Case Studies > Optimizing Operations and Sustainability in Tourism: A Case Study of Best Day and Google Cloud

Optimizing Operations and Sustainability in Tourism: A Case Study of Best Day and Google Cloud

Technology Category
  • Infrastructure as a Service (IaaS) - Cloud Databases
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Cement
  • Construction & Infrastructure
Applicable Functions
  • Product Research & Development
Use Cases
  • Construction Management
  • Infrastructure Inspection
Services
  • Cloud Planning, Design & Implementation Services
  • Training
About The Customer

Best Day is a Mexican company that began in Cancun in 1984. With vast experience in the tourism industry, the company strives to perfect its personalized service experience. Best Day’s platform offers users access to more than 90,000 hotels, as well as more than 70 domestic and international airlines flying to most destinations around the globe. Customers also receive special offers throughout the year. The company aims to stand out from the competition by engaging in multiple market segments and providing vacationers with the greatest experience possible.

The Challenge

Best Day, a Mexican tourism company, aimed to become the leading travel agency in Latin America. To achieve this, they needed to optimize their cloud-based operations and become more efficient. The company faced three main challenges: maintaining availability and performance at a low cost, automating as many operations as possible, and processing data in real time for better business decisions and an AI-powered customized experience. Their online platform, a crucial tool for marketing their services, required constant updates and a modern upgrade to make operations sustainable. They also experienced stability issues with their cloud-based database environment with their previous provider.

The Solution

Best Day partnered with DataArt, a consulting company, to implement Google Cloud. The migration process took two months, with an additional month for groundwork. The benefits of the new platform became immediately clear. Infrastructure costs were reduced by approximately 75%, partly due to structural changes and workflow improvements, and partly due to the migration to Google Cloud. Stability issues during demand peaks were resolved, and low latency was achieved due to Google’s network of strategically distributed Data Centers. Tools within Google Cloud, such as Compute Engine, streamlined operations that directly impacted Best Day’s customers. The company is currently using BigQuery to collect all the sales data they need for automatic cost alerts and reports, and plans to migrate their whole data strategy to this tool in the future.

Operational Impact
  • The migration to Google Cloud resulted in significant operational improvements for Best Day. Stability issues during demand peaks were resolved, ensuring a smooth user experience even during high traffic periods. The company also achieved low latency due to Google’s network of strategically distributed Data Centers, further enhancing the user experience. The use of tools within Google Cloud, such as Compute Engine, streamlined operations that directly impacted customers. Process automation reduced cloud-availability issues and enabled faster, more frequent releases. The company is now able to bear the same operations burden with a 30% smaller infrastructure. Work teams expressed satisfaction after the migration, as they now have more time for other tasks. The company is also testing AI-powered services to experiment with customization algorithms, aiming to provide a better, more customized experience for customers in the long run.

Quantitative Benefit
  • Reduced infrastructure costs by approximately 75%

  • Achieved 9,000 queries per second (QPS) with Compute Engine

  • Enhanced storage performance for SQL Server databases by 30%

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