Intro -- Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World -- Copyright -- Contents -- Preface -- Acknowledgments -- About the Authors -- Chapter 1: Introduction -- The Monty Hall Problem -- Evolving Analytics -- The Business Relevance of Analytics -- The Role of Analytics in Innovation -- Innovation in a Changing World -- Summary -- Chapter 2: Unplanned Events, Heuristics, and the Randomness in Our World -- Heuristics Concepts -- Heuristics in Operations -- The Butterfly Effect -- Random Walks -- The Drunkard's Walk -- Probability and Chance -- Summary -- Chapter 3: The Heuristic Approach and Why We Use It -- Heuristics in Computing -- Heuristic Problem-Solving Methods -- Genetic Algorithms: A Formal Heuristic Approach -- Foundation of Genetic Algorithms -- Initialization -- Selection -- Reproduction -- Termination -- Pseudo-Code Algorithm -- Benefits of Genetic Algorithms -- Influences in Competitive Industries -- Genetic Algorithms Solving Business Problems -- Summary -- Chapter 4: The Analytical Approach -- Introduction to Analytical Modeling -- The Competitive-Intelligence Cycle -- Data -- Information -- Knowledge -- Intelligence -- Experience -- Summary -- Chapter 5: Knowledge Applications That Solve Business Problems -- Customer Behavior Segmentation -- Collection Models -- Insolvency Segmentation -- Collection Notice Recovery -- Anticipating Revenue from Collection Actions -- Insolvency Prevention -- Bad-Debt Classification -- Avoiding Taxes -- Fraud-Propensity Models -- New Fraud Detection -- Classifying Fraudulent Usage Behavior -- Summary -- Chapter 6: The Graph Analysis Approach -- Introduction to Graph Analysis -- Graphs Structures, Network Metrics, and Analyses Approaches -- Network Metrics -- Types of Subgraphs -- Summary -- Chapter 7: Graph Analysis Case Studies.

Case Study: Identifying Influencers in Telecommunications -- Background in Churn and Sales -- Internal Networks -- Customer Influence -- Customer Influence and Business Event Correlation -- Possible Business Applications and Final Figures in Churn and Sales -- Case Study: Claim Validity Detection in Motor Insurance -- Background in Insurance and Claims -- Network Definition -- Participant Networks -- Group Analysis -- Identifying Outliers -- Final Figures in Claims -- Visualizing for More Insight -- Final Figures in Insurance Exaggeration -- Case Study: Fraud Identification in Mobile Operations -- Background in Telecommunications Fraud -- Social Networks and Fraud -- Community Detection -- Finding the Outliers within Communities -- Rules and Thresholds for Community Outliers -- Fraudster Visualization -- Final Figures in Fraud -- Summary -- Chapter 8: Text Analytics -- Text Analytics in the Competitive-Intelligence Cycle -- Information Revisited -- Knowledge Revisited -- Linguistic Models -- Text-Mining Models -- Intelligence Revisited -- Experience Revisited -- Summary -- Bibliography -- Index.

Heuristics in Analytics A Practical Perspective of What Influences Our Analytical World In Heuristics in Analytics, renowned telecommunications experts Carlos Andre Reis Pinheiro and Fiona McNeill describe analytic processes and how they fit into the heuristic world around us. In spite of the strong heuristic characteristics of the analytical processes, Heuristics in Analytics emphasizes the need to have the proper tools to engage analytics and shows how to overcome heuristic characteristics through the use of mathematics and statistics. This straightforward book explores how important it is to properly consider the randomness and the heuristic characteristics in analytics and how crucial analytics are for companies and corporate environments. Drawing from the authors' years of expe­rience, Heuristics in Analytics looks at: Unplanned events, heuristics, and the randomness in our world The analytical approach The competitive intelligence cycle Knowledge applications that solve business problems Customer behavioral segmentation The graph analysis approach Packed with case studies on the entire analytical process using telecom and insurance companies based in Brazil and Ireland, Heuristics in Analytics provides CFOs, chief marketing officers, directors of marketing, and business managers with an insider guide to deploying mathematical and statistical models when performing analytics.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.