MERCADEO Versión en español

Wunderman Thompson Launches COVID-19 Risk, Readiness & Recovery Application

Liz Unamo| 21 de mayo de 2020

Wunderman Thompson Covid 19

In an effort to provide brands and organizations insights for decision-making amidst the COVID-19 pandemic, Wunderman Thompson has launched a powerful interactive application powered by their Identity Network of human insights and IBM’s Watson Machine Learning, to provide a comprehensive view of COVID-19 impacts on communities to help identify and activate steps to support businesses as they navigate the road to recovery. Built at the intersection of health and economy, this Identity Network application connects the health, transactional and demographic data from Wunderman Thompson’s Identity Network with publicly available Covid-19 data to create a daily updated, county level view of communities and populations. This initial public view provides meaningful visibility to begin to inform recovery strategy, communications, timing (by location) and activation decisions around programming to accelerate business recovery. “Wunderman Thompson combines the full range of the Watson capabilities and tool chain with its vast data streams to create a unique view into a critical aspect of the recovery – and in a manner that protects individual privacy and data ownership” said Seth Dobrin, Chief Data Officer and Vice President, IBM. “This is a great example of how the Watsontool chain can be applied to accelerate insights and rapidly turn them into valuable solutions for our clients.” “As the community landscape continues to change, we know the key to helping businesses navigate effectively comes from our ability to identify, refine and activate human insights quickly to deliver value. With our Identity Network powered Risk, Readiness and Recovery application, we’re giving our clients insights to navigate recovery and add their own business information, like store locations, customers or supplier, into their own Recovery programs,” said Jacques van Niekerk, CEO, Wunderman Thompson Data.

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