Princeton Optimization

Transportation Leader Drives Up Competitive Advantage with Advanced Analytics

A leading trucking company sought to improve a core business unit by integrating advanced analytics into planning and operations processes. The company retained Princeton Consultants to demonstrate how incorporating new data sources, improved algorithms and a corresponding shift in business processes will result in better economics, service, nimbleness, consistency, and transparency. Princeton Consultants interviewed key […]

O.R., Data Science and Your Analytics Group

In 2016 I conducted a survey at the INFORMS Analytics conference in Orlando on the organization of analytics groups, and on the potential impact of current trends in the analytics landscape. ORMS Today included the summary of the results and the editor Peter Horner, added the title, “O.R. and Data Science: a Complicated Relationship,” which encapsulates […]

Advanced Analytics Model Review and Validation

Princeton Consultants performs a Quality Assurance service that helps clients understand if best practices are used in the deployment of their predictive analytics or optimization models. Based on years of experience deploying advanced analytics in operational systems that run 24/7, our analysis often uncovers areas for improvement by suggesting new modeling and algorithmic approaches. Practitioner executives […]

Tidy Data for Optimization

Over a year ago, I discovered a wonderful article by Hadley Wickham introducing the concept of “Tidy Data.” Here is a complete reference: Hadley Wickham, “Tidy Data”, Journal of Statistical Software, Volume 59(10), August 2014. Wickham, a major contributor to the open source R package for statistical analysis, was addressing the needs of statisticians in […]