Patricia Neri
Principal Analytical Consultant

Patricia Neri is a Principal Analytical Consultant in the Global Enablement and Learning (GEL) Team within SAS R&D's Global Technical Enablement Division. Patricia has used Applied Mathematics, Analytics and Optimization to solve real-world problems on a variety of projects on education, healthcare, telecommunications, banking, retail and hospitality in Europe, Africa, Canada, US and South America. She serves as the chair of the INFORMS Prize Committee for the “Daniel H. Wagner Prize for Excellence in Operations Research Practice” and volunteers with her therapy dog in the See Spot Read program at the local libraries in Cary.

Advanced Analytics | Analytics
Patricia Neri 0
An introduction to SAS Visual Forecasting 8.2

This post is an introduction to SAS Visual Forecasting 8.2. We'll build a Visual Forecasting (VF) Pipeline, which is a process flow diagram whose nodes represent tasks in the VF Process. The objective is to show how to perform the full analytics life cycle with large volumes of data: from accessing data and assigning variable roles accurately, to building forecasting models, to select a champion model and overriding the system generated forecast.

Advanced Analytics | Programming Tips
Patricia Neri 0
Solving Sudoku puzzles using Constraint Programming in SAS Optimization

Most people who work with optimization are familiar with Linear and Integer Programming, to their toolkit they could add Constraint Programming. Constraint Programming is a powerful technique that is used to solve powerful “real-world” problems in a variety of areas, such as, planning, scheduling, DNA Sequencing, computer graphics and natural