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 its most recent conferences: papers that illuminate exceptionally high-value applications and research on analytics for decision-making. These papers have appeared in no other DSI collection. Explore them here, and you'll discover powerful new opportunities for competitive advantage through analytics. For all business, academic, and organizational professionals concerned with the science of more effective decision-making; and for undergraduate students, graduate students, and certification candidates in all related fields.

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 -- An 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 -- The Simulation Model -- Analysis and Results -- Acknowledgment -- References -- About the Authors.