Analytics in a Big Data World E-Book

Bart Baesens

• Herausgeber: John Wiley & Sons
• Kategorie: Fachliteratur
• Serie: SAS Institute Inc
• Sprache: Englisch

Seitenzahl: 293

Veröffentlichungsjahr: 2014

Beschreibung

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. * Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics * Offers the results of research and the author's personal experience in banking, retail, and government * Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business * Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Leseprobe

Wiley & SAS Business Series

The Wiley & SAS Business Series presents books that help senior-level managers with their critical management decisions.

Titles in the Wiley & SAS Business Series include:

Activity-Based Management for Financial Institutions: Driving Bottom-Line Results

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Bank Fraud: Using Technology to Combat Losses

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Business Analytics for Customer Intelligence

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Business Analytics for Managers: Taking Business Intelligence beyond Reporting

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The Business Forecasting Deal: Exposing Bad Practices and Providing Practical Solutions

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Business Intelligence Applied: Implementing an Effective Information and Communications Technology Infrastructure

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Business Intelligence in the Cloud: Strategic Implementation Guide

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Business Intelligence Success Factors: Tools for Aligning Your Business in the Global Economy

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CIO Best Practices: Enabling Strategic Value with Information Technology,

second edition by Joe Stenzel

Connecting Organizational Silos: Taking Knowledge Flow Management to the Next Level with Social Media

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Credit Risk Assessment: The New Lending System for Borrowers, Lenders, and Investors

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Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring

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The Data Asset: How Smart Companies Govern Their Data for Business Success

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Delivering Business Analytics: Practical Guidelines for Best Practice

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Demand-Driven Forecasting: A Structured Approach to Forecasting,

Second Edition by Charles Chase

Demand-Driven Inventory Optimization and Replenishment: Creating a More Efficient Supply Chain

by Robert A. Davis

The Executive's Guide to Enterprise Social Media Strategy: How Social Networks Are Radically Transforming Your Business

by David Thomas and Mike Barlow

Economic and Business Forecasting: Analyzing and Interpreting Econometric Results

by John Silvia, Azhar Iqbal, Kaylyn Swankoski, Sarah Watt, and Sam Bullard

Executive's Guide to Solvency II

by David Buckham, Jason Wahl, and Stuart Rose

Fair Lending Compliance: Intelligence and Implications for Credit Risk Management

by Clark R. Abrahams and Mingyuan Zhang

Foreign Currency Financial Reporting from Euros to Yen to Yuan: A Guide to Fundamental Concepts and Practical Applications

by Robert Rowan

Health Analytics: Gaining the Insights to Transform Health Care

by Jason Burke

Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World

by Carlos Andre Reis Pinheiro and Fiona McNeill

Human Capital Analytics: How to Harness the Potential of Your Organization's Greatest Asset

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Implement, Improve and Expand Your Statewide Longitudinal Data System: Creating a Culture of Data in Education

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Information Revolution: Using the Information Evolution Model to Grow Your Business

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Killer Analytics: Top 20 Metrics Missing from Your Balance Sheet

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Manufacturing Best Practices: Optimizing Productivity and Product Quality

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Marketing Automation: Practical Steps to More Effective Direct Marketing

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Mastering Organizational Knowledge Flow: How to Make Knowledge Sharing Work

by Frank Leistner

The New Know: Innovation Powered by Analytics

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Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics

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Predictive Business Analytics: Forward-Looking Capabilities to Improve Business Performance

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Social Network Analysis in Telecommunications

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Statistical Thinking: Improving Business Performance,

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Too Big to Ignore: The Business Case for Big Data

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The Value of Business Analytics: Identifying the Path to Profitability

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For more information on any of the above titles, please visit www.wiley.com.

Analytics in a Big Data World

The Essential Guide to Data Science and Its Applications

Bart Baesens

Cover image: ©iStockphoto/vlastos Cover design: Wiley

Copyright © 2014 by Bart Baesens. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada.

