“When we saw the Google system that was basically the industrial-strength version of what we had built, it was a no-brainer to transfer our platform to Google.”
“It's amazing how the predictability of costs brought by the Google Cloud tool really works. It seems that it can anticipate our growth. Based on the past few months, it provides me with a forecast for the next few months, and it has worked very well so far.”
“We need to collect data, store it, and use it both to create reports and get the insights to drive customers to our platform. Google Cloud offers technology to support that whole process, while its excellent scalability provides us with a big advantage.”
"Applications were migrated when we completed the foundation work on Google Cloud, after verifying it was a secure, stable environment, suitable to receive the workloads. We defined migration waves together with Tembici based on the structure planned for Google Kubernetes Engine, ensuring zero impact on operations."
"Since moving to Google Cloud, we've achieved our goal of improving time to market for new features and resilience in the face of expected and unexpected peaks in traffic. I believe it will help us to sustain the growth we're expecting over the coming years."
"Another significant metric was the 40% reduction to the number of days for the negotiation cycle. Before, we needed 25 days from the initial contact to payment confirmation, and now we only need 15 days. Our sales volume has grown by 35% and we are now able to open more …
"Google Cloud Platform services like Cloud Pub/Sub, Cloud Dataflow, and BigQuery allow us to minimize the effort and resources needed to build data pipelines for airline customers and focus instead on the quality, volume, and velocity of data."
"Google Cloud managed services give us more time to strategize our data pipeline architecture and allow us to be less concerned about maintaining the infrastructure."
“It’s clear Google wants to go above and beyond with its infrastructure. Google is taking the extra step to solve customers’ problems, rather than making customers work around those problems.”
"Cloud ML Engine enables us to obtain insights from large data volumes in an unbelievably convenient fashion. We use data preparation, model training, and prediction in combination to achieve great results."
“Google BigQuery is one of the most transformative technologies I’ve used in years. When someone in the company needs a report, I can slice and dice data any way they want it.
"We come to work every day at Travlytix because we want to solve the biggest problem in travel — data. Airlines, online travel agents, and travel ecommerce companies face challenges capturing, processing, and utilizing data to maximize revenue and efficiency. They struggle with fragmented ecosystems, dated technologies, and communicating objectives …
“We integrate digital networks for our customers globally. As we continue to drive deeper customer engagement and expand into new geographies, data-driven decision-making becomes critical. STL’s data lake, built in Google Cloud, empowers us to do that by securely managing and analyzing large volumes of diverse business data. It has …
"We focused on three aspects: citizenship, technological tools, and committed employees. This path is irreversible and has allowed us to provide more accessible, user-friendly, efficient, and secure responses to our users."
“Our business is all about data networks. With the help of BigQuery, we can use data internally to make the right decisions or even to make timely surgical interventions, be it around the efficiency of our manufacturing processes or the predictive models for our quantitative and qualitative performance metrics.”
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