Catalogue/Tier 3 · Job Skills/Business Operations

AI+ for Data Visualisation cover

T3-34 · Tier 3 · Job Skills

AI+ for Data Visualisation

Turn Numbers Into Stories People Understand

Charts that get read. Stories that get acted on.

Your charts are technically correct — and nobody reads them. The data is good; the presentation isn't landing. This book gives you the Chart Question Framework for selecting the right chart every time, the CAST Framework for turning five unordered charts into a three-minute argument, and a 27-prompt Data Visualisation Toolkit for AI-assisted creation and critique. Ten chapters, 8–12 hours of learning, built by an AI engineering firm.

Tier

Tier 3 · Job Skills

Category

Business Operations

Format

Guide

Updated

Q2 2026

Read full bookSee in 2 bundles

Inside

27 ready-made, market-tested prompts: chart selection, design critique, dashboard layout, narrative construction, audience adaptation
The Chart Question Framework for selecting the right chart every time
The CAST Framework for turning unordered charts into a three-minute argument that lands
A multi-audience adaptation discipline — executive, technical, and public versions of the same data
A 30-day plan for policy analysts, finance professionals, researchers, marketers, and strategy consultants whose work involves quantitative content

Who this is for

Any professional who needs to present data to others — a policy analyst preparing a dashboard for ministers, a marketer creating a campaign performance deck, a finance professional visualising budget variances, a researcher presenting survey results, an operations manager reporting KPIs to leadership. Cross-industry by design: the skill is the same whether the data is clinical outcomes, customer churn, or public sector expenditure.

Also for:Professionals who already produce charts but want them to be clearer, more persuasive, and more efficiently produced with AI assistance. Also: professionals who have completed T3-29 and want to go further with the visualisation layer.

You’ll be able to

Select the appropriate chart type for a given analytical question and audience
Apply design fundamentals — colour, typography, layout, whitespace — to make charts clear and credible
Use AI to create, iterate, and refine data visualisations across common tools
Design a multi-panel dashboard for a specific audience and decision context
Structure a data story using the CAST Framework to guide an audience from context to decision
Adapt data presentations for executive, technical, and public audiences

What’s inside

Diagnostic: How strong is your data visualisation practice?
Chapter 1: AI in Data Visualisation Right Now
Chapter 2: How Visuals Communicate
Chapter 3: Chart Selection
Chapter 4: Design Principles for Data Visualisation
Chapter 5: Creating Charts with AI
Chapter 6: Dashboard Design
Chapter 7: Data Storytelling
Chapter 8: Presenting Data to Different Audiences
Chapter 9: Accessible and Inclusive Data Design
Chapter 10: Your 30-Day Visualisation Practice
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm — for professionals whose data has to land, not just appear on a slide.

Appears in 2 bundles

IND-07The Government & Public Sector Pack SKL-04The AI Data & Reporting Pack

Reads well with

Often packaged with this title.