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Google Cloud analytics

Google Cloud data analytics with BigQuery

We build analytics platforms on Google Cloud, with BigQuery at the centre, pipelines that load reliably and costs that stay visible.

  • BigQuery data modelling and partitioning
  • Dataflow, Pub/Sub and scheduled pipelines
  • GA4 and Google Ads exports
  • Vertex AI for machine learning

Google Cloud analytics services

BigQuery set-up

Projects, datasets, IAM and slot or on-demand pricing chosen deliberately.

Pipelines

Batch and streaming ingestion with Dataflow, Pub/Sub or third-party connectors.

Modelling

dbt or Dataform models with tests and documentation.

BI and ML

Looker, Looker Studio or Power BI on top, and Vertex AI where models add value.

How an analytics engagement runs

  1. Step 1

    Questions first

    We agree the decisions the data should support and the measures that matter.

  2. Step 2

    Data review

    We profile your sources, note quality issues and confirm what is feasible.

  3. Step 3

    Build in slices

    Pipelines, models and reports are delivered one subject area at a time.

  4. Step 4

    Hand over

    Documentation, access controls and training so your team can run and extend it.

Frequently asked questions

How do we keep BigQuery costs under control?

Partitioning, clustering, query limits and monitoring dashboards together make costs predictable.

Can you work with the tools we already pay for?

Yes. We usually build on your existing cloud, warehouse and BI licences, and recommend new tools only when there is a clear gap.

Tell us what you are working on

Share your goals and current setup. We will come back with questions, a suggested approach and the next steps.

Contact Raushang4 Technology