SAS® GLOBAL FORUM

March 29 — April 1 | Washington, DC

#SASGF

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Sessions

With more than 400 of our sessions confirmed, be sure to review our Session Catalog.

Our conference sessions are top notch – and they aren’t one-size-fits-all. Featured thought leaders will present case studies on the latest industry topics. Plus, we offer a gamut of learning opportunities: lecture-style sessions for the classroom learner; 10-minute Quick Tip sessions for those who prefer a more abbreviated approach to learning; e-posters for the visual learner; and more.

Highlighted Sessions

Serving Up LEGO Libations: Leveraging Python to Build a MINDSTORMS EV3 Robot Who Mixes Tasty Drinks

Serving Up LEGO Libations: Leveraging Python to Build a MINDSTORMS EV3 Robot Who Mixes Tasty Drinks

Troy Martin Hughes, SAS

This live demonstration introduces Barbot the Brixologist, an autonomous LEGO robot who mixes and serves an array of adult beverages. LEGO MINDSTORMS Evolution 3 (EV3) represents the third-generation programmable “Brick,” a hand-held computer developed by the LEGO Group that intelligently drives LEGO robotics. Released in 2013, EV3 uses sensors built by LEGO Group (including haptic, gyroscopic, ultrasonic, infrared and others) to interpret, interact with, and respond to environmental and user stimuli. In April 2019, the LEGO Group released an inaugural MicroPython library that can be used to program EV3 creations on ev3dev, an operating system based on Linux, which supplements the existent ev3dev-lang-python Python library. This session discusses the Python and MicroPython event data capture and data analysis on which Barbot relies and which ensure that each drink is served to perfection!

Bio 
Troy Martin Hughes has more than 20 years of experience leading SAS teams and projects in support of federal, state and local government initiatives. Since 2013, he has given more than 100 presentations, training sessions and Hands-On Workshops at SAS conferences, including SAS Global Forum, Analytics Experience, WUSS, SCSUG, SESUG, MWSUG and PharmaSUG. Additionally, he has authored two books that model software design and development best practices.

Reaching Your Potential as a Statistician and Leader

Reaching Your Potential as a Statistician and Leader

Gary Sullivan, Espirer Consulting

In years past, a popular question in interviews, mentoring sessions or goal-setting discussions was, “Where do you hope to be in five or 10 years?” Many statistical leaders will tell you that the path of their career was not what they planned, if there even was a plan. But they can tell you some skills and/or experiences that were instrumental in helping them achieve advancement and success. So, perhaps a better question is, “How will you advance your skills so that you can grow as a statistician, take on new roles and challenges, and continue to contribute to your organization or profession in a way that is fulfilling and rewarding?” Simply put, “How will you reach your potential as a statistician and leader?” This presentation provides insights and guidance to this question through personal experiences and leadership study. Concepts that are discussed include networking, business acumen, strategic thinking and teamwork. The presentation also provides ideas for actions you can take to move forward in reaching your potential as a statistical leader.

Bio
Gary Sullivan, PhD, is a Leadership Specialist and Statistical Scientist at Espirer Consulting, where he provides leadership training and guidance primarily to statisticians and data scientists. He is currently working with the ASA where he has developed and administered leadership training on business acumen, cultural competence, decision influence and executive presence. Sullivan is also the co-developer and primary instructor for the Effective Statistician Leadership Program, an online leadership course for statisticians in the pharmaceutical industry. He has provided leadership training to more than 400 professionals primarily within the pharmaceutical industry and the ASA. Sullivan retired from Eli Lilly in 2017 as the Senior Director for Non-Clinical Statistics. He joined Eli Lilly in 1989 and held various technical and administrative roles over his 28 years there. Sullivan received his PhD in statistics from Iowa State University.

Tell Me a Different Data Story

Tell Me a Different Data Story

Kat Greenbrook, Rogue Penguin Founder

The easiest data story to write involves an event – something in real life – changing over time. This change can be measured with the right data metric, comparing its value before and after the event. The more dramatic the change, the more interesting the data story. But insight projects are usually more complicated than a single event. Many involve the analysis of multiple events or the output of different segmentation profiles. This insight also needs to be effectively communicated to initiate change. Learn how to write different data stories, depending on the insight you have to communicate, and how to effectively tell them using data visualization. All of these learnings can be applied to SAS® Visual Analytics to enhance your data storytelling.

Tell Me a Data Story
Data is everywhere, but it’s what we do with that data (what insights we tap into) that makes it so valuable. Insight is what can put you ahead of the competition, save company resources, improve customer experience, or even save lives. But all this power means nothing if the insight never leaves the analytics team. Insight communication is an important responsibility for anyone working with data. If insight is not effectively communicated, there is less hope of it initiating change. Data stories are an effective way to engage people with data insights. Humans are evolutionarily hard-wired for narrative, and data stories evoke empathy for what the numbers represent. Data storytelling is about communicating your insights effectively and giving your data a voice. This is the Hands-On workshop version of Kat Greenbrook’s popular SAS Global Forum 2019 breakout session. You'll learn how to find the right story metrics from the noise of data, write a data narrative, and tell a story using data visualization.

