Data helps optimize major airport
公司规模
Large Corporate
地区
- America
国家
- Canada
产品
- Qlik
- Snowflake
技术栈
- Data Analytics
- Oracle
- SQL Server
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 实时分析
- 分析与建模 - 大数据分析
适用行业
- 运输
适用功能
- 物流运输
用例
- 实时定位系统 (RTLS)
- 预测性维护
服务
- 数据科学服务
- 系统集成
关于客户
The customer in this case study is Vancouver International Airport (YVR), located in Vancouver, Canada. YVR is one of the major airports in Canada and serves as a significant hub for trans-Pacific flights. The airport is constantly seeking ways to improve its operations and passenger experience. One of the key challenges for YVR is to optimize the minimum connection time for passengers, which requires a clear understanding of how passengers, bags, and planes move through the airport. To achieve this, YVR needed a solution that could provide near real-time data analytics.
挑战
Vancouver International Airport (YVR) is striving to become the preferred TransPacific hub for passengers traveling between Asia and the Americas. To achieve this, YVR needed near real-time data analytics to gain a clear understanding of how passengers, bags, and planes move through the airport. This data would enable YVR to optimize its minimum connection time and enhance the passenger experience.
解决方案
Qlik partner GINQO provided data integration and analytics solutions that are used throughout YVR. These applications provide immediate insights on the many intertwined subprocesses – security, customs, baggage screening and so on – to help YVR improve efficiencies. A new data hub ecosystem, which combines Qlik and Snowflake, has also been implemented. This new system has enabled YVR to cut the time to run a report from 33 hours to under one minute, positioning the data infrastructure for future growth and agility.
运营影响
数量效益
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