Google BigQuery Consulting Services
Transform fragmented data into a scalable, high-performance analytics platform.
We help organisations design, implement, and optimise Google BigQuery environments that deliver faster reporting, lower maintenance costs, and a trusted single source of truth for business intelligence.
Why Organisations Choose Google BigQuery
Common BigQuery Challenges We Solve
Slow Queries
Poorly optimised datasets leading to slow, expensive reports
Disconnected Data Sources
GA4, CRM, ERP, marketing and operational data trapped in silos
Rising Query Costs
Inefficient architecture driving unnecessary BigQuery spend
Inconsistent Reporting
Different teams reporting different numbers
Poor Data Modelling
Difficult-to-use datasets that don’t support business reporting
AI & Analytics Readiness
Data foundations not ready for advanced analytics or machine learning
Our Google BigQuery Consultancy Services
Our Google BigQuery Consulting Service offerings tend to fall into three main categories.
End-to-End Projects
You can relax and let us handle your BigQuery data‑warehouse project from start to finish. Our team of Google Cloud and BigQuery specialists will work closely with you and your team to ensure everything is designed, built, and delivered smoothly.
Popular projects include migrating existing datasets into BigQuery from spreadsheets, legacy databases, on‑prem systems, or other cloud data warehouses, as well as modernising your overall data estate. We can also help design and implement robust data‑integration pipelines to bring data together from multiple sources and make it analytics‑ready.
We also offer our Management Information Health Check service, where we take a deep dive into your current data architecture and reporting setup, reviewing your People, Processes, and Technology to highlight opportunities for optimisation and improved data quality.
We can offer a time‑based service model, or if project requirements are clearly defined at the outset, we can also provide fixed‑price project options.
Embedded Consultants
If you want to boost your IT or data team with a Google BigQuery and cloud data‑warehouse expert, this model is perfect for you. You’ll work closely with one of our BigQuery professionals, who will support you with everything from data‑warehouse strategy and architecture to optimising data pipelines and modernising your integration processes.
This approach lends itself well to being offered as a block of time that can be called off and billed monthly, giving you flexible access to specialist expertise whenever you need it.
It’s also the ideal model if you have a broader or evolving set of data requirements where the exact project details cannot be fully determined up front. You can trust us to guide your team through successful data‑warehouse implementation, data‑integration improvements, and ongoing enhancement of your BigQuery environment.
Managed Services
We understand that your data‑platform needs will evolve over time, and we’re here to support you whenever and however you need us. With our managed services model, you can choose the right SLA for your BigQuery environment, data warehouse, and integration requirements.
We’ll work with you to ensure your data‑warehouse workloads are running efficiently, your BigQuery environment stays healthy, and your pipelines remain reliable. You can also call on us to help you overcome those day‑to‑day technical hurdles that your team may need extra support with.
We offer a flexible mentoring and advisory model, available online or on‑site, where we listen to your challenges and help you solve them on the spot—whether that’s optimising queries, improving data models, or refining your integration architecture.
With our broad range of data‑engineering and cloud services, and many years of experience building scalable analytics platforms, we’re confident that we can develop a long‑term working partnership with you.
We offer flexible packages designed to help you manage budgets effectively—so you only pay for what you use. We can do this because we’re confident that you’ll see the value we bring to your data ecosystem.
Our goal is simple: to help you get the most out of Google BigQuery and your wider data‑warehouse strategy.
Our BigQuery Consultancy Approach
Our Standard Google BigQuery Process.
We normally follow a five-stage consultancy process. Depending on the complexity of the project
Step 1 - Initial Meeting
We gain a high‑level understanding of your business processes, your current data landscape, and how you are utilising data today. From there, we begin shaping a modern data‑platform strategy centred around Google BigQuery.
We look closely at how your data is collected, stored, and integrated across systems, and we consider what your analytics and reporting needs will be—both now and in the future. This ensures we account for the ad‑hoc, exploratory, and advanced analysis needs that many consulting firms tend to overlook.
