- Organisation
- Premier Technical Services Group (PTSG)
- Predecessor
- a third-party managed private cloud supporting unreliable work-management systems, alongside limited siloed reporting across acquired businesses
- Destination
- Google Cloud Compute Engine for work-management infrastructure and a central data platform built on BigQuery and Looker
- Workload
- work-management infrastructure plus sales, finance and people-data ingestion and analytics
- Stage
- completed
- Retirement status
- The bounded private-cloud and reporting migration is complete; retirement of every PTSG application or acquired-company system is not stated.
- Confidence
- High
- Next trigger
- A dated production launch for the Gemini HR tool, Vertex AI pricing alerts or a material expansion of the central data platform.
Programme context
PTSG's acquisition-led growth left its work-management systems constrained by a third-party managed private cloud and its reporting fragmented across acquired businesses. The company selected Google Cloud for infrastructure scale and a central data foundation.
Why this matters: The event combines a bounded infrastructure migration with an operational group data platform rather than presenting future AI exploration as the completed change.
Migration timeline
| Date or stage | Milestone | What changed | Evidence status |
|---|---|---|---|
| Early 2025 | migration completed | PTSG moved its work-management infrastructure and data platform to Google Cloud before vacating its previous data centre. | Confirmed |
| After migration | central data platform operational | BigQuery began ingesting and normalising sales, finance and people data, with Looker providing reporting and dashboards. | Confirmed |
| Future | AI work described | A Gemini employee-policy tool is being built and Vertex AI pricing and underquote alerts are planned. | Under construction / planned |
Workload migration matrix
| Workload | Predecessor | Destination | Status |
|---|---|---|---|
| work-management system | third-party managed private-cloud infrastructure | Google Compute Engine virtual machines | operational |
| sales, finance and people data | disparate systems and siloed reports | BigQuery central warehouse and Looker analytics | operational |
| employee-policy and pricing AI | not stated | Gemini and Vertex AI | under construction or planned |
Implementation and architecture
- Google Cloud partner Aliz supported project management and the deadline to vacate the previous data centre.
- Compute Engine provides the memory and processing capacity for the work-management system.
- BigQuery is the central warehouse, while Looker supplies group reporting, dashboards and cross-division comparison.
Known unknowns and contradictions
- The customer-story page does not state its publication date or the exact cutover date within early 2025.
- The source does not enumerate every predecessor product, application, database or acquired-company system.
- The Gemini and Vertex AI use cases are not evidenced as production-complete.
No missing fact is inferred to broaden the source-supported event.
PlatformTrace analysis
Google Cloud’s customer evidence supports PTSG’s early-2025 infrastructure migration and operational BigQuery-and-Looker data platform. It does not identify every predecessor product, prove that every PTSG application or acquired-company system migrated, or prove that planned Gemini and Vertex AI uses are production-complete.
Google Cloud states that PTSG is saving GBP 700,000 annually on infrastructure and security. PlatformTrace treats that as a source-reported operating outcome, not an independently audited universal benchmark.
Evidence ledger
- Google Cloud — PTSG customer story
First-party vendor evidence naming PTSG, the private-cloud and siloed-reporting constraints, the early-2025 migration, Compute Engine, BigQuery, Looker and the bounded operating outcomes. The page does not state its publication date.
Approval: Issue #47 Lane 3 publication decision.
Corrections and updates
29 July 2026 — Initial Verified dossier published as a completed bounded infrastructure and data-platform migration. Later AI or platform-expansion milestones will be appended rather than silently replacing this state.