Why It Matters

Data without strategy is just noise.

Most organisations collect data but struggle to convert it into decisions, products, or competitive advantage. A clear data strategy changes that by aligning your people, processes, and technology around outcomes that matter.

Aligned InvestmentsEvery data initiative maps directly to a business outcome with no wasted spend.
Faster Decision-MakingTrusted, governed data reaches decision-makers at the speed of business.
AI-Ready FoundationA mature data estate is the prerequisite for any meaningful AI or ML programme.
01

People

Roles, culture, and data literacy across the organisation.

02

Process

Governance, workflows, and data lifecycle management.

03

Technology

Platforms, architecture, and the modern data stack.

04

Governance

Compliance, quality, lineage, and data ownership.

The four pillars of a complete data strategy

What We Deliver

Eight advisory services, each designed to address a specific layer of your data strategy

01

Data Roadmap Development

Build a 3-5 year strategy covering infrastructure, analytics, AI adoption, and the organisational shifts required, with phased milestones and financial checkpoints built in.

3–5 Year Vision ROI Milestones
02

Data Maturity Assessment

Benchmark your current data capabilities, governance posture, and team skills against industry standards. Receive a prioritised transformation plan with clear ROI metrics.

Gap Analysis Benchmarking
03

Use Case Identification

Surface the highest-value data and AI opportunities hiding in your business. We prioritise by impact, effort, and time-to-value so your team acts on what matters most first.

Prioritisation Matrix Quick Wins + Big Bets
04

Organisational Design

Design the right team structure: centralised CoE, decentralised, or federated. Define roles, accountabilities, and the change management programme to make the shift work.

CoE Design Change Management
05

Data Governance Framework

Build governance policies, data ownership models, lineage controls, and quality assurance frameworks that enforce compliance and build enterprise trust in data.

Policies & Ownership Compliance Controls
06

AI & ML Readiness

Assess your readiness for AI adoption. Define the data quality thresholds, infrastructure requirements, and phased AI deployment strategy your organisation needs to succeed.

Readiness Scorecard AI Deployment Plan
07

Vendor Selection & RFP

Independent, vendor-agnostic evaluation of technology platforms. We draft RFPs, score responses, facilitate demos, and support commercial negotiations on your behalf.

Vendor-Agnostic RFP + Negotiation
08

Business Case Development

Construct compelling, board-ready business cases for data investments. ROI projections, funding strategies, and executive alignment decks that turn strategy into approved budgets.

ROI Projections Executive Alignment

Strategy That Delivers Results

Measurable impact across every engagement

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Data Strategy Engagements

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Industries Served

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Years of Consulting Expertise

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Client Satisfaction Rate

Our Consulting Process

Six structured phases from current-state discovery to live execution. Every engagement follows this proven playbook.

01
Phase 1

Discovery & Alignment

Stakeholder workshops to map business objectives, current data landscape, and competitive pressures.

02
Phase 2

Maturity Assessment

Evaluate infrastructure, governance, team capabilities, and data quality against industry benchmarks.

03
Phase 3

Opportunity Analysis

Prioritise high-value use cases and quick wins by ROI potential, feasibility, and time-to-value.

04
Phase 4

Strategy & Roadmap Design

Produce the phased roadmap, governance model, architecture blueprint, and full investment plan.

05
Phase 5

Stakeholder Alignment

Executive presentations, business case finalisation, and change management to secure board-level buy-in.

06
Phase 6

Execution & Optimisation

Support live implementation, track KPIs, and iterate the strategy as your organisation evolves and scales.

Turn Data Into Competitive Advantage

Partner with Gennova's strategy team to build a data foundation that drives innovation, efficiency, and growth at enterprise scale.

Discuss Your Strategy Explore Data Engineering