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Modernize Your Data Platform

$75,000 - $95,000 • 8-10 weeks

Stuck on legacy systems that can't scale? Get a strategic migration path from on-premise, traditional data warehouses, or outdated cloud platforms to modern analytics infrastructure.

Who This Is For

This package is designed for scale-ups dealing with:

  • Legacy on-premise systems: Oracle, SQL Server, Teradata that can't handle your growth
  • Outdated cloud platforms: Early cloud decisions that no longer fit your needs
  • Performance bottlenecks: Queries taking hours, reports timing out, users frustrated
  • Scaling challenges: Current platform can't handle data volume or user growth
  • Cost inefficiency: Paying too much for too little capability

What You Get

A comprehensive migration strategy covering:

1. Business Drivers & Success Criteria (WHY)

  • Analysis of why current platform is failing
  • Business case for migration investment
  • Success metrics and expected outcomes

2. Team Readiness Assessment (WHO)

  • Current team skills and capabilities
  • Skill gap analysis for target platform
  • Training and hiring recommendations
  • Change management considerations

3. Current State Analysis (WHAT)

  • Inventory of existing data sources and systems
  • Data volume, complexity, and quality assessment
  • Critical dependencies and integration points
  • Migration complexity evaluation

4. Target Platform & Migration Architecture (HOW)

  • Target platform recommendation (Snowflake, Databricks, Fabric, etc.)
  • Target state architecture design
  • Migration patterns and approach (big bang vs. phased)
  • Dual-running strategy and cutover plan
  • Risk mitigation and rollback procedures

5. Migration Roadmap (WHEN)

  • Phased migration plan with clear milestones
  • Workload prioritisation (what to migrate first)
  • Resource requirements and timeline
  • Cost modelling (migration + ongoing TCO)

How It Works

Week 1-2: Current State Assessment

Document existing platform, architecture, and pain points. Inventory workloads, data sources, and integrations. Assess team capabilities and readiness.

Week 3-4: Business & Team Analysis

Analyse business drivers for migration. Assess team readiness and skill gaps. Define success criteria and constraints.

Week 5-7: Target Platform & Migration Design

Evaluate target platforms against requirements. Design target architecture. Develop migration approach and sequencing. Model costs.

Week 8-10: Roadmap & Recommendations

Create phased migration roadmap. Document risks and mitigation strategies. Build business case. Present recommendations.

Final Deliverables

Current State Analysis

Documentation of existing platform, workloads, and pain points

Business Case

Migration justification with cost-benefit analysis

Platform Recommendation

Target platform selection with detailed rationale

Target Architecture

Future state architecture diagrams and design principles

Migration Strategy

Detailed migration approach, patterns, and sequencing

Risk Assessment

Migration risks with mitigation strategies and rollback plans

Migration Roadmap

Phased plan with milestones, dependencies, and resource requirements

Partner Introductions

Vetted migration partners for implementation

Why This Approach Works

Objective platform selection: I'm not selling Snowflake or Databricks. I evaluate what actually fits your needs, team, and budget.

Migration reality check: Most migrations fail because they underestimate complexity. I've done this before and know where the bodies are buried.

Phased approach: Big bang migrations are risky. I design phased approaches that deliver value incrementally and reduce risk.

Team-centric: Platform choice depends on your team's skills. I won't recommend Spark if your team is SQL-focused.

Cost-conscious: Migration costs add up fast. I model both migration and ongoing costs so there are no surprises.

Common Migration Scenarios I Handle

  • On-premise to cloud: Oracle/SQL Server/Teradata → Snowflake/Databricks/Fabric
  • Cloud to cloud: Redshift → Snowflake, BigQuery → Databricks, etc.
  • Modernisation: Traditional ETL → modern ELT/data pipelines
  • Consolidation: Multiple legacy systems → single modern platform
  • Platform switching: Reconsidering early cloud platform decisions

Investment

Fee: $75,000 - $95,000 (depends on current platform complexity and migration scope)

Timeline: 8-10 weeks from kickoff to final presentation

Payment: 50% at start, 50% at delivery

What's included: All assessment, analysis, design, migration planning, and executive presentation.

What's not included: Actual migration execution (can introduce vetted partners with fixed-price migration quotes)

Ready to Modernize Your Platform?

Book a free 30-minute call to discuss your current platform and migration challenges.