Open Source Software Migration

Migrating from proprietary analytics to open-source solutions.

Why Open Source?

Organizations choose open-source analytics for:

Data Ownership

Full control - Your data stays on your infrastructure
No vendor lock-in - Switch tools without losing history
Custom retention - Keep data as long as you need

Privacy Compliance

First-party data - No third-party cookies
GDPR-friendly - Data stays in your region
Consent flexibility - Customize consent requirements

Cost Efficiency

Predictable pricing - No per-event charges
Scale freely - Unlimited events and users
No surprises - Budget-friendly growth

Solutions We Implement

Plausible Analytics

Lightweight, privacy-focused analytics.

| Feature | Description | |---------|-------------| | Setup | Self-hosted or cloud | | Tracking | Cookie-free, privacy-focused | | Dashboard | Simple, actionable metrics | | Best for | Marketing teams, simple sites |

Matomo

Full-featured Google Analytics alternative.

| Feature | Description | |---------|-------------| | Setup | Self-hosted or cloud | | Tracking | Full event tracking capability | | Dashboard | Comprehensive reporting | | Best for | Enterprise, complex requirements |

PostHog

Product analytics with session replay.

| Feature | Description | |---------|-------------| | Setup | Self-hosted or cloud | | Tracking | Events, feature flags, experiments | | Dashboard | Product-focused analytics | | Best for | Product teams, SaaS |

Umami

Minimal, fast analytics.

| Feature | Description | |---------|-------------| | Setup | Self-hosted | | Tracking | Essential metrics only | | Dashboard | Clean, simple interface | | Best for | Performance-focused, developers |

Migration Process

Phase 1: Assessment

What we evaluate:

Current analytics usage and reports
Key metrics and KPIs
Integration requirements
Technical infrastructure

Deliverables:

Platform comparison matrix
Recommendation report
Migration plan

Phase 2: Parallel Implementation

Activities:

Install Open Source Software platform alongside existing
Configure tracking to match current setup
Run parallel tracking for validation
Compare data between platforms

Duration: 2-4 weeks parallel tracking

Phase 3: Data Migration

Options for historical data:

| Approach | Pros | Cons | |----------|------|------| | Export/Import | Complete history | Complex, time-consuming | | API Migration | Automated, accurate | Requires development | | Fresh Start | Simple, clean | Lose historical data |

Phase 4: Training & Transition

We provide:

Team training on new platform
Custom dashboard setup
Documentation and guides
Post-migration support

Infrastructure Options

Self-Hosted

Host on your own infrastructure:

Deployment options:
├── Cloud VMs (AWS, GCP, Azure)
├── Kubernetes clusters
├── Docker containers
└── Managed hosting providers

Considerations:

Full data control
Ongoing maintenance required
Team ops capability needed

Managed Hosting

Use vendor-hosted versions:

Lower maintenance burden
Still privacy-respecting
Quick to deploy
Predictable costs

Comparison: GA4 vs Open Source Software

| Aspect | Google Analytics 4 | Open Source | |--------|-------------------|-------------| | Cost | Free (limited) | Hosting costs | | Data ownership | Google | You | | Privacy | Third-party | First-party | | Compliance | Requires setup | Built-in options | | Features | Comprehensive | Varies by tool | | Support | Documentation | Community + paid |

Getting Started

Discovery call - Understand your requirements
Platform recommendation - Based on your needs
Proof of concept - Test implementation
Full migration - Complete transition

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