Bio
Kat Greenbrook is the founder of Rogue Penguin, a data story and visualization company in New Zealand. She has more than 10 years of experience in analytical modeling roles, but after a shift in vocation now focuses on the challenge of data communication. Greenbrook retrained in digital design and uses visualization as a tool to help businesses tell their data stories.

Categorizing Drug Labels for Geriatric Considerations Using Natural Language Processing

Categorizing Drug Labels for Geriatric Considerations Using Natural Language Processing

Qais Hatim, FDA

Natural language processing (NLP) can greatly improve the efficiency of identifying adverse events and other concepts of interest in specific document collections. This project focuses on using SAS® Visual Text Analytics, an NLP platform, to identify adverse events from the FDA drug product labels that might affect only special populations (such as the elderly) and negate any adverse events that were falsely recognized due to being predisposing conditions. To implement this, we create custom concepts within SAS Visual Text Analytics to examine FDA drug product labels from DailyMed and use the MedDRA ontology to identify relevant adverse events. Further manual pattern recognition based on subject-matter expertise is used to eliminate terms; refine custom concepts; and add categorical rules to further increase precision by eliminating errors in negative words, results due to animal studies and predisposing conditions. A sample of documents are scored with respect to a manual scoring system. The scores allow the Boolean Rule generator in SAS Visual Text Analytics to derive linguistic rules that try to replicate the scores. Even if the linguistic rules fail to achieve a desired accuracy, the rule definitions provide insight to allow for more extensive manual editing of existing human derived rules and concepts. The resulting concepts will be the base for more extensive categorical rules that will allow the FDA to identify drug labels that are consistent with geriatric labeling recommendations.

Bio
Qais Hatim is a successful statistician/operation research analyst and industrial engineering professional with experience in univariate/multivariate statistical techniques, categorical data analysis, analysis of variance/covariance (ANOVA/ANCOVA) and multivariate analysis of variance/covariance (MANOVA/MANCOVA). Hatim performs testing procedures utilizing reliability analysis tools and censored data analysis, using stochastics processes in modeling reliability problems, structured and unstructured data mining, design of experiment, process control, simultaneous statistical inference, Bayesian modeling, sustainable and agile manufacturing dynamic system modeling and simulation, large-scale optimization, development of analytical tools and scalable computational schemes for optimization and equilibrium problems, and real-time big data analytics for manufacturing systems and supply chain management. Hatim is recognized as a self-starter and quick learner who provides exceptional, innovative and efficient solutions.

Post-9/11 GI Bill: Teasing Out Insights About Veteran Success in Post-Secondary Education

Post-9/11 GI Bill: Teasing Out Insights About Veteran Success in Post-Secondary Education

Walter Ochinko, Veterans Education Success (VES)

When the Post-9/11 GI Bill was implemented in 2009, Congress failed to establish metrics to measure its success in helping veterans transition from military service to rewarding civilian careers. Veterans Education Success has attempted to fill this information void by using the available US Department of Education and US Department of Veterans Affairs data sets to shed light on institutional sector enrollment trends, veteran student loan debt, noncompletion rates and outcomes at the schools veterans choose to attend. This presentation focuses on the challenges VES faced in using the available data to report on these topics.

Bio
Walter Ochinko is the Research Director at Veterans Education Success (VES) where he conducts nonpartisan research on issues of concern to student veterans, including veteran student outcomes and student debt levels. VES is a nonprofit organization dedicated to protecting and defending the integrity and promise of the GI Bill and other federal education programs for veterans and service members. Before joining Veterans Education Success in January 2015, he worked for the US Senate Homeland Security and Governmental Affairs Committee where he focused on veterans' education issues for two years. He has extensive experience working with the legislative branch at both the US Government Accountability Office (GAO) and the US Congressional Research Service, where he carried out research on a variety of topics ranging from foreign affairs and national defense to health care. He received his bachelor's degree from Georgetown University and his master’s degree from Columbia University.

From AI to XI: It All Starts With “HI”

From AI to XI: It All Starts With “HI”

Tho Nguyen, Author

“HI” is a universal way to greet family, friends and acquaintances. It is a common word we say many times every day. “HI” can also be very powerful in the context of human intelligence. Humans have always been the core for delivering intelligence, and we as humans provide the intelligence that feeds many XI platforms such as business intelligence, data intelligence, customer intelligence, machine intelligence, artificial intelligence and augmented intelligence. Come and learn how we as humans are the platform that optimizes pervasive intelligence with a simple “HI.”

Bio
Tho Nguyen is an author and experienced professional with more than 20 years of demonstrated success in analytics, data management, strategy/product development, marketing and sales. Nguyen has a strong business and technical background with excellent analytical, organizational, presentation and communication skills.

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