Information Systems and Analytics

Business managers have come to rely upon computer-generated information as a critical resource in the decision-making process. Bryant University recognizes the importance of information systems and analytics for all levels of management and provides a Information Systems and Analytics curriculum that is both challenging and relevant.

Faculty

Department Faculty

Adjunct Professors

Olinsky, Alan

Alan D. Olinsky

Professor, Department of Information Systems and Analytics
Faculty Suite J, Room 125
aolinsky@bryant.edu

Statistics, Data Mining, Applied Analytics, SAS Programming

Spreadsheet Modeling, Genetic Algorithms, Data Mining, Computer Intensive Methods, Multivariate Statistics

  • American Statistical Association,
  • Northeast Decision Sciences Institute
  • Boston Chapter American Statistical Association
  • Kappa Mu Epsilon
  • Mu Sigma Rho
  • Rhode Island Chapter American Statistical Association
  • 2017, Distinguished Faculty Award
  • 2015, SAS Distinguished Professor Award
  • 2013, Faculty Mentor Award
  • 2009, Chapter Recognition Award
  • 2007, Faculty Member Award in Recognition of Dedication to Scholarship, Love of Teaching, and Commitment
  • 2007, Finalist for 2007 Montie Award for Most Unusual Application of Monte Carlo Simulation Techniques
  • 1988, Distinguished Faculty Award

Kennedy, K., Salzillo, M., Olinsky, A., Honing a Predictive Model to Accurately Forecast the Number of Bed Days Needed to Cover Patient Volume for a Large Hospital System, Emerald Group Publishing, 2016.

Schumacher, P., Quinn, J., Olinsky, A., An Expanded Assessment of Data Mining Approaches for Analyzing Actuarial Student Success Rate, International Journal of Business Analytics (IGI Global), 2016.

Hebert, D., Olinsky, A., Hardin, J., Anderson, B., Time Series Data Mining: A Retail Application, Internation Journal of Business Analytics.

Olinsky, A., Quinn, J., Schumacher, P., Visualization of Predictive Modeling for Big Data using Various Approaches when there are Rare Events at Differing Levels, IGI Global.

Quinn, C., Quinn, M., Quinn, J., Olinsky, A., Issues and Methods for Access, Storage, and Analysis of Data from Online Social Communities., IGI Global.

Salzillo, M., Olinsky, A., Del Sesto, D., Kennedy, K., Analyzing the Effluent for a Municipal Water Supplier: a Comparison of the Periodicity of the Time Series Forecasting Techniques, Franklin Business and Law Journal.

Nguyen, S., Quinn, J., Olinsky, A., An oversampling technique for classifying imbalanced datasets, Emerald Group Publishing Limited, 2017.

Quinn, C. J., Quinn, M. J., Olinsky, A., Quinn, J., How Information Spreads in Online Social Networks, Emerald Group Publishing, 2016.

Quinn, J., Schumacher, P., Olinsky, A., Medicare Charges and Payments: Data Analysis, Benford’s Law and Imputation of Missing Data, Case Studies in Business, Industry, and Government Statistics (CSBIGS) , 2016.

Quinn, J., Olinsky, A., Schumacher, P., Smith, R., Cluster Analysis and Persistence in College Majors, Journal of Applied Research in Higher Education, Emerald Group Publishing, 2015.

Kennedy, K., Salzillo, M., Olinsky, A., Analyzing The Timely Partitioning Of Effluent Data To Compare The Effiency Of Predictive Models For Seasonal Differences, Franklin Business & Law Review Journal, 2014.

Quinn, J., Schumacher, P., Olinsky, A., BENFORD’S LAW AND IMPUTATION OF MISSING DATA, NEDSI 2014, 2014.

Schumacher, P., Olinsky, A., Anderson, B., Implementing the SAS Joint Data Mining Certificate at Bryant University, Journal of Statistical Science and Application, 2014.

Kennedy, K., Salzillo, M., Olinsky, A., Quinn, J., Forecasting Patient Volume for a Large Hospital System: A Comparison of the Periodicity of Time Series Data and Forecasting Approaches., Emerald Group Publishing Limited, 2013.

Olinsky, A., Schumacher, P., Quinn, J., Assessing Data Mining Approaches for Analyzing Actuarial Student Success Rate, IGI Global Publishing, 2013.

Salzillo, M., Olinsky, A., Del Sesto, D., Kennedy, K., Forcasting the Amount of Effluent For a Large Municipal Water Supplier, Michael Salzillo, 2013.

Schumacher, P., Olinsky, A., Anderson, B., SAS Joint Data Mining Certification at Bryant University, Northeast Decision Sciences Institute 2013 Annual Meetings Proceedings, 2013.

Kennedy, K., Kennedy, B., Olinsky, A., Assessing Gradient Boosting in the Reduction of Misclassification Error in the Prediction of Success of Actuarial Majors, Case Studies in Business, Industry, and Government Statistics (CSBIGS), 2012.

Olinsky, A., Schumacher, P., Quinn, J., The Importance of Teaching Power in Statistical Hypothesis Testing, International Journal for Mathematics Teaching and Learning, 2012.

Salzillo, M., Kennedy, K., Olinsky, A., The Challenges of Real World Analytics: A Case Study for the Classroom, Franklin Business and Law Journal, 2012.

Schumacher, P., Olinsky, A., Data Mining for Health Care Professionals: MBA Course Projects Resulting in Hospital Improvements, IGI Global, 2012.

Schumacher, P., Olinsky, A., Data Mining for Health Care Professionals: MBA Course Projects Resulting in Hospital Improvements, IGI Global , 2010.

Mirmirani, S., Olinsky, A., Pehlivanis, N., Li, H., Analysis of Gold Price Movement Using Neural Networks, Business and Economics for the 21th Century, 1998.