AI+Libraryby Straits Institute for Applied AI
Catalogue/Tier 3 · Job Skills/Business Operations
AI+ Data Storytelling cover
T3-80 · Tier 3 · Job Skills

AI+ Data Storytelling

Turn Evidence Into Decisions

Your analysis is thorough. Your charts are clear. Your findings are still being ignored.

Your analysis is thorough. Your charts are clear. And your findings are still being ignored. The gap isn't the data — it's the story you're not telling. AI+ Data Storytelling gives you the LEAD Framework: a four-component scaffold for turning any analytical output into a decision-driving argument. Thirty-eight prompt templates, five audience archetypes, and seven format adaptations, applied across research, policy, corporate, and public-sector contexts. Built by an AI engineering firm for analysts who do rigorous work — and deserve to see it drive decisions.

Tier
Tier 3 · Job Skills
Category
Business Operations
Format
Guide
Updated
Q2 2026
Read on iG PublishingSee in 5 bundles
Who this is for

Data analysts, researchers, policy officers, consultants, and business intelligence professionals who regularly produce findings and need to communicate them more effectively to non-technical decision-makers. Mid-career, technically competent, but often frustrated that their work doesn't drive the decisions it should.

Also for:Managers and team leaders who present performance data, research findings, or market analysis to senior stakeholders — and anyone who needs to turn a spreadsheet or report into a compelling argument.

You’ll be able to
  • Apply the LEAD Framework to structure a data-driven argument for any professional audience
  • Use AI to identify the most decision-relevant insight in a dataset or analytical output
  • Calibrate a data story — structure, language, visual support, and length — for different audiences (board, operations, media, public)
  • Handle uncertainty, contradictory data, and caveats in a way that builds rather than erodes credibility
  • Adapt a single data story across multiple delivery formats (report, briefing, dashboard, press release, social post)
What’s inside
Diagnostic
How strong is your data story?
Chapter 1
AI in Data Communication Right Now
Chapter 2
The Analyst-to-Narrator Mindset Shift
Chapter 3
Finding the Story in Your Data
Chapter 4
Structuring the Argument
Chapter 5
Writing the Data Story
Chapter 6
Knowing Your Audience
Chapter 7
Data Honesty
Chapter 8
Visual Support
Chapter 9
Multi-Channel Data Stories
Chapter 10
Your 30-Day Data Storytelling Practice
Back matter
Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Appears in 5 bundles
IND-02The Finance AI PackIND-05The Marketing AI PackIND-07The Government & Public Sector PackROL-03The Researcher's AI PackSKL-04The AI Data & Reporting Pack
Reads well with

Often packaged with this title.

How this was made

Every AI+ title is written by AI engineers who build production AI systems, then verified by practising professionals in the field it serves. Titles are reviewed every six months and updated whenever the technology or regulation shifts. Localised editions are reviewed by in-region experts before release.

Our editorial approach →