After a brief introduction by Marcel Altherr, who leads the Data Worlds project together with Andreas Brandenberg, everyone rolled up their sleeves and got to work. Course participants logged on to the Teradata University Network with the login details they received in advance, and then loaded the SAS Visual Analytics software with their browser in order to visualise the data.
While the software was downloading, Markus Grau from SAS Institute AG presented his ideas on better decision making. He not only explained visual analytics is all about but also shared his thoughts on the next major topic, the internet of things (IoT).
Carmelo Iantosca from GateB AG gave a calm and focused account of the topic and skilfully explained some of its trickier aspects. A detailed manuscript with a clear overview and that can be used for self-study purposes was also part of the package.
The course took a close look at all that big data analytics can offer based on the SAS Visual Analytics software – and also examined the limitations.
A further course that includes classical statistical elements of data analysis is planned for the autumn semester of 2016. The course is held for the second time on 24 June 2016, and the registration deadline is 17 June 2016. For more information and registration, visit the website of Data Worlds.
