Nov 5, 1:00 PM EST 

Webinars

Building Faster Intelligence for Better Decision-Making for New Normal Strategy

COVID-19 is unlike anything the world has seen before and has generated unprecedented upheaval and triggered far-ranging impacts on the global economy. Navigating through these uncertain times requires strong leadership decision-making based on fast intelligence, not guesswork. Companies are being inundated with data and need an easier way to access, analyze and act on the most relevant information in real-time.  In this session, Kellogg’s will share how they leveraged scenario planning to assess emerging demand landscape post-recovery and used cutting-edge analytics to track lead indicators in each market.

 

Kellogg’s developed a framework to analyze emerging scenarios that will impact economic recovery as well as associated shifts in consumer behaviors regarding food consumption, purchase channel choices, and media consumption.  The position of every market on the Scenario map was tracked dynamically by predictive models that identified most relevant lead indicators and tracked movement into different scenarios.  Globally, the marketing partners used the information to help prioritize actions across investment in manufacturing, inventory operations, innovation, trade channels and communication.

 

Download the slides

Watch the Video

speakers

Mohit Das

Kellogg Company

Over his 25 years career Mohit Das has worked across leading consumer product companies like P&G, Abbott Nutrition and Kellogg and has been part of the Consumer and Retail Practice at McKinsey & Co. Mr. Das started his career at Procter & Gamble and held leadership roles focused on consumer & shopper insights, business strategy, innovation and analytics in Asia & USA within P&G’s Personal beauty care, Household care and Food businesses. Prior to joining Kellogg’s, he worked with McKinsey & Co., helping setup an Innovation Hub in Singapore focused on Asia Consumer Insights. Currently at Kellogg’s he is the Global Vice President within the Decision Science and Analytics COE.

By using MSI.org you agree to our use of cookies as identifiers and for other features of the site as described in our Privacy Policy.