Data Strategy & Governance

The Problem

You're collecting more data than ever. But your reports contradict each other, nobody agrees on which number is "the truth", and every ad-hoc request turns into a fire drill.

Without a strategy, data is overhead — not an asset.

How We Tackle It

We begin with a data maturity assessment: a structured audit of your infrastructure, data quality, governance practices, analytical capability, and culture. No assumptions — just an honest, scored baseline you can share with your leadership team.

From that baseline, we build a pragmatic roadmap. Not a five-year transformation deck that gathers dust. A phased, achievable plan with milestones your team can actually hit — designed around your resources, your industry, and your growth trajectory.

Then we put the governance framework in place: data ownership, agreed definitions, quality rules, and lightweight processes that keep everything healthy over time without becoming bureaucratic.

What You Get

• Data maturity assessment report (scored across five dimensions)
• Current-state data landscape map
• Strategic data roadmap (12–36 months, phased)
• Data governance framework document
• Data ownership matrix — who owns what, and who's accountable
• Data dictionary template with initial population
• KPI and metric definition register
• Tooling and infrastructure recommendations

Tools & Technologies

• Microsoft Power BI (reporting maturity assessment)
• Microsoft Fabric (platform strategy)
• Azure Data Factory (pipeline strategy)
• Collibra / Alation (governance tooling evaluation)
• Proprietary assessment frameworks

Who This Is For

• Organisations launching their first formal BI initiative
• Companies that grew their data infrastructure organically and now face inconsistency and mistrust in their numbers
• Leadership teams preparing for digital transformation
• Organisations needing to demonstrate data governance to regulators or enterprise clients