Heuristics in analytics a practical perspective of what influences our analytical world
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Hoboken, New Jersey
Wiley
[2014]
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| Schriftenreihe: | Wiley & SAS business series
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| 100 | 1 | |a Reis Pinheiro, Carlos Andre |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Heuristics in analytics |b a practical perspective of what influences our analytical world |c Carlos Andre Reis Pinheiro, Fiona McNeill |
| 264 | 1 | |a Hoboken, New Jersey |b Wiley |c [2014] | |
| 300 | |a 1 Online-Ressource (xxiv, 225 pages) | ||
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| 490 | 0 | |a Wiley & SAS business series | |
| 500 | |a Includes bibliographical references (pages 209-216) and index | ||
| 500 | |a 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. | ||
| 500 | |a 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. | ||
| 500 | |a 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.-- | ||
| 650 | 4 | |a Management / Statistical methods | |
| 650 | 4 | |a Decision making / Statistical methods | |
| 650 | 4 | |a Business planning / Statistical methods | |
| 650 | 4 | |a Heuristic algorithms | |
| 650 | 4 | |a System analysis | |
| 653 | |a Electronic books | ||
| 700 | 1 | |a McNeill, Fiona |e Sonstige |4 oth | |
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Datensatz im Suchindex
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|---|---|
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| author | Reis Pinheiro, Carlos Andre |
| author_facet | Reis Pinheiro, Carlos Andre |
| author_role | aut |
| author_sort | Reis Pinheiro, Carlos Andre |
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| dewey-full | 658.4/033 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/033 |
| dewey-search | 658.4/033 |
| dewey-sort | 3658.4 233 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:24:52Z |
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| isbn | 9781118420225 1118420225 9781118416747 1118416740 1118347609 9781118347607 |
| language | English |
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| spelling | Reis Pinheiro, Carlos Andre Verfasser aut Heuristics in analytics a practical perspective of what influences our analytical world Carlos Andre Reis Pinheiro, Fiona McNeill Hoboken, New Jersey Wiley [2014] 1 Online-Ressource (xxiv, 225 pages) txt rdacontent c rdamedia cr rdacarrier Wiley & SAS business series Includes bibliographical references (pages 209-216) and index 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.-- Management / Statistical methods Decision making / Statistical methods Business planning / Statistical methods Heuristic algorithms System analysis Electronic books McNeill, Fiona Sonstige oth https://onlinelibrary.wiley.com/doi/book/10.1002/9781118434260 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Reis Pinheiro, Carlos Andre Heuristics in analytics a practical perspective of what influences our analytical world Management / Statistical methods Decision making / Statistical methods Business planning / Statistical methods Heuristic algorithms System analysis |
| title | Heuristics in analytics a practical perspective of what influences our analytical world |
| title_auth | Heuristics in analytics a practical perspective of what influences our analytical world |
| title_exact_search | Heuristics in analytics a practical perspective of what influences our analytical world |
| title_full | Heuristics in analytics a practical perspective of what influences our analytical world Carlos Andre Reis Pinheiro, Fiona McNeill |
| title_fullStr | Heuristics in analytics a practical perspective of what influences our analytical world Carlos Andre Reis Pinheiro, Fiona McNeill |
| title_full_unstemmed | Heuristics in analytics a practical perspective of what influences our analytical world Carlos Andre Reis Pinheiro, Fiona McNeill |
| title_short | Heuristics in analytics |
| title_sort | heuristics in analytics a practical perspective of what influences our analytical world |
| title_sub | a practical perspective of what influences our analytical world |
| topic | Management / Statistical methods Decision making / Statistical methods Business planning / Statistical methods Heuristic algorithms System analysis |
| topic_facet | Management / Statistical methods Decision making / Statistical methods Business planning / Statistical methods Heuristic algorithms System analysis |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118434260 |
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