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

Author : Mike Ebbers
Publisher : IBM Redbooks
ISBN 13 : 0738438847
Total Pages : 102 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Risk Scoring for a Loan Application on IBM System z: Running IBM SPSS Real-Time Analytics by : Mike Ebbers

Download or read book Risk Scoring for a Loan Application on IBM System z: Running IBM SPSS Real-Time Analytics written by Mike Ebbers and published by IBM Redbooks. This book was released on 2013-10-02 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Mike Ebbers
Publisher :
ISBN 13 :
Total Pages : 102 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Risk Scoring for a Loan Application on IBM System Z by : Mike Ebbers

Download or read book Risk Scoring for a Loan Application on IBM System Z written by Mike Ebbers and published by . This book was released on 2013 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Lydia Parziale
Publisher : IBM Redbooks
ISBN 13 : 0738441864
Total Pages : 218 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Enabling Real-time Analytics on IBM z Systems Platform by : Lydia Parziale

Download or read book Enabling Real-time Analytics on IBM z Systems Platform written by Lydia Parziale and published by IBM Redbooks. This book was released on 2016-08-08 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Bart Baesens
Publisher : John Wiley & Sons
ISBN 13 : 1119278287
Total Pages : 644 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Credit Risk Analytics by : Bart Baesens

Download or read book Credit Risk Analytics written by Bart Baesens and published by John Wiley & Sons. This book was released on 2016-09-19 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Credit Scoring for Risk Managers

Author : Elizabeth Mays
Publisher : CreateSpace
ISBN 13 : 9781450578967
Total Pages : 266 pages
Book Rating : 4.5/5 (789 download)

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Book Synopsis Credit Scoring for Risk Managers by : Elizabeth Mays

Download or read book Credit Scoring for Risk Managers written by Elizabeth Mays and published by CreateSpace. This book was released on 2011-02-03 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second edition of Credit Scoring For Risk Managers: The Handbook for Lenders. Like the first edition, it was written for bankers and other consumer lenders who need a clear understanding of how to use credit scoring effectively throughout the loan life cycle. In today's financial system, scoring is used by virtually all lenders for all types of consumer lending assets, making it vitally important that risk managers understand how to manage and monitor scores and how to set policies for their use. This edition is substantially different from the first edition published in 2004. The world's economies have been through a major financial crisis and severe recession and some have questioned the role and value of models and scores used by lenders in the years leading up to the U.S. housing collapse and economic downturn. We have devoted a significant portion of the book to topics relevant to ensuring scorecards are properly managed through volatile environments and controlling the risk of using credit scores for decision-making. Ten of the book's sixteen chapters are new. Many focus on scorecard management practices and on controlling model risk. Score management refers to all the activities model managers and users engage in after the scorecard is developed. These include setting proper lending policies to use in conjunction with the score, periodic back-testing and validation, and remediation of any issues that may arise related to scorecard performance. Chapter 4 takes the reader step by step through a scorecard development project and discusses best practices for managing and documenting scorecard projects to increase the transparency of the performance, assumptions and limitations of scoring models. The last three chapters are devoted to the important topic of score model governance. Chapter 14 describes how to design a model governance framework to ensure credit scoring models are properly developed, used and validated on an on-going basis. Chapter 15 is focused on model monitoring and back-testing and describes a set of reports lenders should create and review to ensure their scorecards are performing well. Independent review of risk models by a third-party model expert is an important part of sound model governance. In Chapter 16 we describe how to carry out a thorough independent model review. Other chapters focus on new material not covered in the previous edition including types of data that are used as predictive information in scores (Chapter 3), fair lending analysis of scorecards and the creation of adverse action reasons (Chapter 11), the use of scores as components of other models (Chapter 10), common scoring mistakes to avoid (Chapter 12) and the important topic of reject inference (Chapter 9).

