Qlik Case Studies Data helps optimize major airport

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	Data helps optimize major airport Qlik

Data helps optimize major airport

Qlik

Technology Category	Analytics & Modeling - Real Time Analytics Analytics & Modeling - Big Data Analytics
Applicable Industries	Transportation
Applicable Functions	Logistics & Transportation
Use Cases	Real-Time Location System (RTLS) Predictive Maintenance
Services	Data Science Services System Integration
Challenge	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. Read More
About Customer	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. Read More
Solution	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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Analytics & Modeling - Big Data Analytics

Applicable Industries

Transportation

Applicable Functions

Logistics & Transportation

Use Cases

Real-Time Location System (RTLS)

Predictive Maintenance

Services

Data Science Services

System Integration

Challenge

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.

About Customer

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.

Solution

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.

Impact #1	YVR has gained insights that have enabled it to substantially reduce its minimum connection time.
Impact #2	The implementation of a new data hub ecosystem, which combines Qlik and Snowflake, has positioned the data infrastructure for future growth and agility.

Impact #1

YVR has gained insights that have enabled it to substantially reduce its minimum connection time.

Impact #2

The implementation of a new data hub ecosystem, which combines Qlik and Snowflake, has positioned the data infrastructure for future growth and agility.

Benefit #1	Reduced time to run a report from 33 hours to under one minute.

Benefit #1

Reduced time to run a report from 33 hours to under one minute.

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Overview

Data helps optimize major airport

Operational Impact

Quantitative Benefit