Tamoco strengthen advisory board with appointment of business analytics expert
London-based proximity technology startup, Tamoco, has appointed pioneering American academic Anindya Ghose to their advisory board, as the company seeks to continue its rapid growth.
Ghose joins the Tamoco advisory board at a time of rapid growth for the business. Since launching its network in 2015, Tamoco now covers an audience of over 100 million people across 100 countries with a network of over 1 billion sensors in public locations, providing their partners with unrivalled data insight. Tamoco is currently working closely with major businesses such as Omnicom and ABI as well as individual brands such as Starbucks and McDonalds.
The advisory board will be chaired by Victor Chu, CEO and Chairman of First Eastern Investment Group. Chu is currently a foundation board member for the World Economic Forum, and co-chairs their International Business Council. Ghose will combine his expertise on digital trends and analytics with Chu’s exemplary business acumen to help Tamoco monetize their groundbreaking real-time location technology.
Dr. Ghose is the Heinz Riehl Chair Professor of Business at New York University’s Leonard N Stern School of Business. His primary research focuses on monetizing the digital economy using data science and business analytics. He has been named by Poets & Quants as one of the “Top 40 Professors Under 40 Worldwide” and by Thinkers50 as one of the “Top 30 Management Thinkers” globally most likely to shape the future of how organizations are managed and led in the next generation.
He is the author of TAP: Unlocking The Mobile Economy which is a double winner in the 2018 Axiom Business Book Awards and has been translated into five languages.
Ghose received his PhD from Carnegie Mellon University’s Tepper School of Business and has consulted for tech giants such as Apple, Facebook, Snapchat, and Samsung and collaborated with Adobe, China Mobile, Google, Microsoft, SK Telecom, and Alibaba. He will be advising Tamoco on how to monetize their real-time location and contextual data on users using techniques from data science and large scale field experiments.