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, [phone], fax [phone], or on the Web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, [phone], fax [phone], or online at http://www.wiley.com/go/permissions.

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Library of Congress Cataloging-in-Publication Data:Baesens, Bart.     Analytics in a big data world : the essential guide to data science and its applications / Bart Baesens.        1 online resource. — (Wiley & SAS business series)     Description based on print version record and CIP data provided by publisher; resource not viewed.   ISBN 978-1-118-89271-8 (ebk); ISBN 978-1-118-89274-9 (ebk); ISBN 978-1-118-89270-1 (cloth) 1. Big data. 2. Management—Statistical methods. 3. Management—Data processing. 4. Decision making—Data processing. I. Title.     HD30.215 658.4′038   dc23

2014004728

To my wonderful wife, Katrien, and my kids, Ann-Sophie, Victor, and Hannelore. To my parents and parents-in-law.

Contents

Preface

Acknowledgments

Chapter 1 Big Data and Analytics

Example Applications

Basic Nomenclature

Analytics Process Model

Job Profiles Involved

Analytics

Analytical Model Requirements

Notes

Chapter 2 Data Collection, Sampling, and Preprocessing

Types of Data Sources

Sampling

Types of Data Elements

Visual Data Exploration and Exploratory Statistical Analysis

Missing Values

Outlier Detection and Treatment

Standardizing Data

Categorization

Weights of Evidence Coding

Variable Selection

Segmentation

Notes

Chapter 3 Predictive Analytics

Target Definition

Linear Regression

Logistic Regression

Decision Trees

Neural Networks

Support Vector Machines

Ensemble Methods

Multiclass Classification Techniques

Evaluating Predictive Models

Notes

Chapter 4 Descriptive Analytics

Association Rules

Sequence Rules

Segmentation

Notes

Chapter 5 Survival Analysis

Survival Analysis Measurements

Kaplan Meier Analysis

Parametric Survival Analysis

Proportional Hazards Regression

Extensions of Survival Analysis Models

Evaluating Survival Analysis Models

Notes

Chapter 6 Social Network Analytics 

Social Network Definitions

Social Network Metrics

Social Network Learning

Relational Neighbor Classifier

Probabilistic Relational Neighbor Classifier

Relational Logistic Regression

Collective Inferencing

Egonets

Bigraphs

Notes

Chapter 7 Analytics: Putting It All to Work 

Backtesting Analytical Models

Benchmarking

Data Quality

Software

Privacy

Model Design and Documentation

Corporate Governance

Notes

Chapter 8 Example Applications

Credit Risk Modeling

Fraud Detection

Net Lift Response Modeling

Churn Prediction

Recommender Systems

Web Analytics

Social Media Analytics

Business Process Analytics

Notes

About the Author

Index

End User License Agreement

List of Tables

Chapter 1

Table 1.1

Chapter 2

Table 2.1

Table 2.2

Table 2.3

Table 2.4

Table 2.5

Table 2.6

Table 2.7

Table 2.8

Table 2.9

Table 2.10

Table 2.11

Chapter 3

Table 3.1

Table 3.2

Table 3.3

Table 3.4

Table 3.5

Table 3.6

Chapter 4

Table 4.1

Table 4.2

Table 4.3

Table 4.4

Chapter 6

Table 6.1

Table 6.2

Table 6.3

Chapter 7

Table 7.1

Table 7.2

Table 7.3

Table 7.4

Table 7.5

Table 7.6

Table 7.7

Table 7.8

Table 7.9

Table 7.10

Table 7.11

Table 7.12

Chapter 8

Table 8.1

Table 8.2

Table 8.3

Table 8.4

List of Illustrations

Chapter 1

Figure 1.1 Results from a KDnuggets Poll about Largest Data Sets Analyzed

Figure 1.2 The Analytics Process Model

Figure 1.3 Example of Classification Predictive Analytics

Chapter 2

Figure 2.1 The Reject Inference Problem in Credit Scoring

Figure 2.2 Pie Charts for Exploratory Data Analysis