We turn raw data into strategic decisions
Modern data architecture, executive dashboards, predictive models and privacy-by-design governance — delivered by a senior team that has already shipped 120+ analytics platforms.
60%
Faster financial close
4x
Speed to insight
100%
Auditable lineage
Stack we master
Reference architecture
From source to insight on a single platform
Four layers, native integration and end-to-end observability. A model proven across 120+ projects for leading enterprises.
Origins
Sources
Postgres
OLTP
Salesforce
CRM
S3 / Files
Raw
APIs
REST/GraphQL
Ingestion
Ingestion / ETL
Fivetran
CDC
Airbyte
Open-source
n8n
Workflows
dbt
Transform
Storage
Warehouse / Modeling
Snowflake
Cloud DW
BigQuery
Serverless
Databricks
Lakehouse
Consumption
Consumption (BI / ML / API)
Power BI
Self-service
Tableau
Exploration
Looker
Embedded
Vertex AI
ML
120+
projects delivered
50TB
processed per day
99.9%
pipeline SLA
8x
less reporting time
Power BI
Real-time decisions for the C-level
We deliver Power BI Enterprise with rigorous semantic modeling, row-level security and reliable refresh. Real adoption, not just pretty dashboards.
- Star schema (Kimball) modeling and optimized DAX
- Row-Level Security and per-business-unit workspaces
- Incremental refresh and on-prem gateway
- Native integration with Fabric and OneLake
- Composite models and Direct Lake
- Deployment pipelines (Dev → QA → Prod)
Real case
Monthly close for a retail operation
Before
9 days
Spreadsheets + manual reconciliation
After
2 days
Power BI + dbt + Snowflake
Discovery
KPI mapping by area, sources and SLAs.
Modeling
Star schema, DAX metrics, measure governance.
Visualization
Executive dashboards, drill-through and bookmarks.
Operation
Refresh, alerts, RLS and adoption tracking.
Comparison
Which tool actually fits your business
We don't sell technology — we help you choose. Here are the real trade-offs between the three leading BI platforms.
| Criterion | Power BI | Tableau | Looker |
|---|---|---|---|
| Licensing | Per user (Pro/PPU) | Per user (Creator/Viewer) | Per block / usage |
| Governance | Workspaces + RLS | Projects + Permissions | Centralized LookML |
| Semantic model | Star schema + DAX | Live or extract | Version-controlled LookML |
| Embedded AI | Copilot + Q&A | Tableau Pulse + GPT | Gemini in Looker |
| Relative price | $ | $$$ | $$ |
| Best for | Microsoft-centric, self-service | Deep exploratory analysis | Embedded analytics and SaaS |
Power BI
- Licensing
- Per user (Pro/PPU)
- Governance
- Workspaces + RLS
- Semantic model
- Star schema + DAX
- Embedded AI
- Copilot + Q&A
- Relative price
- $
- Best for
- Microsoft-centric, self-service
Tableau
- Licensing
- Per user (Creator/Viewer)
- Governance
- Projects + Permissions
- Semantic model
- Live or extract
- Embedded AI
- Tableau Pulse + GPT
- Relative price
- $$$
- Best for
- Deep exploratory analysis
Looker
- Licensing
- Per block / usage
- Governance
- Centralized LookML
- Semantic model
- Version-controlled LookML
- Embedded AI
- Gemini in Looker
- Relative price
- $$
- Best for
- Embedded analytics and SaaS
Tableau & Looker
Visual analytics without limits
When your team needs to dig deep into data or embed BI into digital products, Tableau and Looker shine. We implement both stacks at enterprise grade.
Advanced visual exploration
Ad-hoc analysis with drag-and-drop and LOD calculations.
Embedded analytics
Looker embedded into SaaS products with SSO and secure iframe.
Version-controlled LookML
Semantic model as code, with Git and PR reviews.
Tableau Pulse
Generative insights in natural language with live metrics.
Performance tuning
Extracts, hyper, materializations and partitioning.
Adoption and enablement
Training, internal communities and content governance.
Data Warehouse
A scalable single source of truth
Dimensional modeling, schema governance and cost optimization. We work with every major cloud and help you pick the right architecture.
Snowflake
Multi-cluster cloud DW with separated compute/storage
BigQuery
Serverless petabyte-scale with per-query pricing
Databricks
Lakehouse with Delta, Unity Catalog and native ML
Redshift
AWS-native with RA3 and Spectrum for data lake
Synapse
Microsoft, integrated with Fabric and OneLake
Postgres
Open-source for smaller analytical workloads
ETL & Pipelines
Reliable pipelines that run themselves
Modern data engineering: orchestration, automated tests, observability and CI/CD. The era of forgotten cron jobs on a random VM is over.
Apache Airflow
DAG orchestration, retries and per-task SLAs.
dbt Core / Cloud
Version-controlled SQL transformations with tests and docs.
Apache Spark
Distributed processing for massive volumes.
Fivetran / Airbyte
Ready-to-use connectors with CDC for 300+ sources.
Data CI/CD
GitHub Actions, blue-green deploy for dbt models.
Observability
Monte Carlo, Elementary and freshness metrics.
Governance & Privacy
Trust in data is a competitive advantage
We implement real data governance — not just PDF policies. Catalog, lineage, contracts and privacy compliance from day one.
Data Governance
- Data catalog (DataHub / Unity Catalog)
- Data contracts between teams
- Version-controlled business glossary
- Automated end-to-end lineage
- Stewards and domain ownership
Privacy & Compliance
- DPIA and personal data mapping
- Dynamic masking and tokenization
- Data subject rights (export, anonymization)
- Auditable consent and legal bases
- Access logs and configurable retention
Automated lineage
From source to dashboard, with full traceability
Analytics & ML
From dashboards to automated decisions
We take your data to the next level: predictive models, generative AI and automations that act on their own.
Demand forecasting
Prophet, ARIMA and neural network models for forecasts.
Customer scoring
Purchase propensity, churn and LTV running in production.
ML in production
Vertex AI, SageMaker and MLflow with real MLOps.
Generative BI
Natural-language Q&A over your warehouse.
Advanced segmentation
Clustering, RFM and data-driven personas.
Feature store
Central catalog of versioned features.
Interactive assessment
How mature is your data operation?
5 questions, 2 minutes. Get your stage and 3 tailored next steps.
How does your company consolidate data today?
How we work
4 stages to become a data-driven operation
A model delivered across 120+ projects. You don't buy hours — you buy measurable outcomes.
01
Discovery & Assessment
We map sources, KPIs, gaps and goals. Roadmap in 2 weeks.
02
Architecture & MVP
We design the stack and ship the first use case in 6–8 weeks.
03
Scale
We add new sources, dashboards, models and governance.
04
Sustain
Dedicated team for continuous improvement, observability and SLAs.
Why CCX
Senior team, real delivery, no empty promises
We don't build pretty slides. We deliver infrastructure, models and dashboards that run in production and back real decisions.
- Senior squad — analytics engineer, data engineer and scientist on the same team
- Value-based delivery, not billable hours
- Stack-agnostic: we work with Power BI, Tableau, Snowflake, BigQuery, Databricks
- Governance and privacy compliance from day one, not an afterthought
- Real knowledge transfer to your internal team
- 24/7 support with contractual SLA on enterprise plans
120+
data projects
50TB
processed per day
99.9%
pipeline SLA
8x
less reporting time
Next step
Ready to become a data-driven company?
30 minutes with a senior architect. No generic deck, no strings attached — just an honest diagnostic of your data operation.
120+ projects delivered · Serving Brazil + LATAM