Google Analytics 360 and BigQuery improve efficiency and insights for Skyscanner
Company Size
1,000+
Region
- Europe
Country
- United Kingdom
Product
- Google Analytics 360
- Google BigQuery
- Tableau
- Python
Tech Stack
- Google Analytics 360
- Google BigQuery
- Tableau
- Python
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
Skyscanner is a leading global travel search company for flights, hotels and car hire around the world. Founded in 2003, the company helps over 40 million people each month find the best travel options across its portfolio of websites and mobile apps. The company is headquartered in Edinburgh, United Kingdom. Skyscanner is committed to understanding its customers better and optimizing its products to provide the best possible service.
The Challenge
Skyscanner, a leading global travel search company, wanted to understand anonymous customer behaviour on a more granular level. They were keen to dig deeper into the data to get more insight and further optimise their products. Skyscanner wanted to drill down into specific markets, device types and marketing channels. Plus, certain teams within the company wanted to understand the performance of individual site functionalities. They needed to see how well interactions with given functionalities affected conversion rates. Finally, the company wanted to create detailed cohorts to understand how users interact with Skyscanner over time.
The Solution
Skyscanner opted to address all of these needs by integrating Analytics 360 with Google BigQuery. This integration has become the starting point for many detailed investigations across the business. For example, analysts and engineers now run cohort analyses to understand how frequently users return to Skyscanner, and which channels are most effective at which part of the customer journey. Using BigQuery with tools such as Tableau and Python also offers more speed and efficiency than ever before. To minimise costs, they use Python scripts to automate aggregations into new, smaller tables that are much more cost efficient to query.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
Case Study
IoT Data Analytics Case Study - Packaging Films Manufacturer
The company manufactures packaging films on made to order or configure to order basis. Every order has a different set of requirements from the product characteristics perspective and hence requires machine’s settings to be adjusted accordingly. If the film quality does not meet the required standards, the degraded quality impacts customer delivery causes customer dissatisfaction and results in lower margins. The biggest challenge was to identify the real root cause and devise a remedy for that.
Case Study
Jaguar Land Rover Speeds Order-to-Cash Cycle
At Jaguar Land Rover, vehicles physically move around the facility for testing, configuration setting, rework and rectification, leading to a longer search time to get each vehicle to its next process facility. The main goal is to minimize the vehicles' dwell time between end of line and the delivery chain which was previously a manually intensive process. Jaguar Land Rover's goal was to build on the success of an earlier RFID project and improve the efficiency of delivering vehicles to meet dealer orders.
Case Study
Improve Postal Mail and Package Delivery Company Efficiency and Service
Postal mail and package delivery company wanted to replace legacy yard management system, increase inbound and outbound yard velocity, improve priority parcel delivery time and accuracy, reduce workload and overtime, reduce driver detention and measure performance and utilization of yard resources.
Case Study
Hospital Management Solution
The Oncology Diagnosis and Treatment Center of Brasov wanted to give patients as much freedom to roam as possible, while at the same time ensuring optimal patient safety and security. The centre was in need of an adequate wireless voice communication and messaging solution that would give patients the confi dence that medical staff is always on call, and reduce stress levels of nurses and doctors when called in case of urgent need.
Case Study
Worker Tracking & Safety Monitoring in Construction
One of the main challenges facing the technology was to create a network within underground tunnels and another was to provide products that can withstand harsh working environment. The team used amplifiers to enhance bandwidth and Litum produced IP67-rated hardware that is durable for harsh working conditions.
