Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World (Wiley and SAS Business Series)

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9781118347607: Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World (Wiley and SAS Business Series)
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Employ heuristic adjustments for truly accurate analysis

Heuristics in Analytics presents an approach to analysisthat accounts for the randomness of business and the competitivemarketplace, creating a model that more accurately reflects thescenario at hand. With an emphasis on the importance of properanalytical tools, the book describes the analytical process fromexploratory analysis through model developments, to deployments andpossible outcomes. Beginning with an introduction to heuristicconcepts, readers will find heuristics applied to statistics andprobability, mathematics, stochastic, and artificial intelligencemodels, ending with the knowledge applications that solve businessproblems. Case studies illustrate the everyday application andimplication of the techniques presented, while the heuristicapproach is integrated into analytical modeling, graph analysis,text analytics, and more.

Robust analytics has become crucial in the corporateenvironment, and randomness plays an enormous role in business andthe competitive marketplace. Failing to account for randomness cansteer a model in an entirely wrong direction, negatively affectingthe final outcome and potentially devastating the bottom line.Heuristics in Analytics describes how the heuristiccharacteristics of analysis can be overcome with problem design,math and statistics, helping readers to:

  • Realize just how random the world is, and how unplanned eventscan affect analysis
  • Integrate heuristic and analytical approaches to modeling andproblem solving
  • Discover how graph analysis is applied in real-world scenariosaround the globe
  • Apply analytical knowledge to customer behavior, insolvencyprevention, fraud detection, and more
  • Understand how text analytics can be applied to increase thebusiness knowledge

Every single factor, no matter how large or how small, must betaken into account when modeling a scenario or event—even theunknowns. The presence or absence of even a single detail candramatically alter eventual outcomes. From raw data to finalreport, Heuristics in Analytics contains the informationanalysts need to improve accuracy, and ultimately, predictive, anddescriptive power.

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From the Back Cover:

Praise for Heuristics in Analytics: A Practical Perspectiveof What Influences Our Analytical World

“Analytics is too often treated as a subject where thecleverness of computers generates the best answers. Fiona andCarlos return the focus to the cleverness of people, providingpractical guidance about dealing with unknowns. Their text, withentertaining examples, puts the art back into the science of datamining.”
—Gordon S. Linoff, Founder, Data Miners, Inc., Authorof Data Mining Techniques for Marketing, Sales, and CustomerRelationship Management and Data Analysis Using SQL andExcel (Wiley)

“With all the hype about big data, it’s refreshingto find a book that discusses the practical aspects of analytics.Heuristics in Analytics makes a clear case for adding humanexperience and common sense to technology in order to solve realworld business problems. Written in clear, non-mathematicallanguage, the book explains how using heuristics together withanalytics is often the fastest way to deliver decisions that aresuitable for a specific use case, and quickly enough to fit thefast pace of business. The descriptions of heuristics concepts andguidance for how to use a heuristic approach to analytics shouldmake this book a valuable addition to the manager’s andpractitioner’s libraries.”
—Sue Feldman, Synthexis, Author of The AnswerMachine

Heuristics in Analytics will provide patientreaders with a second-to-none peek under the analytical tent.Analytics is no longer a ‘black box’ as Dr. Pinheiroand Ms. McNeill describe with surgical precision processesassociated with defining problems, describing scenarios, developingand deploying models and selecting appropriate tools andtechniques. The case studies are powerful and illuminating. Thereis much truth talking in these pages.”
—Thornton May, Futurist & Author of The NewKnow: Innovation Powered by Analytics

From the Inside Flap:

Heuristics in Analytics
A Practical Perspective of What Influences Our AnalyticalWorld

In Heuristics in Analytics, renowned telecommunicationsexperts Carlos Andre Reis Pinheiro and Fiona McNeill describeanalytic processes and how they fit into the heuristic world aroundus. In spite of the strong heuristic characteristics of theanalytical processes, Heuristics in Analytics emphasizes theneed to have the proper tools to engage analytics and shows how toovercome heuristic characteristics through the use of mathematicsand statistics.

