Engineering services cloud foundation
An engineering company moved away from in-house servers toward Google Cloud compute, storage, VPN, operations monitoring, and Security Command Center.
Case studies
An anonymized library of cloud, data, AI, and delivery initiatives across regulated, enterprise, and high-growth environments.
Portfolio library
Showing six anonymized initiatives per page across AI, cloud modernization, data, and GenAI delivery.
An engineering company moved away from in-house servers toward Google Cloud compute, storage, VPN, operations monitoring, and Security Command Center.
A workforce-management platform moved toward Google Cloud to support rapid scaling, IoT sensor data, secure operation, and future AI capabilities.
A property platform replaced slow in-house dashboarding with BigQuery and Looker models for complex, high-volume real-estate data.
A fleet platform moved from limited BI tooling toward Looker-based analytics over IoT, PostgreSQL, and time-series data.
An EdTech company connected Postgres, AWS S3, BigQuery, Fivetran, Datastream, and Looker to create real-time dashboards and self-service analytics.
A healthcare platform used BigQuery and Looker dashboards to track appointment completion, cancellation, daily trends, and platform-specific activity.
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