Blockchain-based data monetization : Real-World examples from Hewlett Packard Enterprise

Data Monetization will be an important part of the value creation of companies. Francisco Frutos talks about an exciting use case at the Blockchain Summit Singapore.

Data are the oil of the 21st century. Francisco Frutos of Hewlett Packard Enterprise (HPE) used a concrete case study in his presentation to show how companies use data to improve the customer experience and at the same time grant users a fair share of the value of their data.

Drivers today receive comprehensive information on the displays in their cockpits. The information provided by the navigation system is well known. If traffic jams are displayed correctly, drivers can better plan their route choices. But there are many more possibilities: Information from sensors in other cars provides up-to-date information about the weather, the risk of aquaplaning or potholes.

The more data that is included in the forecast, the more accurate the information and the better the customer experience. Typically, a car has data that the manufacturer - Mercedes, for example - collects within its own fleet. However, it would be ideal if data from cars of other manufacturers were also available. This means not only data from Mercedes, but also from Audi, VW, BMW, etc..

In cooperation with Continental and Crossbar.io, HPE has developed an "e-Bay-like" Data Marketplace for this purpose. Every car driver can not only benefit from the additional data, e.g. by having his navigation system provide better information, but can also earn money with his data. This means that the driver decides which data he wants to make available on the network and how much he wants to pay for it. The security and confidentiality of the data are guaranteed by a private blockchain. Companies also do not have to share data that they consider critical because the blockchain is private.

HPE develops blockchain solutions in cooperation with strategic partners. In addition to comprehensive expertise, HPE also offers the trustworthiness of a technology provider who does not pursue a business model of monetizing data itself.