Build Your Analytics Foundation
$70,000 - $90,000 • 8-10 weeks
Starting from scratch or complete rebuild? Get a comprehensive data platform strategy that covers business objectives, team structure, platform selection, architecture design, and a clear 12-month roadmap.
Who This Is For
This package is designed for scale-ups ($10M-100M revenue) in one of these situations:
- Starting from scratch: You're building your first analytics capability and need to get it right
- Complete rebuild: Your current approach isn't working and you need to start over
- Post-acquisition: Merging data systems and need unified strategy
- Platform decision: Evaluating Snowflake vs. Databricks vs. Fabric and need objective guidance
What You Get
A complete data platform strategy covering all five essential questions:
1. Business Value & Priorities (WHY)
- Mapping of key business decisions and data requirements
- Prioritization framework for analytics use cases
- Expected business outcomes and success metrics
2. Organisation & Capabilities (WHO)
- Assessment of current team capabilities
- Organisational design recommendations (centralised vs. embedded)
- Role definitions and hiring priorities
- Skill gap analysis
3. Data Landscape (WHAT)
- Current data sources and systems mapping
- Data quality and availability assessment
- Critical data gaps identification
4. Platform & Architecture (HOW)
- Analytics platform recommendation (Snowflake, Databricks, Fabric, etc.)
- Level 0 reference architecture with data domain organisation
- Technology stack recommendations
- Total Cost of Ownership (TCO) modelling
- Governance framework foundations
5. Strategic Roadmap (WHEN)
- 12-month phased implementation plan
- Dependency mapping and sequencing
- Investment model and resource requirements
- Quick wins and long-term initiatives
How It Works
Week 1-2: Discovery & Assessment
Strategic questionnaires to leadership and data stakeholders. Review existing documentation, systems, and team structure. Conduct focused interviews with key stakeholders.
Week 3-4: Analysis & Design (WHY + WHO + WHAT)
Analyse business priorities and use cases. Assess organisational readiness and capabilities. Map current data landscape and identify gaps.
Week 5-7: Platform Selection & Architecture (HOW)
Evaluate analytics platforms against your requirements. Design Level 0 architecture. Create governance framework. Model Total Cost of Ownership.
Week 8-10: Roadmap & Presentation (WHEN)
Develop 12-month implementation roadmap. Create investment model. Build executive presentation. Review and refine recommendations.
Final Deliverables
Strategic Assessment
Business value mapping, organisational assessment, and data landscape analysis
Platform Recommendation
Detailed platform selection rationale with TCO analysis
Reference Architecture
Level 0 architecture diagrams showing data domains and integration patterns
Organisation Design
Team structure, roles, and hiring priorities
Governance Framework
Data governance foundations and operating model
12-Month Roadmap
Phased implementation plan with dependencies and investment model
Executive Presentation
Board-ready deck summarizing strategy and recommendations
Implementation Partners
Vetted partner introductions for implementation phase
Why This Approach Works
Starts with business, not technology: Most consultants lead with platform features. I start with your business objectives and work backwards to technology that fits.
Considers your team reality: Platform selection depends on your team's skills and structure. Centralized SQL teams need different platforms than distributed engineering teams.
Objective analysis: Questionnaire-based approach removes politics and personal bias. Recommendations are grounded in evidence, not opinions.
De-risks investment: $80K strategy engagement before $200K+ implementation spend. Validate approach before committing major resources.
Implementation-ready: Detailed enough for partners to execute, but strategic enough for leadership to understand.
Investment
Fee: $70,000 - $90,000 (depends on organisation complexity and number of data sources)
Timeline: 8-10 weeks from kickoff to final presentation
Payment: 50% at start, 50% at delivery
What's included: All discovery, analysis, design, documentation, and executive presentation. Up to 3 rounds of refinement based on feedback.
What's not included: Implementation, migration, or ongoing support (can introduce vetted partners)
Ready to Build Your Analytics Foundation?
Book a free 30-minute call to discuss your situation and see if this package is the right fit.