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Data Analytics

Your data already contains the answers you need. The problem isn't a lack of data—it's a lack of the right platform to extract value from it. Google Cloud offers the fastest and most scalable analytics infrastructure on the market, and we'll set it up for you.

~60%60% lower cost compared to on-premise data warehouses

Secondsin a matter of seconds for queries on petabytes of data

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The problem we solve

Most companies have data scattered across dozens of systems: CRM, ERP, spreadsheets, and legacy databases. Generating a reliable report takes days. Making a decision based on real data is nearly impossible.

Before

Data silos, manual reports in Excel, weeks to answer a business question, decisions based on intuition.

After (with CBT)

Data centralized in BigQuery, real-time dashboards in Looker, responses in seconds, data-driven decisions.

Our framework is based on 5 pillars

We don't just sell you individual tools—we guide you through a comprehensive data journey using a proven framework:

Data Strategy

We identify what data you need, where it is located, and how it should flow. We create a clear roadmap: what to migrate first, which metrics matter, and how to measure ROI.

Fundamentals: Modern Data Warehouse

We implement BigQuery as your central data warehouse: serverless, with no infrastructure to manage, and capable of processing petabytes of data in seconds. We connect all your data sources using automated pipelines (Dataflow, Pub/Sub).

Visualization and BI with Looker

Interactive dashboards that update in real time. Self-service reports so each department can access its metrics without relying on IT. Automatic alerts when something goes wrong.

AI and Machine Learning in Practice

Predictive models with Vertex AI, built directly on your data in BigQuery. Demand forecasting, anomaly detection, customer segmentation—no need to hire data scientists.

Governance and ongoing support

Change management, team training, data governance, and managed support to ensure the platform evolves alongside your business.

Use Cases by Industry

This isn't just theory—these are the actual solutions we implement for our clients:

Retail / E-commerce

Demand and Inventory Forecasting

BigQuery ML for predicting demand by SKU and season. Reducing stockouts and overstocking using models trained on historical sales data.

Financial services

Real-time fraud detection

Streaming analytics with Pub/Sub + Dataflow to detect suspicious transactions in milliseconds. Anomaly models with Vertex AI.

Marketing

Multichannel Attribution and ROI

Consolidation of data from Google Ads, CRM, and web analytics in BigQuery. Dashboards in Looker to view actual ROI by channel, campaign, and segment.

Operations / Logistics

Route Optimization and Efficiency

Analysis of fleet data, delivery times, and operating costs. Operational dashboards displaying real-time KPIs.

Why BigQuery and not another solution?

BigQuery

Serverless, no infrastructure required. Pay-per-query. Scales to petabytes with no configuration. Built-in ML.

Redshift (AWS)

Requires cluster management. Manual scaling. Separate storage costs.

On-premises

Expensive hardware, licenses, maintenance. Scaling within weeks. High fixed costs.

The technology stack we use

BigQuery Looker Dataflow Vertex AI Dataproc Pub/Sub Cloud Storage BigQuery ML Dataplex

Frequently Asked Questions

An MVP using BigQuery and Looker can be up and running in 4–6 weeks. More complex projects involving multiple data sources and machine learning can take 2–3 months.

Not necessarily. We design and implement the platform, and we also offer managed data services to maintain it. We train your team so they can gradually become more self-sufficient.

Yes. BigQuery connects to Salesforce, SAP, MySQL, PostgreSQL, Oracle, REST APIs, CSV/JSON files, and virtually any data source you have.

BigQuery is a serverless, pay-as-you-go service: $6.25 per TB queried (on-demand) or a flat rate with reserved slots for high-volume usage. The first TB of queries per month is free. Storage costs $0.02/GB/month.

Ready to make data-driven decisions?

We’ll provide you with a free assessment of your data maturity and propose a concrete roadmap.

Start here

A woman sitting in a red chair using a laptop in front of a large screen displaying bar charts, pie charts, and sliders, next to a megaphone and a bullseye icon with an arrow.

Explore our suite of features

To help you become a data-driven organization, The Cloud Collective guides you through your data journey using a framework based on five key pillars

Define your data strategy with expert guidance, a vision, a roadmap, and established processes.

Build a foundation using a standardized methodology based on cloud and data architecture.

Develop a strategy using key data solutions such as Business Analytics, Looker, VertexAI, machine learning, and AI.

Support your new data strategy with The Cloud Collective’s Managed Data Services.

Support the entire project with Change Management, Project Management, and Cloud and Data Governance.

Looker

Create interactive reports and dashboards using Looker's web-based reporting tools
(formerly Google Data Studio).

Want to know more?

Start here

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