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Data & AI Training

Key Pillars of a Modern Data Strategy

Explore the core pillars of a modern data strategy – culture, analytics, architecture and data monetisation – and how they work together as a system.

Code: DS3 Track: Data Strategy Length: 1 hour (other formats available) Level: Foundation / Intermediate
Delivered with

Overview

This session breaks a modern data strategy into four practical pillars: culture, analytics, architecture and data monetisation. It shows how each pillar supports business value and what typically goes wrong when one is neglected.

Who it is for

  • Leaders shaping digital and data strategy.
  • Heads of Data, architecture and analytics teams.
  • Business owners who need to understand how data capability fits together.

What you will learn

  • The four core pillars of a modern data strategy.
  • How to balance investment across culture, analytics, architecture and monetisation.
  • How to spot structural weaknesses in your current strategy.
  • How to position data as a value driver, not a cost centre.

Agenda

  • Overview of the four pillars.
  • Deep dive: culture and literacy.
  • Deep dive: analytics and use cases.
  • Deep dive: architecture and platforms.
  • Deep dive: data monetisation and value realisation.
  • Discussion and examples from your context.

Delivery and format

Delivered as a 1 hour interactive virtual session, with options to extend into a 2 hour working session focused on your portfolio.

  • Format: Live virtual or on site.
  • Group size: Up to 25 participants recommended.
  • Optional: Follow-up roadmap working session with your leadership team.

Next steps

Often combined with DS1 · Data Strategy vs Data Governance, DS2 · Building a Data Strategy Roadmap and DS4 · Connecting Strategy to Operations as a three-part leadership series.