BigQuery and Data Engineering Experts
If you are looking for the most precise and relevant data possible, BigQuery is usually the way to go. Transform your scattered data into a centralized, high-performance engine for growth. Nowadays, having data isn't enough, you need the infrastructure to activate it. Our boutique agency, Pragm, offers end-to-end Google Cloud Platform (GCP) and BigQuery solutions, helping businesses transition from fragmented reporting to unified, predictive analytics and Google Ads bidding. Whether you need to configure native Google integrations, build custom data pipelines, or deploy advanced machine learning models directly where your data lives, our BigQuery services bridge the gap between raw data and measurable business impact.
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Our BigQuery Services at a Glance
BigQuery and Data Engineering Services
Data Ingestion and Ecosystem Integration
If you want to get serious with your data, you need a real robust architecture which relies on specialized enterprise rate solutions. We build robust, automated pipelines to centralize your marketing, product, and sales data into a single source of truth. This includes the configuration of automated exports from Google Analytics 4 (GA4), Google Search Console (GSC), and Google Ads directly into BigQuery. But also the development of custom connectors to extract data from external platforms (CRMs, payment gateways, marketing automation tools) using APIs and webhooks, and the design of real-time or scheduled data imports to GCP, ensuring your data warehouse is always up-to-date.
Data Engineering and Transformation (ETL/ELT)
Because your raw data is rarely ready for analysis, we clean, blend, and model it so it is structured perfectly for reporting and analytics. This often requires architecting scalable ETL (Extract, Transform, Load) and ELT workflows to move data securely in and out of Google Cloud. We are used to write optimized SQL transformations and scripts to clean, standardize, and format raw data into aggregated tables for efficient dashboarding.
Data Enrichment and Advanced Architecture
When your data includes all the custom details (first party data) and context unique to your activity, you are able to go very far with your analysis and automations. GTM Server Side is a great tool for data enrichment, but Firestore and other GCP databases are great alternatives for real-time lookups and state management. Bringing in external dimensions (e.g., weather data, economic indicators, or custom dimension mapping) to deepen the context of your primary data.
Advanced Analytics and Predictive Modeling (BQML)
BigQuery and GCP are great solutions to enrich your analysis with performance prediction and add intelligence data enrichment using machine learning (ML). We help you train, evaluate, and deploy predictive models directly within BigQuery using standard SQL. We build models for churn prediction, Customer Lifetime Value (LTV) forecasting, and propensity-to-buy scoring. And we use unsupervised learning to uncover hidden audience segments for highly targeted marketing.
Data Activation and Reverse ETL
With the help of data blending and enrichment, ML and AI models, we can build intelligent data solutions which feed your operational tools to drive automated action. Pragm can build an ecosystem to push high-value customer signals, predictive LTV, and offline conversions back into Google Ads or other DSPs to train custom bidding algorithms. We use automated flows to enrich data and score metrics in connection with your CRM (e.g., Salesforce, HubSpot) or email marketing platforms to empower your sales and marketing teams.
Business Intelligence & Visualization
Data is only valuable if stakeholders can understand it. We connect your BigQuery backend to industry-leading visualization platforms for powerful, detailed rich dashboards and visualizations which include automated AI built data analysis.
BigQuery Training
At Pragm, we’ve been training technical marketing experts for years at BigQuery data analysis and manipulation. We are specialized in Google Search Console BigQuery data, but we also offer on demand specialized sessions addressing other demands.
Our BigQuery TrainingsAI Automated Analysis and Monitoring, Custom Bidding Data
What is great with Google Cloud is that you have access to an incredible amount of integrated tools to do data enrichment, storage, manipulation, as well as leveraging custom machine learning (ML) and AI models. All of that with connections to pretty much all APIs and other solutions out there. For a few years now, we’ve developed solutions for our clients to use ML for performance prediction, but also for automated AI analysis, monitoring and alerts based on GA4, Google Search Console and Google Ads data. The aim is to give dynamic, proactive and powerful tools for our clients marketing teams. We also use this approach to super charge Google Ads bidding based on machine learning and signals coming from GA4 and your CRM. The goal is to help Google Ads’ AI get even better data to target the most promising audience.
Why Pragm is Qualified to Help You With BigQuery and Your Data Engineering
At Pragm, we are data driven all the way and although we don’t collect and process data just for fun, we know how to leverage the different tools provided by Google Cloud, but also Python libraries and other data sources to help you take better decisions, facilitate your data needs and super charge your marketing efforts. We are both technical marketing experts with the know how. We know SQL and Python, as well as BigQuery and Google Cloud. But we are also marketers who speak your language!
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FAQ
Do I need to use BigQuery, data pipelines, a data warehouse… for my web analytics?+−
Not necessarily. For many companies or organizations, it can be overkill. If having your data in GA4, or in a dashboard directly connected to the data sources you want to use is enough, BigQuery is maybe not for you. If you don't need heavy data personalization, blending or enrichment, if you don’t want to use an inhouse data warehouse… those services may not be for you. However, BigQuery can be used for simple tasks, just to export more detailed GA4 or Google Search Console data, for instance, to backup Google Ads data, or just blend CRM and GA4 data. So, those advanced analytics services are not necessarily aimed at super complex outcomes.
What are the additional recurring costs for using Google Cloud, BigQuery and other data solutions listed in the page?+−
The solutions used for the advanced data processing and management mentioned above are not free. The cost truly varies based on what you need since each API / service is billed in a different way. BigQuery, for instance, is billed based on the amount of data stored and the queries to access it. But it is a very efficient and cheap solution. We also know how to minimize the costs and optimize the processes to do so.
Does Pragm use proprietary solutions to complete the data engineering tasks the agency offers?+−
We can develop custom scripts and solutions based on specific needs. However, for governance and ownership reasons, we aim at keeping it all in Google Cloud whenever possible, use all the GCP available tools (for simplicity and cost) and document our work. We don’t own what we build, we do it for you and you keep what is done.
Do we need to have developers or people who know BigQuery or Google Cloud to use those services?+−
No, we bring the expertise you need. But, as always, it depends on what you want to do. Some of our clients already have their own data infrastructure or want to develop one, and keep the ownership over it. We are flexible and can adapt our services based on your objectives and engineering needs / requirements. We often collaborate with our clients’ developers to complete our projects.
If I am interested in your data engineering services, do I need to get a retainer with all the services listed in the page?+−
No, we always provide custom services for your specific needs. Book a call with us and we will discuss what are your problems, your goals, your projects and we will offer the services and solutions that we believe capable of addressing it all.