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

Pinheiro, Carlos Andre Reis; Mcneill, Fiona

Rilegato

ISBN 10: 1118347609 ISBN 13: 9781118347607

Casa editrice: John Wiley & Sons Inc, 2014

Riassunto

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.

Su questo libro

Informazioni sull?autore

CARLOS ANDRE REIS PINHEIRO is Visiting Professor at KU Leuven, Belgium. He headed the Analytical Lab at Oi in Brazil, one of the largest telecommunications companies in Latin America. Pinheiro has conducted Postdoctoral Research at Katholieke Universiteit Leuven, Belgium, Université de Savoie, France and Dublin City University, Ireland. He holds a PhD in Engineering from Federal University of Rio de Janeiro, Brazil. He worked at Brazil Telecom for almost ten years and also accomplished postdoctoral research at IMPA, Brazil, one of the most prestigious mathematical institutions in the world. He has published several papers in international journals and conferences and has four books (all in Portuguese) that focus on the internet, database, web warehousing, and analytical intelligence. He is the author of Social Network Analysis in Telecommunications, published by Wiley.

FIONA McNEILL has applied analytics to business problems since she began her career in 1992 and has consistently helped companies benefit from strategic use of data and analytics. Throughout her career, she has been affiliated with data and technology companies, from information and survey providers, IBM Global Services and for over fifteen years, at SAS. McNeill has published in academic journals, conducted education seminars and presented at both academic and industry conferences over the course of her career. She holds an M.A. in Quantitative Behavioral Geography from McMaster University, and graduated cum laude with a B.Sc. in Bio-Physical Systems, University of Toronto.

Dalla quarta di copertina

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.

Dal risvolto di copertina interno

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.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 1118347609
• ISBN 13: 9781118347607
• Rilegatura: Copertina rigida
• Numero di pagine: 225
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile