Heuristics in Analytics

A Practical Perspective of What Influences Our Analytical World

Business & Finance
Cover of the book Heuristics in Analytics by Carlos Andre Reis Pinheiro, Fiona McNeill, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Carlos Andre Reis Pinheiro, Fiona McNeill ISBN: 9781118416747
Publisher: Wiley Publication: January 31, 2014
Imprint: Wiley Language: English
Author: Carlos Andre Reis Pinheiro, Fiona McNeill
ISBN: 9781118416747
Publisher: Wiley
Publication: January 31, 2014
Imprint: Wiley
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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.

More books from Wiley

Cover of the book Decision Making in Natural Resource Management by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Stuff by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Brave New World Economy by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Industrial Product Design of Solids and Liquids by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Becoming an Interior Designer by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book From Inclusion to Engagement by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Digital Video Distribution in Broadband, Television, Mobile and Converged Networks by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Ozone in Food Processing by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book In Pursuit of Great AND Godly Leadership by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book What Happened in the Twentieth Century? by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Architecture and Governance for Communication Services by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Von Willebrand Disease by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Measuring ROI in Environment, Health, and Safety by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book Polymers and Electromagnetic Radiation by Carlos Andre Reis Pinheiro, Fiona McNeill
Cover of the book The Granularity of Growth by Carlos Andre Reis Pinheiro, Fiona McNeill
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy