Google Cloud Analytics Consulting
Serverless data infrastructure that scales and stays cheap
We build analytics stacks on Google Cloud Platform - BigQuery for warehousing, Cloud Functions for ETL, Dataform for transformations. Serverless architecture means no servers to manage and costs that scale with actual usage, not headcount.
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GCP Analytics Services We Deliver
BigQuery Data Warehouse
We design and deploy BigQuery as your central data warehouse. Serverless, pay-per-query pricing means you never manage infrastructure and only pay for the data you actually analyze.
Data Pipeline Automation
Cloud Functions, Cloud Scheduler, and Dataflow for automated data ingestion. We build serverless pipelines that pull from APIs, databases, and SaaS platforms on schedule.
GA4 to BigQuery Integration
Native GA4 export to BigQuery with custom transformations, session stitching, and attribution modeling. Turn raw GA4 event data into analyst-ready tables your BI tools query directly.
dbt on BigQuery
Data transformation with dbt and Dataform. We build version-controlled SQL models, automated testing, and documentation that turn raw BigQuery tables into clean analytics layers.
Cloud Functions & Serverless ETL
Python-based Cloud Functions for event-driven data processing. Extract from APIs on schedule, transform in-flight, and load to BigQuery - all without managing servers.
Cost Management & Optimization
BigQuery slot reservations, partition pruning, clustering, and query optimization. We keep your GCP analytics bill predictable even as data volumes grow.
BI Tool Connection
We connect Power BI, Tableau, Looker Studio, or Domo directly to BigQuery with optimized views, materialized tables, and proper BI Extract configurations.
ML & Vertex AI
BigQuery ML for in-warehouse predictions, and Vertex AI for production ML models. We build forecasting, segmentation, and anomaly detection that runs inside your GCP environment.
GCP Analytics Case Studies
Real projects built on Google Cloud Platform.
Showing 3 case studies
Affiliate Marketing Dashboards: Unified Performance Tracking
Learn how affiliate teams replaced spreadsheets with unified dashboards to track performance across networks, identify profit leaks, and optimize ROAS.
Read case study →
Amazon Ads Reporting with Power BI for Food & Beverage
How a snack manufacturer replaced manual Amazon Ads tracking with automated Power BI dashboards to optimize spend, measure ROAS, and guide marketing decisions.
Read case study →Healthcare Data Warehouse: GA4 & CRM in BigQuery
Discover how we built a healthcare data warehouse in BigQuery, integrating GA4, CRM, and app analytics to optimize subscriptions and reduce churn.
Read case study →Struggling with Cloud Analytics?
- Your GA4 data sits in BigQuery but nobody knows how to query the nested event schema.
- You need a data warehouse but do not want to manage database servers.
- Your current ETL processes run on a VM that crashes when data volumes spike.
- GCP billing is unpredictable because nobody set up budgets, alerts, or query optimization.
- You want to connect multiple data sources into one warehouse but lack the engineering capacity.
- Marketing and product teams need unified analytics but data lives in separate platforms.
Why Choose Witanalytica for GCP?
Serverless-First Architecture
We default to serverless GCP services: BigQuery, Cloud Functions, Cloud Scheduler. No servers to maintain means your IT team focuses on business problems, not infrastructure.
Cost Transparency
BigQuery charges per TB scanned. Cloud Functions charge per invocation. We design architectures that keep GCP costs at $100-$500/month for most mid-sized company workloads.
GA4 + BigQuery Specialists
We have built GA4-to-BigQuery data warehouses for healthcare, marketing, and e-commerce companies. We know the nested event schema and how to flatten it for BI tools.
Production GCP Deployments
Three case studies running on GCP in production: healthcare data warehouse, affiliate marketing analytics, and Amazon ads reporting - all built with BigQuery and Cloud Functions.
Our GCP Implementation Process
We review your current data sources, GCP setup (if any), and analytics requirements. We assess data volumes, refresh needs, and downstream consumers.
We design the project structure, BigQuery datasets, IAM roles, networking, and cost controls. Serverless-first architecture to minimize operational overhead.
We build automated pipelines using Cloud Functions, Dataflow, or Python scripts to ingest data from your sources into BigQuery on reliable schedules.
We build the analytics layer: staging, intermediate, and mart tables using dbt or Dataform. Partitioned, clustered, and optimized for BI query patterns.
We connect your BI platform to BigQuery, validate data accuracy, optimize query performance, and ensure scheduled refreshes work reliably.
We configure budgets, alerts, partition pruning, and slot reservations. We document the architecture and train your team on GCP console basics and cost monitoring.
