Creating Better Business Forecasting and Marketing Efforts at Science Centre Singapore
公司规模
1,000+
地区
- Asia
国家
- Singapore
产品
- Qlik Sense
技术栈
- Data Analytics
- Business Intelligence
- Cloud Computing
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
适用行业
- 教育
适用功能
- 商业运营
- 销售与市场营销
用例
- 库存管理
- 预测性维护
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
The Science Centre Singapore is an educational institution that aims to uncover the wonders of science, technology, engineering, and mathematics by making it accessible and engaging. Located in Jurong East, Singapore, the Science Centre has more than 1,000 exhibits and has received well over 30 million visitors since its opening in 1977. The Centre uses a blended mixture of exhibitions, events, and educational programs, both onsite and online, to encourage creativity and curiosity. The Centre is committed to using business intelligence as effectively as possible to make sense of complex data mapping and make smart decisions.
挑战
The Science Centre Singapore was facing challenges in forecasting and marketing due to the lack of a centralized data system. The data was stuck in Excel spreadsheets, making cross-company access cumbersome. The organization was striving towards being a data-driven organization as part of its digital transformation journey. The goal was to leverage various platforms to create targeted digital experiences and promote user adoption of data analytics among the staff. The organization was dealing with complex data due to different attractions, workshops, and ticketing platforms. The old setup had individual officers responsible for their own data, leading to siloed insights and cumbersome data access.
解决方案
The Science Centre Singapore decided on Qlik Sense to handle their complex data needs. The ticketing and patronage numbers that were previously locked away in Excel and the source systems were migrated to Qlik Sense. Qlik Sense allowed the organization to dive into information with greater insights, for example, into the exhibits visited and demographics. The collection process was automated, and the information fed directly into Qlik Sense. This meant less work for the team, and the reports could be made available immediately to anyone with access to those dashboards by just logging in to Qlik Sense. The organization also started using the cloud-based Qlik Sense SaaS to analyze social media data.
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