Data that arrives late
Disconnected tools and refresh cycles that land after the decision they were meant to inform.
Services
Data analytics consulting and data engineering services
G360 provides data analytics consulting and data engineering services on Microsoft Fabric and Azure. We consolidate your sources, build pipelines that deliver data before decisions are made, and set up governed analytics your teams and your AI tools can trust.
Start a conversationThe problems that bring teams to us
Teams carrying a legacy data platform, fragmented pipelines, or analytics nobody fully trusts.
Governance you can’t evidence
A stack nobody can fully account for, with compliance questions the current setup cannot answer.
A rebuild with no sequence
A clear pull toward a modern Fabric estate, and no path to it from what is running now.
Five capabilities, one data estate
One team covers the work from data platform audit through pipelines and reporting, built on Microsoft Fabric and your existing Azure investment.
Data platform audit
The estate mapped end to end: sources, pipelines, refresh cycles, and what is actually blocking analytics today.
Modernization roadmap
A sequenced data modernization plan with priorities, owners and budgetable estimates.
Fabric pipelines & orchestration
Ingestion and scheduling built on Microsoft Fabric, with the observability to prove the data landed on time.
Lakehouse & unified analytics
One lakehouse and one place to build and share reporting, so teams stop maintaining private copies of the same numbers.
Governance & access control
Classification, lineage, and role-based access wired in as the estate is built, rather than bolted on after.
Where the products plug in
Once the data is usable, PromptVault governs what AI is allowed to do with it, and RepoAudit keeps the pipeline code under review. One estate, one posture.
How an engagement runs
Three phases, each leaving you something you keep.
- 01
Current estate discovery
Sources, pipelines, refresh cycles, and governance reviewed exactly as they run today.
- 02
Fabric architecture & integration plan
The target design and the path into it, sequenced with owners and real estimates.
- 03
Pilot & reporting alignment
One workload built end to end against a report the business already relies on, then handed over.
Accelerators and frameworks we bring
Microsoft Fabric architecture patterns
Reference designs for lakehouse, warehouse, and semantic models, adapted rather than drawn from a blank page.
Ingestion & orchestration frameworks
Patterns for pipelines, scheduling, and observability, already running in environments like yours.
Governance layer setup
Purview classification and role-based access, applied as the estate is built.
“I love working with G360 Technologies because they know what they’re doing.”
Frequently asked questions
What do your data analytics consulting services include?
A data platform audit, a modernization roadmap, Microsoft Fabric pipelines and orchestration, a unified lakehouse for analytics, and governance with lineage and role-based access. Each phase leaves you with something your team can use.
Do we have to move everything to Microsoft Fabric?
No. The audit starts from the estate you already run, and the roadmap sequences what is worth moving. Fabric is where most of this work lands, not a precondition for starting.
Can we start with a single pipeline?
Yes. A pilot built against one report the business already relies on is the usual first step, and the audit findings are yours either way.
Why choose a Microsoft Fabric consulting partner?
Fabric brings data engineering, warehousing and reporting into one platform, but the migration path matters. We have reference designs for lakehouse, warehouse and semantic models, so you start from a proven pattern rather than a blank page.
How does data engineering help with AI projects?
AI is only as reliable as the data it uses. Clean, governed pipelines mean AI tools work from accurate, current data, with access controls that decide what each model and user can see.
Do you work with data outside Azure?
Yes. We connect on-premises databases, SaaS tools and other cloud sources into Fabric, and decide during the audit what should move and what should stay.
Ready to build what’s next?
Start with an audit of the estate you have, and leave with a roadmap you can budget against.