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“Our architectural landscape and transformation design principles enabled us to avoid running separate data warehouses. Creating a data lake enabled us to extract deep insights from historical and real-time data from disparate sources in a unified, clean format. This is a great benefit and big time saver for us.”
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“All in all, this was not an easy project. We had an Italian team, servers in Taiwan and Singapore, and our production facility in mainland China. But we have such a strong partnership with Google, we were able to continue delivering an excellent product to our customers and facilitate a …
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“Google Cloud Platform and Barracuda NextGen Firewall are helping us accomplish our primary mission of helping people become financially stable to improve their lives. We can easily expand across the country because we can scale by 10x, 20x or more without any problems.”
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"With Google Cloud, we’re modernizing our infrastructure to adopt new algorithm technologies that will help us enhance value for our customers and develop services beyond what traditional insurers have ever been able to offer. For this major step, we wanted the best technology, architecture, algorithms, assets, and data science community."
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“With our previous database, some of our complex queries could take a whole weekend to process. But BigQuery is a really powerful technology. It’s fast and scales seemingly endlessly. We’ve already noticed a significant decrease, often to seconds. And our most complex computations now take a few minutes.”
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"We work with banks, regulators and clients to identify gaps in the market, and find ways to close them with products that help deliver the financial services vision for the country as a whole."
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“Within a month, we progressed as much as we would have in a year and a half.”
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“Google Cloud tools suite helped us not only to build the product, but also to improve the environment which we already have.”
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"I had to work out how we could best leverage our technology to improve our healthcare. So, I thought we have all this data, we must mine it for insights."
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"BigQuery has helped us work orders of magnitude faster than we did with an on-premises database. A query that used to take our engineers 15 to 20 minutes now takes about 15 to 20 seconds for a doctor using our frontend."
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"We want to create a sustainable, cost-effective cloud strategy that will provide flexibility to support business decisions over the next five years, so we're looking at solutions that can grow with us. That’s what we’ve found in Google Cloud and its BigQuery data warehouse."
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“The cloud environment we were using wasn’t well integrated with our network, resulting in a number of challenges, particularly when it came to security, scalability, and managing our infrastructure. Google Cloud was much more suitable and offered us a greater degree of flexibility.”
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“We’re making the same tools that previously demanded expensive hardware available through Compute Engine. Everyone has their own data pipelines and does things slightly differently, but we’re able to ensure that people can collaborate, whether they’re using a VM or on-prem hardware.”
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"We invested in a Data & Analytics team to foster a new era of data-driven decisions at our bank. As a result, we managed to support new ideas based on robust insights, aiming for higher customer satisfaction, and leveraging digital transformation, as well as developing financial solutions to serve our …
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"Our main reasons for choosing Google Cloud were the advantages of its analytical tools BigQuery and Vertex AI, its AutoML services to accelerate the development of AI-based models, and better resource utilization to deploy a business domain-oriented data platform and self-service analytics."