Step 2 - Top Level Plan
We build on the initial outline and map your core data sources, systems, and workflows to form a clear top‑level plan for your Google BigQuery data‑warehouse. Priority areas—such as critical data pipelines, integration requirements, and high‑value analytical use cases—are planned first.
At this stage, we further refine your requirements to shape a scalable data strategy aligned with your KPIs, objectives, and long‑term analytics vision.
Step 3 - Develop Solution
Following the agreed strategy, we begin developing the priority components of your BigQuery data‑warehouse. This includes building scalable data models, designing efficient schemas, and implementing the required data‑integration pipelines to bring your key datasets into BigQuery.
We work as closely as possible with your team, bringing them along on the journey and strengthening their knowledge throughout the process. This ensures they are fully prepared to support day‑to‑day operations and ongoing enhancements once the solution is live.
Step 4 - Training and Handover
Step 5 - Ongoing Support
Examples of Our Work
What You Get When You Work With Us
Faster Reporting
Optimised BigQuery environments that support fast, reliable reporting and analytics.
Lower BigQuery Costs
Reduce unnecessary query, storage, and processing costs through efficient architecture and optimisation.
Unified Data Platform
Consolidate data from multiple systems into a trusted single source of truth.
Trusted Business Intelligence
Give every team access to consistent KPIs, metrics, and reporting.
Customer & Marketing Analytics
Connect GA4 with sales, CRM, and operational data to gain deeper insight into customer behaviour and marketing performance.
BigQuery Expertise On Demand
Work directly with experienced consultants who combine technical expertise with business understanding.
Some Companies We Have Worked With
Industries
We provide Google BigQuery Consulting across multiple industries.
Explore how organisations in your sector use BigQuery to unify data from systems such as GA4, CRM platforms, ERP solutions, and operational databases to create a trusted foundation for analytics and business intelligence.
Common Google BigQuery Use Cases
Marketing & Customer Analytics
Combine GA4, CRM, and revenue data to improve attribution, customer visibility, and marketing ROI.
Business Intelligence
Create a trusted single source of truth for reporting, dashboards, and KPI management.
Data Warehouse Modernisation
Replace legacy databases, spreadsheets, and fragmented reporting environments.
Executive Analytics
Deliver reliable dashboards that support faster strategic decision-making.
Our BigQuery Professionals
Meet our BigQuery and Google Cloud data‑warehouse specialists.
Book a Free Google BigQuery Strategy Session
Speak directly with our Google BigQuery expert, Simon, to discuss your reporting challenges, data architecture, and analytics goals.
We’ll help you identify opportunities to improve performance, reduce complexity, and build a scalable foundation for business intelligence.
Other BigQuery Resources
You can read all of our BigQuery blog archives here
Frequently Asked Questions
How does BigQuery improve reporting speed compared to spreadsheets?
BigQuery is a serverless data warehouse designed to process massive datasets in seconds.
Unlike spreadsheets, which slow down as data grows, BigQuery centralizes your data and automates complex transformations, allowing your BI tools to pull pre-modelled, high-performance data instantly.
Is it difficult to migrate from legacy databases to BigQuery?
Not when managed correctly.
By using a phased approach, prioritising your most critical data pipelines first - you can modernise your data estate while maintaining the connectivity of your existing reporting tools, ensuring zero downtime for your daily business operations.
Does BigQuery work with Power BI and Tableau?
Yes, BigQuery is a data warehouse, not a visualisation tool. It acts as the "intelligence layer" that cleans and structures your data.
Once modelled in BigQuery, your data feeds directly into Power BI or Tableau, making your dashboards significantly faster, more reliable, and easier to maintain.
What is the difference between a BigQuery project and an embedded consultant?
An end-to-end project is a fixed-scope engagement where we deliver a specific data solution from start to finish.
An embedded consultant is a flexible "block of time" model where we join your team to provide ongoing strategy, architecture, and pipeline optimisation as your business requirements evolve.