NJ SAS Users Group 2019 Spring Meeting

The meeting is Friday, May 17th - 10:00am - 1:00 pm


•Janssen Pharmaceuticals

1125 Trenton Harbourton Road
Titusville, NJ 08560

For Directions Click Here


Registration will start at 9:30am, followed by four informative presentations. The meeting will be wrapped up around 1:00 p.m..


Click Here To Register Now

1. If you are planning to be with us on May 17th, click on the Register button above and pre-register.

Proposed Time Schedule

  • 9:30 - 10:00 am Welcome and Registration
  • 10:00 - 10:50 am Location Matters: Evidence From Spatial Econometric Analysis of Opioid Prescription Rates
  • 10:50 - 11:10 am Break & Random Access: Ask questions, make announcements, etc.
  • 11:10 - 12:00 pm Agile Developent of Analytical Solutions with SAS VIYA APIs and the Cloud: A Practical Guide
  • 12:00 - 12:30 pm SAS User Presentation #1
  • 12:30 - 1:00 pm SAS User Presentation #2
  • 1:00 pm Lunch - Door Prize Drawing Provided by SAS

Your Donations are always welcome. NJ SUG relies on your support to continue operating.

  1. Contribute with Pay Pal.
    Send payment to nj.sas.users.group@gmail.com. * PREFERRED *
  2. Contribute with cash or a check at the door.
    Checks are payable to: "NJ SAS Users Group".
  3. Also, we now accept credit cards.

Your support will help us to continue hosting informative meetings about SAS.

Our Speakers

Manuel Figallo, Principal Systems Engineer in the SAS Government Business Unit

Manuel_Figallo Manuel Figallo has been involved in SAS pre-sales and post-sales engagements since the 1990’'s. He is currently a Principal Systems Engineer in the SAS Government Business Unit. His customers have included Federal entities (including the Executive Office and numerous agencies), financial organizations (including a Fortune 20 bank), government-sponsored enterprises, health care organizations, non-governmental organizations, and several small and medium sized businesses primarily in the United States but also Africa, Europe, and Latin America.

Manuel began his career in text analytics and artificial intelligence research. He holds two masters'' degrees from Carnegie Mellon University and UC Berkeley where he was an IBM TJ Watson Fellow. He is SAS Certified, and he contributes his vast technical skills, as necessary, to his SAS engagements in order to solve customers’ problems and add value. His most recent interests are in API'’s, the Cloud, Machine Learning for Medicare, and he has published and presented at the SAS Global Forum and also several SAS Users' Groups, customer sites, and universities. When not at work, he enjoys spending time with his family, playing team sports such as volleyball, sculling, and foreign travel. He is also fluent in Spanish, French, and a little bit of Portuguese.


Abstracts of Our Presentations


Location Matters: Evidence From Spatial Econometric Analysis of Opioid Prescription Rates

by Manuel Figallo, Principal Systems Engineer in the SAS Government Business Unit

A substantial number of Medicare patients are at risk of opioid abuse. A Centers for Medicare and Medicaid Services (CMS) analysis identified approximately 225,000 beneficiaries who received potentially unsafe opioid dosing. Among the beneficiaries with the highest number of opioid prescriptions filled in 2012, 23 opioid prescriptions were filled at an average cost of $3,500 per beneficiary. A key to understanding beneficiary data effectively is to identify high-risk geographic clusters by applying location analytics based on historical data, demographic data and health trends. Location analytics blends health data and socioeconomic data with geographic data to reveal the location of opioid abuse among the Medicare population. Specifically, location analytics that includes spatial econometric modeling (like the SPATIALREG procedure) combined with SAS Visual Analytics on SAS Viya is a powerful and easy-to-use solution to identify high-risk clusters. It can better equip government agencies to effectively allocate resources where they are needed most to protect beneficiaries as well as boost the integrity of the government programs intended to help them. This paper shows how to apply location analytics to find improper prescriptions made by Medicare. It uses SAS data management, data exploration, modeling and reporting capabilities to identify patterns and relationships in data that address risks in Medicare and ultimately ensure a timely and adequate response.  


Agile Development of Analytical Solutions with SAS VIYA, API's, and The Cloud: A Practical Guide

by Manuel Figallo, Principal Systems Engineer in the SAS Government Business Unit

SAS provides a suite of web applications to build rapid prototypes of solutions but also connect users to their data through insights. This presentation provides technical guidance to business analysts so that they can build SAS prototypes quickly, architects to design robust end-to-end solutions, and managers to better gather risks and requirements for an analytics project. By connecting the dots from varying disciplines, the audience will be ready to understand how SAS can better equip them to deliver results in their analytics journey.