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Copenhagen Business School drives sustainability at Roskilde Festival using cloud data analytics
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 预测分析
- 基础设施即服务 (IaaS) - 云计算
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 消费品
- 教育
适用功能
- 物流运输
- 销售与市场营销
用例
- 预测性维护
- 实时定位系统 (RTLS)
- 供应链可见性(SCV)
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
罗斯基勒音乐节是北欧最大的文化和音乐节，它面临的挑战是如何以可持续的方式为 13 万名来宾提供安全的娱乐、饮食和信息。音乐节会产生大量实时数据，如果对这些数据进行分析，可以为音乐节的规划和运营提供重要见解。哥本哈根商学院 (CBS) 将音乐节视为改善可持续性问题的潜在现实实验室。他们希望了解音乐节现场周围的人流、食品和饮料的销售情况以及不同音乐活动的受欢迎程度。然而，数据类型和数据量在开始时基本上是未知的，因此需要高度灵活的解决方案。
关于客户
丹麦罗斯基勒音乐节是北欧最大的文化和音乐节。该音乐节自 1971 年起由一个支持人道主义和文化工作的非营利、非政治性协会举办，为期十天，邀请了音乐界的一些大腕参加，每年吸引 13 万游客。每年有一周时间，哥本哈根郊区的罗斯基勒小镇会暂时
解决方案
CBS 与 IBM 合作创建了一个大数据实验室，该实验室能够捕获和处理大量数据以进行开放式分析。他们使用 IBM 技术构建了一个云大数据实验室，将来自多个来源的信息关联起来，为音乐节的规划和运营提供有价值的见解。该解决方案包括 IBM Bluemix、IBM dashDB、SoftLayer、IBM SPSS Modeler 和 IBM Watson Analytics。IBM 解决方案旨在处理、存储和分析大量数据，包括来自 12,000 次音乐会观众采访的非结构化数据。数据存储在 IBM dashDB 中，这是一项完全托管的云数据仓库服务，提供极快的响应时间并直接连接到所选的分析工具：IBM Watson Analytics 和 IBM SPSS Modeler。
运营影响
数量效益
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