GW Presents SAS Day 2019
Welcome to the SAS Day homepage, presented by The George Washington School of Business located in downtown DC. The Masters of Science in Business Analytics (MSBA) is hosting our first SAS Day on November 15, 2019 from 10am- 3pm in Foggy Bottom. Join us to hear from SAS analytics professionals, organizations, consultants, speakers, a MS in Business Analytics young professional panel, and more! Agenda 10:00 AM Opening Remarks from GWSB 10:15 – 11:00 AM Diana Shaw, SAS: Artificial Intelligence and IoT: The Winning Combo 11:00 AM – 12:00 PM Young Professionals Panel (GWU Alum) 12:00 PM – 1:15 PM Lunch/Networking 1:15 PM – 1:45 PM Angela Fullenkamp, SAS: Visualizing Big Data using SAS Viya for Learners 1:45 PM – 2:45 PM Mac Mirabile, Director of Analytics, World Wildlife Fund: WWF and SAS: Applications of analytics in fundraising 2:45 PM Closing Remarks ___________________________________________________________________________________ More about our speakers and presentations: MSBA Alumni- Young professionals panel: Moderated by Suneel Grover, SAS Advisory Solutions Architect and Professor in Practice at GWSB Suneel Grover is an Advisory Solutions Architect supporting digital intelligence, marketing analytics and multi-channel marketing at SAS. By providing client-facing services for SAS in the areas of predictive analytics, digital analytics, visualization and data-driven integrated marketing, Grover provides technical consulting support in industry verticals such as media, entertainment, hospitality, communications, financial services and sports. In addition to his role at SAS, Grover is an professorial lecturer at The George Washington University (GWU) in Washington DC, teaching in the Masters of Science in Business Analytics graduate program within the School of Business and Decision Science. Grover has a MBA in Marketing Research & Decision Science from The George Washington University (GWU), and a MS in Integrated Marketing Analytics from New York University (NYU). Jason Houghton MSBA '18 Jason is an analytics Manager with Deloitte's federal government practice. He specializes in building teams to deliver customized visualization applications to modernize the analytic capabilities of federal clients. Jason began is career in the US Navy as a division head onboard the USS ANZIO (CG 68) and then as a contracts manager at the Office of Special Projects. He is currently still serving in the US Navy Reserves at the Defense Logistics Agency. A native of Raleigh, NC, Jason currently lives in Washington, DC with his wife, Ashley. He is a graduate of The George Washington University's MS in Business Analytics program. He also has an MBA from The University of North Carolina at Chapel Hill and BA in Public Relations from North Carolina State University. Nisha Iyer MSBA '16 Nisha has 5+ years in the data science industry. She started her career as a communications major and completed her MSBA at GW in 2016. During her MSBA, she was working full time and transitioned to a data science role at Booz Allen. She then move to Discovery Communications and managed a data science team there, on the digital side of the company. She has experience working with large and small teams, starting a data science team from the ground up and leading teams. Currently, she is the Director of Data Science at Data Society, a data science training and consulting firm. She loves the field and is passionate about spreading data science literacy across industries! Jorge Del Pino MSBA '16 Jorge is the Lead Data Scientist in the HR Business Analytics team of the International Finance Corporation (IFC), the private sector arm of the World Bank Group. As an HR data scientist, he identifies workforce trends, provides insights into the effectiveness of HR programs, and improves decision making related to attraction, engagement and retention of the organization’s talent. Jorge holds an MS in Business Analytics from the George Washington University and a BS in Business Administration from Babson College. ____________________________________________________________________________________ Presentations: Artificial Intelligence and IoT: The Winning Combo New data types and increasing volumes of Internet of Things (IoT) data will outpace traditional data processing and standard analytic techniques. There is a tremendous need for the use of advanced analytic algorithms and methodologies along with embedded AI to tackle, understand, and process the wider range of data types and increasing volumes of IoT data to derive meaningful business insights. This session will focus on key aspects of AI as it pertains to IoT and a few customer stories across these domains. Presenter: Diana Shaw, SAS Diana Shaw is the SAS Global Technology Practice Americas Artificial Intelligence Manager. She leads a team of data scientists creating tangible AI applications and enabling others to effectively leverage SAS technologies for advanced analytics, machine learning, natural language processing, forecasting, streaming analytics. Diana has spent the last 19 years mining data, troubleshooting problems, developing technical solutions including streaming IoT solutions. She is a true practitioner with a penchant for solving complex business problems throughout the entire analytics life cycle. Diana has a bachelor’s in metallurgical engineering, an MBA and a master’s in analytics. Her experience spans steelmaking, automotive manufacturing, bridge construction, building controls, and banking. Visualizing Big Data using SAS Viya for Learners 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. Presenter: Angela Fullenkamp, Analytical Training Consultant, SAS Angela Fullenkamp is an Analytical Training Consultant within the SAS Global Academic Program. Angela received both her B.S. and M.S. in Mathematical Sciences with an emphasis in Statistics from Clemson University. Before joining SAS, Angela taught mathematics and statistics courses in academia at both the college and high school level. As part of the Global Academic Program at SAS, Angela provides consulting around the country to universities, community colleges, and high schools by teaching educators and students how to use SAS software and how to integrate it into their courses and projects. WWF and SAS: Applications of analytics in fundraising WWF and SAS have partnered together since 2003. In that time, WWF has embraced various SAS programs and procedures in its goal to improve the efficiency of its fundraising efforts. This presentation will give an overview of analytics at WWF and detail sample projects where WWF has utilized SAS solutions. Topics will include predictive modeling, website data collection and experience personalization, and real-time reporting. Presenter: Mac Mirabile, Director of Analytics, World Wildlife Fund McDonald Mirabile is the Director of Analytics at the World Wildlife Fund, one of the world’s largest conversation organizations. McDonald manages a team of four data scientists tasked with applying analytics and predictive modeling to WWF’s fundraising efforts in channels such as direct response mail, email, online advertising, direct response television, and face to face. McDonald holds undergraduate degrees in both Economics and Journalism from Auburn University and a Master’s degree in Economics from UNC-Chapel Hill. In his spare time, McDonald is a passionate wildlife photographer, most recently traveling to Katmai NP (Alaska) to photograph Grizzly bears. ____________________________________________________________________________________ SAS Day Sponsors: Accenture GW School of Business Graduate Programs SAS FAQs What are my transportation/parking options for getting to and from the event? Metro and Public Transportation: The Foggy Bottom metro station is located on the Blue, Orange, and Silver Lines. For Metro information and pricing, please visit the WMATA Website. Parking: Parking is available for a fee on campus. Garages are located: Science and Engineering Hall Access via H Street between 22nd and 23rd Streets - credit card only Marvin Center Garage Access on H Street between 21st and 22nd Streets How can I contact the organizer with any questions? For questions about SAS Day, please email Devin Belzer (email@example.com) for more information. Do I have to bring my printed ticket to the event? Yes, please bring your paper ticket or electronic ticket to the event with you.