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?
BLOGDatanomics and strategy
A blog and a newsletter on competition and value creation with data and analytics.
Comments, examples, methodologies and research.
Comments, examples, methodologies and research.
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.
Recommendation systems are powerful revenue engines. Different types and logics exist but a lot of them rely strongly on personal data. Internet users and regulators exert growing pressures on how personal data is used which curb the ability of platforms to collect them. Recent research investigated how perceived usefulness could play a significant role in the...
Cars, tires, drilling machines, industrial equipment and many other objects are now full of sensors that capture data in real-time. It opened an opportunity for product manufacturers: launch service-based offers. Though very attractive on the paper, research shows the implementation of these business models is challenging and that the promised profits are not always cashed...
CompetitionCompetitive advantageThe new value chain of the automotive industry, stakes for carmakers
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!
The essence of strategy is making choices. Choices about scope, products, organisation or about the direction of the company for the future. In the age of Datanomics, more and more choices are automated. Is it the end of strategy?
Volume, Velocity or Variety, which V imports the most?
Let’s get back to where we started! The question is to decide on a positioning in the data value chain: which activities are key, which should be mastered internally, what to outsource? which partnerships to forge? « Strategy is the creation of a unique and valuable position, involving a different set of activities. The essence...
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