How alternative big data & AI uncovered predictive equity signals for a global investment manager

Situation

A global investment management firm sought to enhance equity intelligence using alternative data beyond traditional financial reporting. The client needed a novel framework to build indices and trackers for publicly listed companies in emerging markets, translating granular consumer, mobility, and spend signals into investment insights.

Approach

• Curated alternative big data sources covering credit-card spend, app installs, footfall traffic, and delivery zones in KSA
• Applied PerigonAI cross-correlation algorithms between alternative data signals and listed company stock prices
• Built a model on a publicly listed food-delivery operator covering spend, retention, footfall, and restaurant share

Impact

• Demonstrated that alternative signals like spend share measurably lead stock-price movements
• Delivered a novel investment-intelligence framework leveraging geospatial and big data to evaluate equity opportunities
• Established a scalable methodology extendable to additional listed companies, sectors, and emerging markets