7 Mar 2016
Webinar: Big Data Analytics for Insurance - An Introduction
The increase in external data volumes is extreme and far exceeds the amount of data captured within the company. As large data volumes only become of value to a company if the right conclusions can be drawn and the right actions derived from all that knowledge, new data evaluation techniques are required, which come under the heading of advanced analytics. Advanced analytics help identify relevant information and make use of it intelligently for the issue in question. Among the examples of new statistical models are procedures for reducing data dimensions which make it possible to calculate a small number of new parameters with much of several hundreds of pieces of information, or also, with the use of complex decision trees, modern regression methods or neural networks that enable to predict single events in the future.
The subjects of big data and business analytics gain importance along the whole insurance value chain, especially in sales, underwriting, pricing and claims processing.
This webinar is an introduction to big data analytics for insurance. Besides presenting the general concept of big data and analytics concrete examples, mainly from health and motor insurance, will be provided.
Organised by the EAA - European Actuarial Academy GmbH.
The webinar is open to all interested persons.
Technical requirements and test sessionPlease check with your IT department if your firewall and computer settings support webinar participations (the programme GoToWebinar is used for the webinar). Please also make sure that you are joining the webinar with a stable internet connection.
On 29 February 2016 between 10:00-10:30 o’clock CET there will be a test session offered to all registered participants to test the software. Participation is voluntary.
Purpose and Nature
Dr. Fabian WinterFabian joined the Munich Re Group in 2009 and is responsible for analytics within Munich Health globally. Within this role, he has led a significant number of analytics projects and supported primary insurance companies in the strategical and operational tasks all over the world. He holds a PhD in Politics and Statistics from the University of Heidelberg, Germany. This Doctoral Thesis was performed after he obtained a Diploma in Statistics from the Institute for Statistics in Munich, Germany.