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

Author : Whei-Jen Chen
Publisher : IBM Redbooks
ISBN 13 : 073844118X
Total Pages : 266 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Systems of Insight for Digital Transformation: Using IBM Operational Decision Manager Advanced and Predictive Analytics by : Whei-Jen Chen

Download or read book Systems of Insight for Digital Transformation: Using IBM Operational Decision Manager Advanced and Predictive Analytics written by Whei-Jen Chen and published by IBM Redbooks. This book was released on 2015-12-03 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Lydia Parziale
Publisher : IBM Redbooks
ISBN 13 : 0738414964
Total Pages : 144 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Apache Spark Implementation on IBM z/OS by : Lydia Parziale

Download or read book Apache Spark Implementation on IBM z/OS written by Lydia Parziale and published by IBM Redbooks. This book was released on 2016-08-13 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : IBM Client Center Montpellier
Publisher : IBM Redbooks
ISBN 13 : 0738455504
Total Pages : 82 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis Using IBM z/OS WLM to Measure Mobile and Other Workloads by : IBM Client Center Montpellier

Download or read book Using IBM z/OS WLM to Measure Mobile and Other Workloads written by IBM Client Center Montpellier and published by IBM Redbooks. This book was released on 2016-10-25 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Abdulkader Aljandali
Publisher : Springer
ISBN 13 : 3319455281
Total Pages : 190 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Quantitative Analysis and IBM® SPSS® Statistics by : Abdulkader Aljandali

Download or read book Quantitative Analysis and IBM® SPSS® Statistics written by Abdulkader Aljandali and published by Springer. This book was released on 2016-11-08 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

IBM SPSS by Example

Author : Alan C. Elliott
Publisher : SAGE Publications
ISBN 13 : 1483319040
Total Pages : 278 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis IBM SPSS by Example by : Alan C. Elliott

Download or read book IBM SPSS by Example written by Alan C. Elliott and published by SAGE Publications. This book was released on 2014-12-31 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining and Predictive Analytics

Author : Daniel T. Larose
Publisher : John Wiley & Sons
ISBN 13 : 1118868676
Total Pages : 827 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Mining and Predictive Analytics by : Daniel T. Larose

Download or read book Data Mining and Predictive Analytics written by Daniel T. Larose and published by John Wiley & Sons. This book was released on 2015-02-19 with total page 827 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Analysis in Management with SPSS Software

Author : J.P. Verma
Publisher : Springer Science & Business Media
ISBN 13 : 8132207866
Total Pages : 499 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Data Analysis in Management with SPSS Software by : J.P. Verma

Download or read book Data Analysis in Management with SPSS Software written by J.P. Verma and published by Springer Science & Business Media. This book was released on 2012-12-13 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Working Mother

Author :
Publisher :
ISBN 13 :
Total Pages : 228 pages
Book Rating : 4./5 ( download)

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Book Synopsis Working Mother by :

Download or read book Working Mother written by and published by . This book was released on 2000-10 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The magazine that helps career moms balance their personal and professional lives.

Working Mother

Author :
Publisher :
ISBN 13 :
Total Pages : 228 pages
Book Rating : 4./5 ( download)

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Book Synopsis Working Mother by :

The Coding Manual for Qualitative Researchers

Author : Johnny Saldana
Publisher : SAGE
ISBN 13 : 1446200124
Total Pages : 282 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis The Coding Manual for Qualitative Researchers by : Johnny Saldana

Download or read book The Coding Manual for Qualitative Researchers written by Johnny Saldana and published by SAGE. This book was released on 2009-02-19 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.

Analytics, Data Science, and Artificial Intelligence

Author : Ramesh Sharda
Publisher :
ISBN 13 : 9781292341552
Total Pages : 832 pages
Book Rating : 4.3/5 (415 download)

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Book Synopsis Analytics, Data Science, and Artificial Intelligence by : Ramesh Sharda

Download or read book Analytics, Data Science, and Artificial Intelligence written by Ramesh Sharda and published by . This book was released on 2020-03-06 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

Applied Predictive Analytics

Author : Dean Abbott
Publisher : John Wiley & Sons
ISBN 13 : 1118727967
Total Pages : 471 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Applied Predictive Analytics by : Dean Abbott

Download or read book Applied Predictive Analytics written by Dean Abbott and published by John Wiley & Sons. This book was released on 2014-04-14 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.