Program THE FIFTH INTERNATIONAL WORKSHOP Advanced Analytics and Data Science SGH Warsaw School of Economics, 7 November 2017 PARTNER SPONSOR MEDIA PATRONAGE SGH Warsaw School of Economics Building C Al. Niepodległości 128, 02-554 Warszawa 2 analytics-conference.pl With heritage to progress For 112 years we have been educating economy, science, politics and business professionals. Academic year 2017/2018 is the 112th year of the SGH Warsaw School of Economics uninterrupted operation. It has been established in 1906 as August Zieliński’s Private Courses of Commerce for men. SGH Warsaw School of Economics is the oldest university of economics in Poland and at the same time one of the Europe’s leading schools of economics. Almost 3000 students graduate from the school each year. Statistically, every third economist in Poland in the 20th century was our graduate. Over 13 000 people are currently attending the SGH Warsaw School of Economics, studying for a Bachelor’s or Master’s degree. First-cycle Bachelor’s studies offer 6 programmes in Polish and 4 programmes in English, while second-cycle Master’s studies offer 14 programmes in Polish and 5 programmes in English. A full description of each programme can be found at oferta.sgh.waw.pl. The new field of study Advanced Analytics – Big Data (MA) programme is offered at the SGH from the middle of academic year 2014/2015. It educates future experts in data acquisition from variety of sources and its analysis – people who will become one day data scientists. The programme’s graduates obtain specialized knowledge and competences allowing them to work on a position of advanced data analysts in production companies, banks, insurance and telecom companies, public administration and research centres. Every year the Advanced Analytics and Data Science conference brings together distinguished speakers and is a place of important discussion on the subject of combining the science and business needs in times of dynamic development of digital economy. I hope that the participation in the 5th edition of the Conference, where we will discuss the role of predictive modelling for business analytics in the era of Big Data, will be a source of many valuable experiences and inspiration for all of you. Professor Marek Rocki Rector of SGH Warsaw School of Economics analytics-conference.pl 3 Welcome to the Fifth International Workshop Advanced Analytics & Data Science The Important thing is not to stop questioning. Albert Einstein Distinguished Participants, Ladies and Gentlemen For the fifth time the SGH Warsaw School of Economics has the honour to welcome and host the participants of the Advanced Analytics and Data Science International Workshop. The motto of this year’s conference is „Power of Predictive Modelling. Importance of Data Imputation”. It emphasizes the increasingly large role of analytics and predictive modelling and their significant impact on business, economy and the whole society. We are delighted that Professor Marek Rocki, Ph.D., Rector of the SGH Warsaw School of Economics, has agreed to extend his honorary patronage to the event. Our conference would not have become reality without the huge commitment and active contribution from our partner SAS Polska as well as our sponsors: AMA Institute and Payback and media partners. We would like to thank the exquisite Polish and international speakers as well as the great number of participants from business and academia for having accepted our invitation. The fifth jubilee edition of the conference takes place, when SAS celebrates its 25th anniversary of operations on the Polish market led since the beginning by the Managing Director Alicja Wiecka. We also celebrate the 20th anniversary of SAS and the SGH Warsaw School of Economics cooperation. Nowadays, data is everywhere, analytics is everywhere and strongly embed into our daily lives – Data is the fuel, analytics is the engine - said Jim Goodnight, SAS CEO, during his opening speech at the 2017 SAS Global Forum conference in Orlando. In the age of digital transformation the use of business analytics gives us great possibilities to develop and create innovation - said Alicja Wiecka, SAS Poland Managing Director in an interview for ITwiz. Good predictive analytics combines three elements: data, analytical tools and innovation. During our conference, through lectures and discussion we will try to answer many pressing questions, such as: • Predictive Analytics - what it is and why it matters? • How business companies use predictive analytics to reduce risk, drive revenue and gain competitive advantage? • How to educate new generations of analysts and data scientists in response to the challenges of the evolving analytics world? • How to transform their knowledge and talents