BLOGDatanomics and strategy

A blog and a newsletter on competition and value creation with data and analytics.

Comments, examples, methodologies and research.
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What’s your Instagram data worth? Most people don’t know. We sense data is valuable, but struggle to define how and why. For business leaders, this isn’t a theoretical issue. Companies that harness data effectively outperform their peers. But value doesn’t come from data alone. It comes from how you use it. In our book Datanomics,...

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As more and more objects are connected to the internet, real-time data is generated massively. Sensors in smartphones, cars, manufacturing equipments or infrastructures collect data about the product use and its environment. Sent to a cloud server, data are used to predict future events and make better business decisions. How value is created and captured...

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How to differentiate signal from noise in generative AI?  On the one hand, McKinsey predicts that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually. On the other hand, we have plenty of studies (even from McKinsey) which conclude that value capture is much harder to achieve than what predictions estimate...

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All businesses, once they achieve a leading market position try to defend themselves against potential competitors. Business moats, a term coined by Warren Buffett, are competitive advantages a company establishes to protect its market position and profitability from competitors, just as a moat protects a castle from invaders. When it comes to Generative AI, would...

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The world of Formula 1 is interesting; originally, one would think it is just a bunch of cars circling until one finishes first. However, once you look closely, you can see that things are different from what they appear to be and Formula 1 is one of the most data-driven sport. However, all the technological...

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Building distinctive strategies in turbulent times. AI & digital strategy advisor, ESCP professor, author.

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