Copenhagen Business School drives sustainability at Roskilde Festival using cloud data analytics

Published on 1 Feb 2016

dashDB, SPSS and Watson Analytics enabled us to process, store and analyze huge volumes of data.

Per Østergaard Jacobsen, External Lector and Project Manager, Copenhagen Business School

Copenhagen Business School

Media & Entertainment

Deployment country


Roskilde Festival in Denmark is the largest North European culture and music festival. Run since 1971 by a non-profit, non-political society that supports humanitarian and cultural work, the ten-day festival hosts some of the biggest names in music and attracts 130,000 visitors annually.

Business need
How do you keep 130,000 guests safely entertained, fed, watered and informed in a sustainable way? Roskilde Festival knew that the critical insights lay hidden in huge volumes of real-time data.

Copenhagen Business School works with IBM Analytics, Cloud Data Services and Smarter Cities teams to provide cloud-based data analysis and prediction to help festival managers make smarter decisions.

Enables vital insight into where people go and what they buy, driving smarter optimization in crowd safety and service provision. Extreme scalability enables deeper analysis of near-real-time data.


IBM products and services that were used in this case study.

IBM Bluemix, IBM dashDB, IBM SPSS Modeler, Watson Analytics


SPSS Modeler, M&E: Connected Customer, M&E: Agile Enterprise, BA - Business Analytics, BA - Predictive Analytics, BA - Predictive and Business Analytics - Capacity Management, Business Analytics, Cloud Computing, Data Warehouse, IBM Analytics, Predictive Analytics, Smarter Analytics, , Enabling Business Flexibility

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