Google Cloud Platform Case Studies Travix: Cruising to new data-driven heights with Looker and Google

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	Travix: Cruising to new data-driven heights with Looker and Google Google Cloud Platform

Travix: Cruising to new data-driven heights with Looker and Google

Google Cloud Platform

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Real Time Analytics Infrastructure as a Service (IaaS) - Cloud Computing Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Demand Planning & Forecasting Predictive Quality Analytics Predictive Replenishment Real-Time Location System (RTLS)
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	Travix, a leading online travel agency, was struggling with handling the massive amount of business intelligence (BI) data generated from over 20 million unique searches. The existing BI solution, which consisted of several dashboard tools and databases, was hosted on servers maintained by several IT staff. By 2015, the infrastructure was straining under the pressure of so much traffic. It was costly and time-consuming for the operations team to maintain the data centers. Travix needed a new scalable, cloud-based, high-speed solution to handle both batch processing and streaming data jobs. The company also wanted to build on its data-driven environment and improve agility to stay competitive in the high-volume, low-margin online travel business. Read More
About Customer	Travix, formed in 2011, is a leading online travel agency that provides flights, hotels, car rentals, insurance, and other travel-related services around the world. The company prides itself on providing the right solution to customers at the right time, which has helped drive sales higher. Travix's five main brands generate over 20 million unique searches, creating a vast amount of business intelligence (BI) data. This data helps Travix tailor its services to suit its customers. However, by 2015, the company's existing IT infrastructure was struggling to handle the volume of BI data, leading to the need for a new scalable, cloud-based, high-speed solution. Read More
Solution	Travix chose Google Cloud Platform (GCP) and Looker for its new IT infrastructure. Google BigQuery became the main tool for taking in and storing the data, with services in Kubernetes used to schedule and run the jobs that needed executing. For the streaming data jobs, Travix used Cloud Pub/Sub and Cloud Dataflow to ensure smooth performance with consistent results, regardless of the load. Meanwhile, Cloud Storage was used for holding static files in a safe, easy-to-access space online. Looker was chosen as the new tool for the BI team for analytical dashboarding and data exploration. It integrated quickly and easily with Google BigQuery, catering to all levels of analysis, from exploration via dashboards to one-page summaries. With Looker and GCP, Travix built a platform that streamlines business intelligence within the company, allowing for higher-level analyses without compromising on performance or scalability. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Real Time Analytics

Infrastructure as a Service (IaaS) - Cloud Computing

Infrastructure as a Service (IaaS) - Cloud Storage Services

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Demand Planning & Forecasting

Predictive Quality Analytics

Predictive Replenishment

Real-Time Location System (RTLS)

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

Travix, a leading online travel agency, was struggling with handling the massive amount of business intelligence (BI) data generated from over 20 million unique searches. The existing BI solution, which consisted of several dashboard tools and databases, was hosted on servers maintained by several IT staff. By 2015, the infrastructure was straining under the pressure of so much traffic. It was costly and time-consuming for the operations team to maintain the data centers. Travix needed a new scalable, cloud-based, high-speed solution to handle both batch processing and streaming data jobs. The company also wanted to build on its data-driven environment and improve agility to stay competitive in the high-volume, low-margin online travel business.

About Customer

Travix, formed in 2011, is a leading online travel agency that provides flights, hotels, car rentals, insurance, and other travel-related services around the world. The company prides itself on providing the right solution to customers at the right time, which has helped drive sales higher. Travix's five main brands generate over 20 million unique searches, creating a vast amount of business intelligence (BI) data. This data helps Travix tailor its services to suit its customers. However, by 2015, the company's existing IT infrastructure was struggling to handle the volume of BI data, leading to the need for a new scalable, cloud-based, high-speed solution.

Solution

Travix chose Google Cloud Platform (GCP) and Looker for its new IT infrastructure. Google BigQuery became the main tool for taking in and storing the data, with services in Kubernetes used to schedule and run the jobs that needed executing. For the streaming data jobs, Travix used Cloud Pub/Sub and Cloud Dataflow to ensure smooth performance with consistent results, regardless of the load. Meanwhile, Cloud Storage was used for holding static files in a safe, easy-to-access space online. Looker was chosen as the new tool for the BI team for analytical dashboarding and data exploration. It integrated quickly and easily with Google BigQuery, catering to all levels of analysis, from exploration via dashboards to one-page summaries. With Looker and GCP, Travix built a platform that streamlines business intelligence within the company, allowing for higher-level analyses without compromising on performance or scalability.

Impact #1	Travix built a powerful, scalable business intelligence platform with Looker and Google BigQuery, empowering business users to analyze data and make better business decisions.
Impact #2	The company increased its data usage with approximately 150 concurrent users on Looker compared with just a dozen on the previous dashboards.
Impact #3	Travix was able to store more than 50 terabytes of data in the cloud, up from just a few hundred gigabytes.

Impact #1

Travix built a powerful, scalable business intelligence platform with Looker and Google BigQuery, empowering business users to analyze data and make better business decisions.

Impact #2

The company increased its data usage with approximately 150 concurrent users on Looker compared with just a dozen on the previous dashboards.

Impact #3

Travix was able to store more than 50 terabytes of data in the cloud, up from just a few hundred gigabytes.

Benefit #1	Increased data usage from 12 to 150 dashboard users.
Benefit #2	Increased data storage from a few hundred gigabytes to over 50 terabytes.
Benefit #3	Increased streaming data service from a few hundred messages per second to over 10,000.

Benefit #1

Increased data usage from 12 to 150 dashboard users.

Benefit #2

Increased data storage from a few hundred gigabytes to over 50 terabytes.

Benefit #3

Increased streaming data service from a few hundred messages per second to over 10,000.

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Overview

Travix: Cruising to new data-driven heights with Looker and Google

Operational Impact

Quantitative Benefit