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.
How we start
Every engagement begins with an Architecture Sprint
Five working days. One senior engineer. A clear map of system boundaries, scaling risks, stack decisions, and a delivery roadmap — before a single line of production code.
5 days
Fixed scope, fixed price
1 senior engineer
Named from day one
Reduced risk
Rewrite risk lowered before the build
- 01Day 1
Discovery: domain, constraints, growth targets
- 02Day 2
System mapping: services, data, integrations
- 03Day 3-4
Stack decisions and risk model
- 04Day 5
Roadmap & costed delivery plan
Next step
Ready to start with architecture, not features?
Five days. One senior engineer. A clear path forward.
Book Architecture Sprint
Or talk to us first Get in touch
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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