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• Title:The best thinking in business analytics from the Decision Sciences Institute / Decision Sciences Institute ; edited by Merrill Warkentin.
  
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• Other Contributors/Collections:Warkentin, Merrill, editor.
  Decision Sciences Institute, issuing body.
  
• Published/Created:Upper Saddle River, New Jersey Decision Sciences Institute, [2016]
  

• Holdings

  Holdings Record Display

  • Location:DAVID LAM LIBRARY stacksWhere is this?
    
  • Call Number: HD30.23 .B47 2016
    
  • Number of Items:1
    
  • Status:Available
    
  • Links:Donor bookplate
    

   
• Library of Congress Subjects:Decision making--Statistical methods.
  Decision making--Data processing.
  Data mining.
  Commercial statistics.
  
• Medical Subjects: Data Mining
  
• Description:xv, 270 pages : illustrations ; 24 cm
  
• Summary:Today, business success depends on making great decisions and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making. In The Best Thinking and Practices in Business Analytics from the Decision Sciences Institute, DSI has compiled award-winning and award-nominated contributions from tis most recent conferences - papers that illuminate exceptionally high-value applications and research on analytics for decision making. Topics covered in this collection include: predicting customer response and demand behavior; optimizing the accuracy of credit scoring; forecasting stock index and gold prices; choosing suppliers, carriers, and facility locations; implementing more efficient transportation networks; and much more. These papers have appeared in no other DSI collection and offer exceptional value for all business, academic, and organizational professionals concerned with the science of decision making. Explore them here, and you'll discover powerful new opportunities for competitive advantage through analytics. -- from dust jacket.
  
• Notes:Includes bibliographical references and index.
  
• ISBN:0134072952
  9780134072951 hardcover
  
• Contents:Machine generated contents note: Abstract
  Introduction
  Preliminaries
  Delivery Time
  Customer Response Model
  Delivery Time Models
  Numerical Example
  Concluding Remarks
  References
  About the Authors
  Abstract
  Introduction
  Understanding Data Quality
  Statistical Monitoring of Data Quality Using Control Charts
  Example of Controlling Data Quality with Statistical Process Control
  Propositions for Research and Practice
  Conclusion
  References
  About the Authors
  Abstract
  Introduction
  Theoretical Background and Hypothesis Development
  Hypothesis Development
  Research Method
  Hypotheses Testing
  Discussion of Results
  Limitations/Implications/Contributions
  Future Research
  Conclusions
  References
  About the Authors
  Appendix A: Cognitive Reflection Test (CRT)
  Appendix B: Base Rate Fallacy
  Abstract
  Introduction
  Data and Methodologies
  Results
  Summary
  References
  About the Author
  Abstract
  Introduction
  Credit Scoring Using a Neural Network Ensemble
  Experimental Results
  Conclusion
  References
  About the Author
  Abstract
  Introduction
  Datasets and Calculations
  Random Walk Simulations and Forecasts
  Pattern Forecasts
  Neural Network Forecasts
  Decision Tree Forecasts
  Comparison of Methodologies and Summary
  References
  About the Authors
  Abstract
  Introduction
  Literature Review
  Research Methodology
  Sample and Dataset
  Results
  Conclusions
  References
  About the Authors
  Appendix
  Abstract
  Introduction
  Literature Review, Propositions, and Theoretical Model Development
  Methods and Data
  Discussion and Conclusions
  Future Directions and Limitations
  About the Authors
  References
  Abstract
  Introduction
  Literature Review
  Triangular Fuzzy Numbers
  Research Method
  Data Analysis
  Discussion and Conclusions
  References
  About the Authors
  Abstract
  Introduction
  Problem Statement
  Agent-Based Simulation Methodology in Distribution and Supply Chain Management
  Model Development
  Results and Discussion
  Conclusions and Future Research
  References
  About the Authors
  Abstract
  Introduction
  Literature Review
  Model Description
  Numerical Study
  Conclusions and Extensions
  References
  About the Author
  Abstract
  Introduction
  Literature Review
  Croston's Method and Variations
  Simulation Study Description and Results
  Conclusions and Discussion
  References
  About the Authors
  Abstract
  Introduction
  Literature Review
  Network Configuration in Closed-Loop Supply Chains
  Decision Models for Supplier Evaluation and Selection
  Contributions of This Research
  Problem Formulation
  Multi-Objective Optimization Model
  Solution Methodology
  Computational Results
  Conclusions and Future Research
  References
  About the Author
  Abstract
  Analytics in Healthcare
  Preadmission Testing Process Description
  Problem Description
  Literature Review
  Simulation Model
  Analysis and Results
  Acknowledgment
  References
  About the Authors.