Every company is a data company. Businesses from technology to retail have an ever-increasing amount of data about their customers and their business daily operations. Despite that, only 1 in 12 companies are monetizing their data to its fullest extent. Data monetization is the process of leveraging data to generate measurable business benefits through Internal or external data monetization techniques. That said, the path toward a successful data monetization strategy is full of challenges that limit companies’ ability to harness their data to its full extent.
In this online session, Mohamed Batran, a senior Data Scientist at Rakuten Inc. and a cooperative research fellow at the University of Tokyo, will introduce the concepts of data monetization, then expand to explain the different business models around data monetization and their revenue potential / associated challenges. The session will also include some key challenges and some examples of data companies.
🚀 About Mohamed Batran 🚀
Batran is a Senior data scientist at Rakuten Inc. and a cooperative research fellow at the University of Tokyo. During his career, Batran worked on datasets of different sizes and from different industries such as telecom, transportation, finance, logistics, e-commerce to name a few. His work in data science and AI has been published in top-tier conferences and patented both in Japan and other countries.
🚀About Le Wagon Tokyo 🚀
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