Analytics Using SAS®

The fourth annual Analytics Using SAS® event, sponsored by Bryant's Advanced Applied Analytics Center, features guests from the SAS Institute and the private sector who will discuss topics related to visualization, unstructured data, GIS technology and modeling. 

The keynote address will be given at 9:30 a.m. by Jeff Diamond, SAS Director of Research and Development, Business Intelligence.  He will discuss "SAS' Most Current Approach to Data Visualization." Data visualization is centuries old, but visualization software is constantly evolving.  SAS® Visual Analytics on SAS® Viya™ is a living, breathing example of SAS’ most current approach to data visualization.  Through SAS Visual Analytics we will explore how data visualization can help you get the picture fast.  You can expand your analytics culture with approachable analytics that anyone can use and understand.  It’s not all about you.  Sharing your insights with compelling visuals encourages wider discussions and greater collaboration.  

Jorge Silva, Principal Research Statistician Developer, SAS Institute, will present "Making Sense of Unstructured Data through Machine Learning."  Qualitative data presents unique challenges, including the presence of unstructured text and high-cardinality features, which means that the data set often has a sparse structure. Sparse data sets can be problematic for standard methods, but are well-handled using novel machine-learning methods such as factorization machines. In the presentation, we will walk through examples of machine learning applied to transactional and unstructured data from large-scale recommendation systems and social media, where qualitative information such as sentiment and user preference is crucial.

Adam Kostecki, Claims Officer, Claims Executive Department, Amica Mutual Insurance, will discuss the use of a web-based Geographic Information System (GIS)/Mapping technology and how Amica integrates it into the claims management system.  Adam assisted with the national catastrophe response for numerous large-scale events including hurricanes Ike, Irene and Sandy.  In his current position, he leads a team focused on investigating and implementing new technologies in the claims process.

Mia Stephens, JMP Academic Ambassador, SAS Institute, JMP Division, will discuss Interactive Data Analysis and Modeling with JMP Pro 13.  JMP® Statistical Discovery Software is dynamic and interactive desktop software for data exploration, visualization, analysis, and modeling.  In this talk we’ll use a real estate case study to illustrate how to interactively build, compare and deploy predictive models using JMP Pro 13. We use the Graph Builder® to create geographic maps and interactive visualizations, and the data filter and other tools for data preparation.  Then, we explore a variety of predictive models (decision trees, regression, neural networks, and penalized regression), and use the Prediction Profiler and the Solution Path to interactively explore parameters and select potential models.  Finally, we compare a variety of competing models using Model Comparison, and use the Formula Depot to write scoring code to deploy these models. 

There is no charge to attend the event. A continental breakfast and lunch will be provided free of charge to all of our guests.  More information, a detailed agenda, and a link to register are available at

Also presented: Information about Bryant’s Graduate Certificate in Business Analytics program that began in January 2015.  This program leads to a joint certificate in Business Analytics from Bryant University and the SAS Institute. We also have information about our new program that leads to a Bachelor of Science in Data Science. 

Wednesday, November 1, 2017 at 9:00am to 3:00pm

Stepan Grand Hall

Event Type

Conferences, Lecture, Academic

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