When it comes to offering data-services, selling data assets, entering into partnerships and data-sharing agreements, agreeing on the value of data is critical. What are the methods to discover the value of data? Which strategic implications?
Recommendations systems are powerful revenue engines: the better the system, the longer the users stay on the platform or the more the clients spend on the website. But systems are numerous and some perform better than others. In particular, some systems are automated and based on other users behaviours whereas others are more manual and...
Proprietary and closed data strategy has clear advantages but in some cases engaging in open data proves to have a bigger impact on competitive advantage.
Technologies, whether digital or not, are changing the value chain of the automotive industry. New value propositions, new critical resources, new business models: carmakers are forced to forge alliances with their best frenemies, the digital giants. How to secure value capture with these ambitious partners?
Data and AI transform banking and financial services: processes get optimised, new revenue opportunities emerge, agile new entrants and digital giants challenge incumbents position. Whether seen as a commodity, a leverage or a strategic asset, data poses new strategic questions to historical players, welcome to Datanomics!
There are many ways to describe the role data plays in platforms and I choose to focus on the way data increases the competitive edge of platforms in each of the 3 competition layers they are facing: other platforms, incumbents and complementors.
The goal of all strategies is to build a distinctive and valuable positioning. How can data and analytics contribute to that goal? I use here Netflix as an example.
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