What translates big data into business value? Beyond technical and data-related resources, study shows human-related resources and capabilities are more important. Then, how to leverage the human drivers of value creation through big data?
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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.
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...
mobilitysharingValueMobility data sharing: a growing market and a door to the mobility service market
Data sharing is a complex business ecosystem where data generators, aggregators and services providers compete to capture the value of data produced by smartphones, cars, public transport and micro mobility shared services. What insights can we gain through the analysis of 37 companies? How connected is the information market to the transport service market?
Selling data can be a major revenue opportunity. However, navigating the business ecosystem of data trading is not a catwalk. Which is the best option: monetizing directly or through brokers ? Beyond the revenue opportunity some key strategic considerations are to be analysed for data generators who want to monetize their data.
The European Commission released recently a proposal for a regulation on Artificial Intelligence (AI). Though there is still a long process to take place before the regulation is enforced, it will impact Datanomics, i.e. value creation opportunities and competition dynamics related to data and analytics. What would change should the regulation implemented as described? What...
As data is associated with numerous value creation opportunities, protecting them and making sure others cannot access them seems a smart move to control the value capture. Though counter-intuitive at first, there is a clear case for value capture while sharing data. However, sharing doesn’t always mean the same and several options are possible. Why...
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.
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...
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?
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