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

Reis Pinheiro, Carlos Andre; McNeill, Fiona

Couverture rigide

ISBN 10 : 1118347609 ISBN 13 : 9781118347607

Editeur : John Wiley & Sons Inc, 2014

A propos du livre

Présentation de l'éditeur :

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.

Quatrième de couverture :

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

Analytics is too often treated as a subject where the cleverness of computers generates the best answers. Fiona and Carlos return the focus to the cleverness of people, providing practical guidance about dealing with unknowns. Their text, with entertaining examples, puts the art back into the science of data mining.
Gordon S. Linoff, Founder, Data Miners, Inc., Author of Data Mining Techniques for Marketing, Sales, and Customer Relationship Management and Data Analysis Using SQL and Excel (Wiley)

With all the hype about big data, it s refreshing to find a book that discusses the practical aspects of analytics. Heuristics in Analytics makes a clear case for adding human experience and common sense to technology in order to solve real world business problems. Written in clear, non–mathematical language, the book explains how using heuristics together with analytics is often the fastest way to deliver decisions that are suitable for a specific use case, and quickly enough to fit the fast pace of business. The descriptions of heuristics concepts and guidance for how to use a heuristic approach to analytics should make this book a valuable addition to the manager s and practitioner s libraries.
Sue Feldman, Synthexis, Author of The Answer Machine

Heuristics in Analytics will provide patient readers with a second–to–none peek under the analytical tent. Analytics is no longer a black box as Dr. Pinheiro and Ms. McNeill describe with surgical precision processes associated with defining problems, describing scenarios, developing and deploying models and selecting appropriate tools and techniques. The case studies are powerful and illuminating. There is much truth talking in these pages.
Thornton May, Futurist & Author of The New Know: Innovation Powered by Analytics

À propos de cette édition

• Éditeur: John Wiley & Sons Inc
• Date d'édition: 2014
• ISBN 10: 1118347609
• ISBN 13: 9781118347607
• Reliure: Relié
• Nombre de pages: 256