Complete analytics architecture
Data Engineering & Analytics Pipelines
Turn your product data into insights, automation, and real business growth
About
We build end-to-end analytics systems: event tracking, ETL pipelines, data warehouses, dashboards, product analytics, and decision-making tools for startups and digital businesses. Reliable data → better decisions → faster growth.
Benefits
Why Data Engineering Matters for Startups
You can't grow if you can't measure
Most startups collect data — but almost none turn it into real insight. We fix that by building a clean, reliable, automated analytics foundation:
Every key event is tracked
Every metric is calculated correctly
Every dashboard is connected to real product behavior
Every team sees the same numbers
Delivery
What We Build
Event Tracking & Product Analytics
- A complete tracking system for your product:
- Page views, interactions, funnels
- Sign-up flows & onboarding
- Feature usage
- User journeys
- Error tracking
- Marketing attribution
- Tools: Google Analytics 4, Supabase / Postgres events, Vercel Analytics, RudderStack / Segment, Sentry, Custom scripts for advanced events
- You get clean, structured data — not a mess.
ETL Pipelines (Extract → Transform → Load)
- We connect your systems into one clean source of truth:
- CRM (HubSpot, Bitrix24, Pipedrive)
- Payment systems (Stripe, Paddle)
- Website & product analytics
- Databases (PostgreSQL, Supabase, MySQL)
- Marketing tools
- Internal tools
- Schedule: Nightly, Hourly, In real-time
- You get reliable data for daily decisions.
Data Warehouse Setup
- We design and deploy modern, scalable data warehouses:
- ClickHouse — extremely fast analytics
- BigQuery — serverless and enterprise-ready
- PostgreSQL — ideal for startups
- Supabase — integrated with frontend + real-time
- This is where all your data lives — clean, consistent, ready for dashboards.
Dashboards & BI Systems
- We build dashboards for:
- Founders
- Product teams
- Operations
- Sales
- Marketing
- Tools: Metabase, Grafana, Supabase dashboards, BI tools, Custom dashboards in Next.js
- Metrics: Usage metrics, Conversions, Retention, Cohorts, Revenue metrics, Custom KPIs
- Everything you need in one place.
Predictive & Automated Insights
- We add intelligence on top of your data:
- Forecasts
- Churn probability
- Revenue projections
- Anomaly detection
- Automated weekly reports
- Alerts for unusual patterns
- This gives startups enterprise-level intelligence at a fraction of the cost.
Data Governance & Security
- Built for GDPR and EU compliance:
- Encryption
- Access control
- Secure environments
- Logging & audit trails
- Data retention policies
- Your data stays protected and well-structured.
Process
How It Works
01
Step 1 — Audit & Mapping
We analyze your current data, tracking, databases, and dashboards.
02
Step 2 — Architecture
We design the data model, pipelines, warehouse, and dashboards.
03
Step 3 — Implementation
We build events, pipelines, dashboards, and integrations.
04
Step 4 — Automation
We set up monitoring, alerts, and automated reports.
05
Step 5 — Continuous Optimization
We evolve your analytics as your product grows.
Deliverables
What You Get (Deliverables)
Event tracking system (documented)
ETL pipelines
Data warehouse
Dashboards
Monitoring & alerts
Weekly/monthly reporting
Technical documentation
A reliable foundation for growth
Results
Typical Results
Companies usually see:
2× faster product decisions
20–40% improvement in onboarding funnel
15–35% improvement in retention
Clear visibility of where users drop off
Automated reporting that saves hours per week
No more "guessing" meetings
Audience
Who This Is For
Startups — You need real data to scale and raise investment.
Growing SaaS — Better funnels → better revenue → better retention.
Digital Businesses — Dashboards for management and operations teams.
E-commerce — Complete visibility of conversions, lifetime value, and cohort behavior.
Enterprises — Internal process dashboards, ETLs, BI, analytics governance.
Use Cases
Example Use Cases
Product Funnel Analysis
Track sign-up → onboarding → conversion → retention.
Unified Customer View
Combine product activity + CRM + payments.
Marketing Attribution
See which channels actually generate high-LTV customers.
Real-Time Analytics
Track user actions in seconds.
Operational Dashboards
Monitor productivity, tasks, internal processes, or orders.
FAQ
FAQ
If you have more than 2–3 data sources — yes.
From 1 to 6 weeks depending on complexity.
Yes — we fix and rebuild broken analytics systems.
ClickHouse, BigQuery, PostgreSQL, Supabase, Metabase, Grafana, custom dashboards.
Yes — we design and implement analytics setups aligned with GDPR and data protection requirements.
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