SAS Day 2019 Sessions
1:05 pm Visualizing Big Data using SAS Viya for Learners
Presented by Angela Fullenkamp, Analytical Training Consultant—SAS®
Data visualization tools have revolutionized the accessibility and availability of organizational knowledge. Compelling visualizations deliver objective recommendations and drive organizational decision-making in efficient and effective ways, but the typical KPI’s and usual analyses might not be enough. Organizations and individuals can dive deep into big data and benefit from the flexibility of collaborative, high-performance, big data analytical tools that synthesize big data exploration and deeper analyses with standard reporting and dashboarding. This session will unveil how SAS® Viya for Learners integrates big data analytical muscle into accessible and engaging visualizations that answer questions organizations already need to know and that drive the desire to explore big data, to challenge assumptions, and to democratize analytics.
1:45 pm: Do You Know or Do You Think You Know? Incorporating Business Experiments Into Strategy Development
Presented by Mehron Beheshti, Statistician—State Farm
Designed experiments are slowly becoming more common in business settings. Many firms are recognizing the broad applications, but surprisingly, many more still resist fully integrating designed experiments into their strategies. As with any analytic change, driving an organization to adopt strategic testing can be difficult. This presentation will explain what business testing is, how wise companies are leveraging it, and how State Farm has been moving from minimal business experimentation to a more ambitious culture of testing. Examples will be shared that demonstrate the business value of multivariate testing, from simple to complex. The discussion will also focus on how to incorporate test results into strategy optimization, as well as how to address common barriers.
2:30 pm: Fresh Out of the Womb: Analysis and Modeling of Public Health Natality Data
Presented by , Chris Kinson, UIUC Statistics faculty,
, Kyusoek Roh,
, Zhuo Feng,
, Gayoung Kim,
, Kagen Quiballo (UIUC students)
Birth, mothers, and reproductive rights have been at the center of recent political action. Natality is the incidence of birth or the birth rate. Two sets of undergraduate students completed final projects with data that is sourced from the Center for Disease Control and Prevention's National Center for Health Statistics. Their goal was to create their own statistical investigations into this particular public health dataset which contains over 3 million observations and nearly 300 variables. The collected data includes demographics of the parents, characteristics of the labor and delivery, metrics of newborn health, infections and congenital anomalies in the newborns, and numerous other health attributes of the birthing experience. Base SAS and SAS On Demand were used for their accessibility, powerful visualization, and prediction capabilities as well as their ability to handle data sets of large size.
3:30 pm: Accessible and Actionable AI with SAS
Presented by Sundaresh Sankaran, Data Scientist / Solutions Architect—SAS®
Organizations worldwide acknowledge that Artificial intelligence can provide them positive impact, but often struggle to identify the right talent, technologies and approaches to realize this value. In this session, you shall understand the core capabilities of a powerful and well performing machine learning platform. You shall also witness how easy it is, with the right technologies, to rapidly obtain impactful business insights and take action using SAS’s unified machine learning platform.
4:15 pm: Analytics Professionals Panel
Panel includes Mehron Beheshti, State Farm; Jacob Siesser, State Farm; Gabe Taylor, State Farm;
Angela Fullenkamp, SAS