This straightforward book explores how important it is toproperly consider the randomness and the heuristic characteristicsin analytics and how crucial analytics are for companies andcorporate environments. Drawing from the authors’ years ofexpe­rience, Heuristics in Analytics looks at:

  • Unplanned events, heuristics, and the randomness in ourworld
  • 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 usingtelecom and insurance companies based in Brazil and Ireland,Heuristics in Analytics provides CFOs, chief marketingofficers, directors of marketing, and business managers with aninsider guide to deploying mathematical and statistical models whenperforming analytics.

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Book Description John Wiley Sons Inc, United States, 2014. Hardback. Condition: New. 1. Auflage. Language: English . Brand New Book. Employ heuristic adjustments for truly accurate analysis Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical tools, the book describes the analytical process from exploratory analysis through model developments, to deployments and possible outcomes. Beginning with an introduction to heuristic concepts, readers will find heuristics applied to statistics and probability, mathematics, stochastic, and artificial intelligence models, ending with the knowledge applications that solve business problems. Case studies illustrate the everyday application and implication of the techniques presented, while the heuristic approach is integrated into analytical modeling, graph analysis, text analytics, and more. Robust analytics has become crucial in the corporate environment, and randomness plays an enormous role in business and the competitive marketplace. Failing to account for randomness can steer a model in an entirely wrong direction, negatively affecting the final outcome and potentially devastating the bottom line. Heuristics in Analytics describes how the heuristic characteristics of analysis can be overcome with problem design, math and statistics, helping readers to: * Realize just how random the world is, and how unplanned events can affect analysis * Integrate heuristic and analytical approaches to modeling and problem solving * Discover how graph analysis is applied in real-world scenarios around the globe * Apply analytical knowledge to customer behavior, insolvency prevention, fraud detection, and more * Understand how text analytics can be applied to increase the business knowledge Every single factor, no matter how large or how small, must be taken into account when modeling a scenario or event even the unknowns. The presence or absence of even a single detail can dramatically alter eventual outcomes. From raw data to final report, Heuristics in Analytics contains the information analysts need to improve accuracy, and ultimately, predictive, and descriptive power. Seller Inventory # AAH9781118347607

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Book Description John Wiley Sons Inc, United States, 2014. Hardback. Condition: New. 1. Auflage. Language: English . Brand New Book. Employ heuristic adjustments for truly accurate analysis Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical tools, the book describes the analytical process from exploratory analysis through model developments, to deployments and possible outcomes. Beginning with an introduction to heuristic concepts, readers will find heuristics applied to statistics and probability, mathematics, stochastic, and artificial intelligence models, ending with the knowledge applications that solve business problems. Case studies illustrate the everyday application and implication of the techniques presented, while the heuristic approach is integrated into analytical modeling, graph analysis, text analytics, and more. Robust analytics has become crucial in the corporate environment, and randomness plays an enormous role in business and the competitive marketplace. Failing to account for randomness can steer a model in an entirely wrong direction, negatively affecting the final outcome and potentially devastating the bottom line. Heuristics in Analytics describes how the heuristic characteristics of analysis can be overcome with problem design, math and statistics, helping readers to: * Realize just how random the world is, and how unplanned events can affect analysis * Integrate heuristic and analytical approaches to modeling and problem solving * Discover how graph analysis is applied in real-world scenarios around the globe * Apply analytical knowledge to customer behavior, insolvency prevention, fraud detection, and more * Understand how text analytics can be applied to increase the business knowledge Every single factor, no matter how large or how small, must be taken into account when modeling a scenario or event even the unknowns. The presence or absence of even a single detail can dramatically alter eventual outcomes. From raw data to final report, Heuristics in Analytics contains the information analysts need to improve accuracy, and ultimately, predictive, and descriptive power. Seller Inventory # AAH9781118347607

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