“Developing Dialpad on Google Cloud Platform allowed us to grow much faster and expand the core of our business. We could focus on what matters to our customers and improve productivity. Without Google Cloud Platform, we’d need twice as many people to achieve this velocity.”
“Because of the way BigQuery was structured as a highly scalable, managed service, we could take a hands-off approach and be confident in delivering reports on time, even when our workloads peaked."
“These challenges helped us take the company to the next level. The reduction in our build time and cost was pretty significant. We also managed to start using the chatbot in our operations.”
"The feature that really made the difference for us was Looker’s semantic layer. It allowed us to unify definitions, manage user permissions within our products, and deliver consistent, governed metrics. This has been the real foundation of our embedded analytics strategy."
“Consolidating on Google Cloud, instead of managing a mix of vendor environments, reduces our total cost of ownership. We now have engineers who can share knowledge and expertise with each other to manage our Google Cloud footprint.”
"We acquire businesses to improve them, but to do that we need to be able to go under the hood and understand how those businesses work. With BigQuery and Looker we can analyze in real-time and get the insights we need to make changes."
“The level of network logging and the visibility I get is absolutely wonderful.”
"Google Cloud has enabled us to gain much faster insights, and become a much more data-driven organization, making departments comfortable asking my team to help them reach increasingly complex data insights."
“There's zero setup required and the integration works across the board to find errors. Having the direct integration with the cloud-native aspects gets us the information in a timely fashion.”
"Today, thanks to Google Cloud's data architecture, these same modifications are made in a few hours, or even directly by the business teams themselves. Our developers can finally focus on high value-added projects rather than spending their time maintaining and modifying data tables."
“We held our first discovery call during the first day or two in March and had the actual sign-up page launched on Friday, March 12 Thanks to the sheer volume of resources that were brought to bear by the Google Cloud team, our users had a smooth experience using an …
"Thanks to Google Cloud, we can fully exploit our potential and offer our customers a superior quality service."
“SpringML’s expertise in delivering agile incremental projects helped the commonwealth deliver the application in days and apply continuous updates with no disruption to service.”
"Security is one of our main concerns. Google Cloud gave us tools that allow us to detect threats and respond quickly, something we could not do before. Before, we depended on manual monitoring, which wasn't enough. Now we have visibility and alerts that let us act immediately."
“The team needed to reduce operational costs with a serverless solution. Data engineers wanted to focus on their key roles rather than acting as database administrators and infrastructure engineers.”
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