The term big data refers to extremely large sets of data that are analyzed to reveal insights, such as patterns, trends, and associations. The algorithms that analyze this data to provide these insights must extract value from a wide range of data sources, including business data and live, streaming, social media data. However, the real value of these insights comes from their timeliness. Rapid delivery of insights enables anyone (not only data scientists) to make effective decisions, applying deep intelligence to every enterprise application. Apache Spark is an integrated analytics framework and runtime to accelerate and simplify algorithm development, depoyment, and realization of business insight from analytics. Apache Spark on IBM® z/OS® puts the open source engine, augmented with unique differentiated features, built specifically for data science, where big data resides. This IBM Redbooks® publication describes the installation and configuration of IBM z/OS Platform for Apache Spark for field teams and clients. Additionally, it includes examples of business analytics scenarios.

Using IBM z/OS WLM to Measure Mobile and Other Workloads

IBM Client Center Montpellier,Nigel Williams,Olivier Boehler,Philippe Bruschet,Francois Capristo,Alexis Chretienne,Stéphane Faure,Richard Gamblin,Fabrice Jarassat,Arnaud Mante,Irene Stahl,IBM Redbooks
Using IBM z OS WLM to Measure Mobile and Other Workloads Book PDF

Author : IBM Client Center Montpellier,Nigel Williams,Olivier Boehler,Philippe Bruschet,Francois Capristo,Alexis Chretienne,Stéphane Faure,Richard Gamblin,Fabrice Jarassat,Arnaud Mante,Irene Stahl,IBM Redbooks
Publisher : IBM Redbooks
Page : 78 pages
File Size : 44,9 Mb
Release : 2016-10-25
Category : Computers
ISBN : 9780738455501

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Using IBM z/OS WLM to Measure Mobile and Other Workloads by IBM Client Center Montpellier,Nigel Williams,Olivier Boehler,Philippe Bruschet,Francois Capristo,Alexis Chretienne,Stéphane Faure,Richard Gamblin,Fabrice Jarassat,Arnaud Mante,Irene Stahl,IBM Redbooks Pdf

This IBM® RedpaperTM publication discusses the need to monitor and measure different workloads, especially mobile workloads. It introduces the workload classification capabilities of IBM z SystemsTM platforms and helps you to understand how recent enhancements to IBM MVSTM Workload Management (WLM) and other IBM software products can be used to measure the processor cost of mobile workloads. This paper looks at how mobile-initiated and other transactions in IBM CICS®, IMSTM, DB2®, and WebSphere® Application Server can be "tagged and tracked" using WLM. For each of these subsystems, the options for classifying mobile requests and using WLM to measure mobile workloads are reviewed. A scenario is considered in which a bank is witnessing a significant growth in mobile initiated transactions, and wants to monitor and measure the mobile channels more closely. This paper outlines how the bank can use WLM to do this. This publication can help you to configure WLM mobile classification rules. It can also help you to interpret Workload Activity reports from IBM RMFTM Post Processor and to report on the CPU consumption of different workloads, including mobile and public cloud workloads.

Quantitative Analysis and IBM® SPSS® Statistics

Abdulkader Aljandali
Quantitative Analysis and IBM SPSS Statistics Book PDF

Author : Abdulkader Aljandali
Publisher : Springer
Page : 184 pages
File Size : 53,5 Mb
Release : 2016-11-08
Category : Business & Economics
ISBN : 9783319455280

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Quantitative Analysis and IBM® SPSS® Statistics by Abdulkader Aljandali Pdf

This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.

Data Analysis in Management with SPSS Software

J.P. Verma
Data Analysis in Management with SPSS Software Book PDF

Author : J.P. Verma
Publisher : Springer Science & Business Media
Page : 499 pages
File Size : 45,8 Mb
Release : 2012-12-13
Category : Social Science
ISBN : 9788132207863

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Data Analysis in Management with SPSS Software by J.P. Verma Pdf

This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.

Using IBM Operational Decision Manager: IMS COBOL BMP, COBOL DLIBATCH, and COBOL MPP

Fiona Crowther,Deepak Kohli,Axel Buecker,IBM Redbooks
Using IBM Operational Decision Manager IMS COBOL BMP COBOL DLIBATCH and COBOL MPP Book PDF

Author : Fiona Crowther,Deepak Kohli,Axel Buecker,IBM Redbooks
Publisher : IBM Redbooks
Page : 96 pages
File Size : 49,8 Mb
Release : 2013-06-06
Category : Computers
ISBN : 9780738451008

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Using IBM Operational Decision Manager: IMS COBOL BMP, COBOL DLIBATCH, and COBOL MPP by Fiona Crowther,Deepak Kohli,Axel Buecker,IBM Redbooks Pdf

IBM® Operational Decision Manager (ODM) is an implementation of a Business Rule Management System (BRMS). It enables you to create, manage, test, and govern business rules and events. You can store these in a central repository where multiple individuals and software products can access them. IBM ODM Version 8.0 provides support for IBM® IMSTM COBOL programs. This IBM RedpaperTM publication walks you through a step-by-step approach for using IBM ODM for rules management from an IMS COBOL MPP, BMP, or DL/IBATCH program.

