"We chose to use Google Maps Platform because they have the design features and flexibility we needed to visualize the data in a way that can be easily understood. With layered mapping, we've shown that there's an average of one leak per mile (in Boston) to one leak every 200 …
“On a biweekly basis, we query and export about 150 billion data objects, which totals about 100 terabytes of raw data. Google Cloud Platform does the heavy lifting for us and does it at incredible speeds. We use 28 Google Compute Engine instances and don’t need a dedicated system admin …
“When our customers need to analyze a ton of digital marketing data and pull out what’s relevant to their campaigns, we can give them results cleanly in seconds with BigQuery. That’s a major differentiator for us, because it eliminates the need for customers to buy expensive, third-party analytics products.”
"Our decision to implement Google Cloud and Google Workspace was driven by the desire to provide an enhanced user experience, optimize resource allocation, and improve data management and analysis capabilities while overcoming the various integration challenges with different platforms."
“Our map is the core of our system, where everything comes together. Internally, it’s where we find photographers, plan assignments, and execute them. Customers use it to specify the location of a shoot, then follow progress. And it shows photographers where they need to go and how to get there.”
“Migration involves a lot of planning, and that is where we had a lot of support from Google Cloud. Not only did they help us with strategic planning and running the migration, their main contribution was providing our teams with training.”
"Vision AI's OCR capabilities and speed exceeded our expectations, delivering impressive results even in challenging conditions such as an agricultural context where characters to detect are often in parts, sometimes dirty and damaged."
"Leveraging Google Cloud's powerful infrastructure, we efficiently developed our compact yet comprehensive Image Scan solution."
“We needed to deploy a reliable infrastructure for a new service before understanding exactly what its scale and demand would be. Our strategy was to adopt a serverless architecture that can grow with us to sustain our long-term vision. This kind of thinking led us directly to Google Cloud.”
“Accurate, timely location data helps us to determine where our customers are when they need help. For this, we wanted to partner with a mature location platform that gives us flexibility to switch features on and off as we develop our infrastructure, and Google Maps Platform is a clear winner.”
“With a comprehensive database of more than 150 million regularly updated points of interest worldwide, the Places API is really helping us to hone in on a customer’s location wherever they might be. By simply asking them to look around, we can locate them so much faster.”
"We found BigQuery far superior to existing relational databases in processing large volumes of data quickly. In addition, BigQuery supports standard SQL, so our team members did not need any further education about how to use the service."
"With Holistics and BigQuery, we can see in real-time how each of our projects is performing against key performance indicators and visualize in multiple dimensions the data held in the data warehouse."
"BigQuery is delivering on our requirement for fast performance with large volumes of data, enabling us to make better business decisions faster."
"To optimize our personalized services and data-driven strategies across multiple regions, we needed a powerful, fully compliant global platform to support our data analytics workloads. Google Cloud perfectly fulfills our requirements for data protection and processing efficiency."
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