Financial Data Visualization for the Morgan Stanley AI Tipping Point BluePaper

Context and problem

Interpreting the source data

Morgan Stanley needed a definitive industry report produced via Oliver Wyman: 51 complex exhibits, rigid brand requirements, raw Excel inputs, and a publication deadline measured in days. Every chart required interpretation before production.

Approach

A chart grammar before production

Anneli treated charts as reusable components rather than isolated illustrations. She established axes, labels, color logic, and review rules in think-cell before production, then used rolling review to prevent errors from compounding.

Verified results

Published results

• Doubled production throughput from 10 to 20 high-fidelity slides per hour
• Zero data-transfer errors across all 51 exhibits
• 25,000+ downloads after publication
• Coverage by Bloomberg and CNBC