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Cloud and Growth Services

Google Cloud Consulting Services

Google Cloud consulting services are a strong fit for data-heavy businesses and teams already using BigQuery, Google Workspace or GA4. We design GCP setups for analytics, applications and AI workloads, and keep an eye on the bill.

Helping brands grow since 2013
Our approach

How we approach Google Cloud consulting services

Google Cloud's strengths are data and analytics: BigQuery, Looker, Vertex AI and simple serverless options such as Cloud Run. Many companies first touch GCP through a GA4 BigQuery export, then grow ad hoc projects with no structure, unrestricted service account keys and BigQuery queries that scan entire tables and generate surprise costs.

We start with your current GCP projects, IAM and billing, and set up a proper resource hierarchy, organisation policies and access controls. For data workloads, we design BigQuery datasets with partitioning, clustering and cost controls, plus pipelines from your CRM, ads and app data. For applications, we deploy on Cloud Run or GKE depending on complexity, with CI/CD and monitoring. Migrations from other clouds or on-premise follow a planned wave approach. Everything is defined in Terraform and documented.

  • A phased roadmap tied to business goals
  • Migrations planned to avoid downtime
  • Costs reviewed and reduced where possible

Working with Nians

One strategist owns your plan and brings in the specialists it needs. You hear from us every week, and every piece of work starts with an audit.

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What’s included

What our Google Cloud Consulting Services include

The usual building blocks. We drop what you don’t need and add what you do.

Assessment

Current state of systems, costs and capabilities.

Roadmap

A phased plan tied to business outcomes.

Implementation & migration

Delivered with minimal disruption.

Operations & governance

Security, compliance and access controls.

Cost & performance optimisation

Spend reduced while speed improves.

Ongoing advisory

Senior guidance as your business scales.

Our process

How we deliver

You see the plan before any work starts.

Assess

Current systems, costs, risks and skills.

Roadmap

A phased plan tied to business priorities.

Migrate & build

Workloads moved or built with rollback plans.

Secure

Access, backups, monitoring and compliance in place.

Optimise

Costs and performance reviewed every month.

FAQ

Questions we often hear

Straight answers to the things clients ask us most. If yours isn’t here, just ask.

Still have a question?Talk to a strategist. We usually reply within one working day.Ask us directly
Is Google Cloud good for analytics and BigQuery?
Yes, it is one of GCP's strongest areas. BigQuery handles large datasets without managing servers, and connects easily with GA4, Google Ads, Looker Studio and Vertex AI. Setting partitioning and query controls keeps costs predictable.
How do we control BigQuery costs?
Partition and cluster large tables, avoid SELECT * on wide tables, set custom query quotas, use materialised views or scheduled summary tables for dashboards, and consider capacity pricing for steady heavy usage. Monitoring query costs by user helps find the culprits.
Which cloud providers do you work with?
AWS, Microsoft Azure and Google Cloud. We will recommend the one that fits your workloads and team rather than our preference.
Next step

Let’s plan your next stage of growth.

A free 30-minute session with a senior Nians strategist. You leave with a prioritised plan, whether or not you work with us.

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Free · 30 minutes
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