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

IBM
Analytics & Modeling - Big Data Analytics
Analytics & Modeling - Predictive Analytics
Infrastructure as a Service (IaaS) - Cloud Computing
Platform as a Service (PaaS) - Data Management Platforms
Consumer Goods
Education
Logistics & Transportation
Sales & Marketing
Predictive Maintenance
Real-Time Location System (RTLS)
Supply Chain Visibility
Cloud Planning, Design & Implementation Services
Data Science Services
Roskilde Festival, the largest North European culture and music festival, faced the challenge of keeping 130,000 guests safely entertained, fed, watered and informed in a sustainable way. The festival generates huge volumes of real-time data, which if analyzed, could provide critical insights for planning and running the festival. The Copenhagen Business School (CBS) saw the festival as a potential real-world laboratory for improving sustainability issues. They wanted to understand the movement of people around the festival site, the sales of food and beverages over time, and the popularity of different musical events. However, the data types and data volumes were essentially unknown at the outset, requiring a highly flexible solution.
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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. For one week each year, a small town called Roskilde on the outskirts of Copenhagen temporarily
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CBS partnered with IBM to create a big data laboratory capable of capturing and processing vast amounts of data for open-ended analysis. They used IBM technologies to build a cloud big data lab that correlates information from multiple sources, delivering valuable insight for planning and running the festival. The solution included IBM Bluemix, IBM dashDB, SoftLayer, IBM SPSS Modeler, and IBM Watson Analytics. The IBM solution was designed to process, store and analyze huge volumes of data, including unstructured data from 12,000 interviews with concertgoers. Data is stored in IBM dashDB, a fully managed cloud data warehouse service offering extremely fast response times and direct connectivity to the chosen analytics tools: IBM Watson Analytics and IBM SPSS Modeler.
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The solution provided fast insight into crowd movements and sales data, supporting sustainability.
It enabled smart optimization of safety, catering, energy, water, waste management.
The scalable cloud-based analytics drove smarter planning and decisions.
Collected 91 million tracking points during the 2015 festival.
Gathered sales data from the largest food outlet in the festival.
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