We review your current data sources, GCP setup (if any), and analytics requirements. We assess data volumes, refresh needs, and downstream consumers.
TESTIMONIALS
Witanalytica’s expertise in big data engineering and visualization complements our digital media audit and customer analytics services. Collaborating with them allows us to deliver end-to-end analytics solutions and services, without the risks and investments associated with building these capabilities in-house.
Silviu Toma
Senior Partner, Microanalytics
Our GCP Analytics Consulting Pricing Models
Transparent pricing built for long-term partnerships, not one-off transactions.
On-Demand Expertise
All tasks are tracked, and the corresponding invoice of the delivered services is billed monthly.
| Activity | Hourly Rate |
|---|---|
| Data Engineering & Database Administration | $110 |
| Business Intelligence Reporting | $90 |
| Data Science | $120 |
Reserved Capacity Agreement
- Pre-purchase a package of monthly working hours that guarantees reserved capacity and priority availability, regardless of our workload.
- Because this capacity is exclusively allocated to you, unused hours do not carry over to the following month.
| Hours Package | Price |
|---|---|
| Every 50 hours | $4,500 10% savings |
Alternatively, we also offer project-based pricing
For well-defined engagements, we scope the full project upfront and agree on a fixed fee, so you know exactly what to expect.
Your Goals, Our Expertise
We start from your strategic objectives and work our way back to the right mix of solutions and technologies, not the other way round.
Book a Consulting CallGCP & BigQuery Resources
Guides on BigQuery, GA4 exports, and cloud data architecture.
3 articles
GA4 vs Power BI vs Databases: OLTP, OLAP, and Schemas Explained
GA4, Power BI, and BigQuery handle data differently. Understand schemas, OLTP vs OLAP trade-offs, and when to use each type of data product in your stack.
Identity Resolution: Unifying Customer Data for Marketing
Customer data scattered across CRM, email, ads, and web analytics? Identity resolution unifies fragmented profiles for precise targeting and attribution.
Google Analytics to BigQuery: Export Scenarios and Use Cases
GA4 data in BigQuery unlocks analytics beyond standard reports. See real scenarios: cohort analysis, ML recommendations, and cross-platform attribution.
Frequently Asked Questions
BigQuery charges $6.25/TB scanned for on-demand queries and $0.02/GB/month for storage. A typical mid-sized company running BI dashboards and scheduled reports spends $50-$300/month. We optimize with partitioning, clustering, and materialized views to keep costs low.
BigQuery is simpler and serverless - no warehouse sizing, no cluster management. It is ideal if you use other GCP services or GA4. Snowflake offers more control over compute and better multi-cloud support. For most mid-sized companies without strong cloud preferences, BigQuery is the faster and cheaper starting point.
Yes. BigQuery works as a standalone data warehouse. You do not need to move your entire infrastructure to GCP. Data can be loaded from AWS, Azure, on-premises, or any source via APIs and scheduled pipelines.
GA4 exports raw event data into a deeply nested schema. We build transformation layers that flatten events into session-level and user-level tables, stitch user journeys, build attribution models, and create views optimized for Tableau, Power BI, or Looker Studio.
No. Serverless GCP architecture requires minimal operational maintenance. We set up monitoring, alerting, and cost budgets so your IT team can manage day-to-day operations. For changes or new data sources, we offer support retainers.
BigQuery (warehouse), Cloud Functions (serverless ETL), Cloud Scheduler (job scheduling), Cloud Storage (file staging), Dataform or dbt (transformations), and Cloud Run (containerized services). We pick the minimal set needed for your use case.
Yes. Both have native BigQuery connectors. We configure the connection with service accounts, optimize views for BI query patterns, and set up scheduled extracts when live connections are too slow for large datasets.
A BigQuery setup with 2-3 data sources and BI connection takes 3-5 weeks. A full GA4 data warehouse with transformation layers and multiple BI outputs takes 6-10 weeks. We scope every project upfront.
GCP meets SOC 2, ISO 27001, HIPAA, and GDPR compliance requirements. We configure IAM roles, VPC Service Controls, column-level security, and audit logging to match your data sensitivity and compliance needs.
We offer two engagement models with transparent pricing.
On-Demand Expertise
All work is tracked and billed monthly at hourly rates:
- Data Engineering & Database Administration - $110/hr
- Business Intelligence Reporting - $90/hr
- Data Science - $120/hr
Reserved Capacity Agreement
- Pre-purchase a 50-hour monthly package at $4,500 (10% savings)
- Guaranteed priority availability regardless of our workload
We also offer project-based pricing for well-defined engagements.
Contact us to discuss the best fit for your needs.