Case Study: Wunderman Thompson achieves AI-powered local reopening insights with IBM Cloud Pak for Data

Wunderman Thompson - Customer Case Study

Wunderman Thompson, a global creative agency specializing in data-driven human insights, faced the challenge of helping clients and communities navigate reopening amid COVID‑19 by combining health and economic signals at a local level. To modernize its data platform, remove legacy silos and accelerate machine learning, Wunderman Thompson partnered with IBM — including IBM Expert Labs and the Data Science and AI Elite team — and adopted IBM Cloud Pak for Data.

Using IBM Cloud Pak for Data, Wunderman Thompson scaled AI across clouds and unlocked its Identity Graph (anonymized data on 270 million people and $1.1 trillion in transactional data) to build the COVID‑19 Risk, Readiness and Recovery Dashboard and a Predictive Recovery Index. The IBM Cloud Pak for Data–enabled solution delivers county‑level guidance, supports client-specific views (CRM, locations, supply chain), models recovery timing, monitors early “green shoot” economies, and significantly sped up the agency’s ML capabilities and data-driven decisioning.

Wunderman Thompson

Michael Murray

President