The IoT combined with big data analytics enables organizations to track new patterns and signs and bring data together that previously was not only a challenge to integrate but also way too expensive. Frank Saeuberlich and Eliano Marques explain why data management, data integration, and multigenre analytics are foundational to driving business value from IoT initiatives.
Frank and Eliano share use case examples from manufacturing, utilities, and telecommunications with a focus on how to identify patterns and signals in this new data to drive operational efficiencies and generate business value; outline best practices with respect to end-to-end architecture, type of data analyzed, and types of analytics applied; and highlight potential ways to get started with IoT initiatives leveraging Teradata and Think Big services.
This session is sponsored by Teradata.
Frank Säuberlich is the director of data science and leads Teradata’s International Data Science team—a role combining demand generation across EMEA and APJ with analytical innovation. Frank previously worked at Urban Science International, where he was a regional manager responsible for customer analytics. In this role, he worked with client teams around the globe to implement analytical solutions and pioneered new types of analysis to improve the efficiency of automotive clients’ marketing efforts. Prior to that, as European customer solutions practice manager, he was responsible for the Urban Science Customer Solutions practice in Europe. Frank holds a PhD in economics and a master’s degree in economic mathematics from the University of Karlsruhe.
Eliano Marques is the Global Data Science practice lead at Think Big. Eliano has successfully led teams and projects to develop and implement analytics platforms, predictive models, and analytics operating models and has supported many businesses making better decisions through the use of data. Recently, Eliano has been focusing on developing analytics solutions for customers around predictive asset maintenance, customer path analytics, and customer experience analytics with a main focus in utilities, telcos, and manufacturing. Eliano holds a degree in economics, an MSc in applied econometrics and forecasting, and several certifications in machine learning and data mining.
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