Turn enterprise data into trusted decisions with BigQuery

BigQuery is a serverless data warehouse for analytics, machine learning and AI-ready data workloads. GoPomelo helps you design the data model, connect sources, establish governance and enable users.

How we engage

What BigQuery helps you do

Analyze data at scale

Query structured and unstructured data without managing analytics infrastructure.

Unify analytics workflows

Bring SQL, Python, notebooks, streaming data, and BI into one platform.

Build data and AI products

Use built-in machine learning and AI-assisted analysis on governed data.

Share trusted data

Manage access, metadata, quality, and data products across teams.

Why GoPomelo

Why GoPomelo

Data Strategy

Define priority decisions, source systems, and the target analytics operating model.

Migration & Modeling

Move data, design datasets, and build reliable transformation pipelines.

Governance & Access

Set ownership, permissions, quality controls, and trusted business definitions.

Performance & Cost Optimization

Tune workloads, capacity, and usage patterns as adoption grows.

How we work

4 stages from
kickoff to autonomy

One team from use-case discovery to rollout and
continuous improvement.

01/

Assess

Review source systems, analytical questions, data quality and ownership to define the implementation priorities.

01/

Assess

Review source systems, analytical questions, data quality and ownership to define the implementation priorities.

02/

Design

Define the data model, ingestion patterns, access controls and governance needed for trusted, scalable use.

02/

Design

Define the data model, ingestion patterns, access controls and governance needed for trusted, scalable use.

03/

Build

Create and test pipelines, models, analytics and integrations, validating outputs with business and technical owners.

03/

Build

Create and test pipelines, models, analytics and integrations, validating outputs with business and technical owners.

04/

Enable

Train analysts and data teams, monitor quality and usage, and evolve the platform as new data and use cases emerge.

04/

Enable

Train analysts and data teams, monitor quality and usage, and evolve the platform as new data and use cases emerge.

The next step

Ready to put Google BigQuery to work?

Tell us what you want to improve. We’ll help define the right scope, implementation plan and next step.