IBM SPSS by Example

Alan C. Elliott,Wayne A. Woodward
IBM SPSS by Example Book PDF

Author : Alan C. Elliott,Wayne A. Woodward
Publisher : SAGE Publications
Page : 278 pages
File Size : 54,8 Mb
Release : 2014-12-31
Category : Social Science
ISBN : 9781483319049

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IBM SPSS by Example by Alan C. Elliott,Wayne A. Woodward Pdf

The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s "cut to the chase" IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.

Application of Intelligent Systems in Multi-modal Information Analytics

Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Application of Intelligent Systems in Multi modal Information Analytics Book PDF

Author : Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Publisher : Springer Nature
Page : 815 pages
File Size : 49,8 Mb
Release : 2020-07-23
Category : Technology & Engineering
ISBN : 9783030514310

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,Zheng Xu,Huiyu Zhou Pdf

This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field.

Data Mining and Predictive Analytics

Daniel T. Larose
Data Mining and Predictive Analytics Book PDF

Author : Daniel T. Larose
Publisher : John Wiley & Sons
Page : 824 pages
File Size : 43,9 Mb
Release : 2015-02-19
Category : Computers
ISBN : 9781118868676

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Data Mining and Predictive Analytics by Daniel T. Larose Pdf

Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.

IBM Bluemix The Cloud Platform for Creating and Delivering Applications

Raffaele Stifani,IBM Redbooks
IBM Bluemix The Cloud Platform for Creating and Delivering Applications Book PDF

Author : Raffaele Stifani,IBM Redbooks
Publisher : IBM Redbooks
Page : 104 pages
File Size : 48,9 Mb
Release : 2015-09-01
Category : Computers
ISBN : 9780738454429

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IBM Bluemix The Cloud Platform for Creating and Delivering Applications by Raffaele Stifani,IBM Redbooks Pdf

This IBM® RedpaperTM publication gives readers a broad understanding of IBM BluemixTM cloud application development platform capabilities. Providing a platform as a service (PaaS) environment as one of its run times, along with containers and virtual machines, Bluemix uses the Cloud Foundry project as one of its open source technologies to accelerate new application development and DevOps methods. It provides optimized and flexible workloads, enables continuous availability, and simplifies delivery and manageability of an application by providing prebuilt services and hosting capabilities. The paper reviews the Bluemix architecture, explains how it works, describes key concepts and components, and provides an overview of Bluemix security. It also covers the various Bluemix service categories and the services within each category. This information will help anyone who is interested in exploring the potential and capabilities of Bluemix and its services.

Solving Operational Business Intelligence with InfoSphere Warehouse Advanced Edition

Whei-Jen Chen,Pat Bates,Timothy Donovan,Garrett Fitzsimons,Jon Lind,Rogerio Silva,IBM Redbooks
Solving Operational Business Intelligence with InfoSphere Warehouse Advanced Edition Book PDF

Author : Whei-Jen Chen,Pat Bates,Timothy Donovan,Garrett Fitzsimons,Jon Lind,Rogerio Silva,IBM Redbooks
Publisher : IBM Redbooks
Page : 506 pages
File Size : 41,7 Mb
Release : 2012-10-02
Category : Computers
ISBN : 9780738437255

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Solving Operational Business Intelligence with InfoSphere Warehouse Advanced Edition by Whei-Jen Chen,Pat Bates,Timothy Donovan,Garrett Fitzsimons,Jon Lind,Rogerio Silva,IBM Redbooks Pdf

IBM® InfoSphere® Warehouse is the IBM flagship data warehouse platform for departmental data marts and enterprise data warehouses. It offers leading architecture, performance, backup, and recovery tools that help improve efficiency and reduce time to market through increased understanding of current data assets, while simplifying the daily operations of managing complex warehouse deployments. InfoSphere Warehouse Advanced Enterprise Edition delivers an enhanced set of database performance, management, and design tools. These tools assist companies in maintaining and increasing value from their warehouses, while helping to reduce the total cost of maintaining these complex environments. In this IBM Redbooks® publication we explain how you can build a business intelligence system with InfoSphere Warehouse Advanced Enterprise to manage and support daily business operations for an enterprise, to generate more income with lower cost. We describe the foundation of the business analytics, the Data Warehouse features and functions, and the solutions that can deliver immediate analytics solutions and help you drive better business outcomes. We show you how to use the advanced analytics of InfoSphere Warehouse Advanced Enterprise Edition and integrated tools for data modeling, mining, text analytics, and identifying and meeting the data latency requirements. We describe how the performance and storage optimization features can make building and managing a large data warehouse more affordable, and how they can help significantly reduce the cost of ownership. We also cover data lifecycle management and the key features of IBM Cognos® Business Intelligence. This book is intended for data warehouse professionals who are interested in gaining in-depth knowledge about the operational business intelligence solution for a data warehouse that the IBM InfoSphere Warehouse Advanced Enterprise Edition offers.