into business value using advanced predictive modelling? We are living in times where companies and institutions are collaborating with academia to build a pipeline of skilled professionals and to transform the skills of their current employees. We are a part of this analytics world. Bring the Power of Predictive Modelling to your Job, your Organization, Your University and Your Students! Professor SGH Ewa Frątczak Head of Event History and Multilevel Analysis Unit, SGH Warsaw School of Economics Workshop Information Registration and Information Desk Badges Contact The Registration and Information Desk Workshop badges must be worn at all If you have any questions, please will be staffed throughout conference times to be admitted into sessions. contact: [email protected]. hours. 4 analytics-conference.pl 09:00 - 9:30 Conference Registration 9:30 - 9:45 Welcome Address Speech Prof. Marek Rocki Rector of SGH Warsaw School of Economics Prof. Joanna Plebaniak Dean of the Collegium of Economic Analysis, SGH Warsaw School of Economics Prof. Irena E. Kotowska Director of the Institute of Statistics and Demography, SGH Warsaw School of Economics 9:45- 10:30 Using SAS for Multiple Imputation and Analysis of Longitudinal Data language Patricia Berglund Senior Research Associate, Survey Methodology Program, Institute for Social Research, University of Michigan Steven G. Heeringa Senior Research Scientist and Director, Statistical and Research Design Group, Survey Research Center, Institute for Social Research, University of Michigan, USA 10:30 - 11:00 Missing data and imputation in economics and business analytics language Adam Korczyński Assistant, Institute of Statistics and Demography, SGH Warsaw School of Economics, Statistician at QuintilesIMS, POLAND 11:00 - 11:30 Managers and analysts: the Chinese wall and how to break it? Siergiej Fuks Co-founder, AMA Institute Karol Przanowski Co-founder, AMA Institute, POLAND 11:30 - 12:00 Coffee Break 12:00 - 12.40 Social Network Analysis and Artificial Neural Networks to predict churn in telecommunications Carlos Andre Reis Pinheiro Principal Analytical Training Consultant, SAS, USA, Visiting Professor, Data ScienceTech Institute, FRANCE 12:40 - 13:20 Challenges in applications of advanced analytics in customer-centric retail marketing Rafał Latkowski Director of Analytics, PAYBACK Polska, POLAND 13:20 - 14:00 Lunch 14:00 - 14:30 The SAS Platform - Empowering Analytics Innovations Scott Chastain Director, Global Technology Practice, SAS, USA 14:30 - 15:00 Improving predictive modeling, the way for personal carrier. Case based on Kaggle challenge Adam Karwan Boeing Global Services, Research & Rapid Development, Gdańsk, POLAND 15:00 - 15:20 Crowdsourced knowledged as a means of prediction Tomasz Kołodziejczuk Advanced Analytics - Big Data graduate of SGH Warsaw School of Economics POLAND 15:20 - 15:30 Closing Remarks Prof. SGH Ewa Frątczak Head of Event History and Multilevel Analysis Unit, SGH Warsaw School of Economics 15:30 Networking Coffee analytics-conference.pl 5 Agenda and speakers 9:30 - 9:45 Welcome Address Speech Prof. Marek Rocki Rector of SGH Warsaw School of Economics Prof. Joanna Plebaniak Dean of the Collegium of Economic Analysis, SGH Warsaw School of Economics Prof. Irena E. Kotowska Director of the Institute of Statistics and Demography, SGH Warsaw School of Economics 9:45 – 10:30 Using SAS for Multiple Imputation and Analysis of Longitudinal Data language Patricia Berglund Senior Research Associate, Survey Methodology Program, Institute for Social Research, University of Michigan Steven G. Heeringa Senior Research Scientist and Director, Statistical and Research Design Group, Survey Research Center, Institute for Social Research, University of Michigan, USA “Using SAS for Multiple Imputation and Analysis of Longitudinal Data” presents use of SAS to address missing data issues and analysis of longitudinal data. Appropriate multiple imputation and analytic methods are evaluated and demonstrated with an analysis application using longitudinal survey data with missing data issues. The techniques presented are applicable to health care and medical organizations, informational, retail and manufacturing businesses, and academic and governmental environments where missing data problems in longitudinal data exist. The analysis application demonstrates detailed data management steps required for imputation and analysis, multiple imputation of missing data values, subsequent analysis of imputed data, and finally, interpretation of longitudinal data analysis results. Key SAS tools including data management to produce needed data structures and use of PROC MI, PROC MIANALYZE, PROC MIXED, and PROC SGPLOT are highlighted. Patricia Berglund is a Senior Research Associate in