Story
Google Cloud
WatersHow Waters Runs Infrastructure Modernization on BigQuery
Waters, a health care organization in the United States, uses BigQuery from Google Cloud to support datacenter exit planning for migration squads.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because workload migration has a clear owner |
| Productivity | Handoffs in datacenter exit planning sit in a shared queue instead of a mailbox trail |
| Capability | New joiners can see how datacenter exit planning actually runs |
Story
Waters is based in the United States and runs health care operations at a scale where workload migration cannot live in side channels. Migration squads were reconciling competing copies of the same work, which slowed datacenter exit planning and hid who owned the next step.
The company runs datacenter exit planning on Google Cloud, with BigQuery as the product migration squads actually open. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. For Waters, that means migration squads can open one workflow, see workload migration, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for workload migration.
