The rising availability of large datasets, including the tools and methods to extract meaningful results from it, has spurred the creation of a new category of innovations that make use of this. These are called ‘Data Driven Innovations’ (DDI): new services or products that rely for a very large part on the acquisition, storage and analysis of data. As this seems to be an opportunity for many, but only few can start, or know where to start. Get out of the buzz and into action is needed to get some real value from DDI.
Data consists of bits, not of molecules.
Therefore, data has some characteristics that make it ‘behave’ differently. This has important implications for Data Driven Innovations. The value chain in which such a DDI is implemented, will have some very specific challenges and opportunities. Some solutions disrupt existing markets and alarm law and regulators to give an answer on how to deal with it (Uber).
The Big Data Game was created by TNO in order to make the concepts around Data Driven Innovations (DDI) clearer. More specifically, in the business ecosystem in which a DDI is developed, a number of questions and issues needs to be addressed, like:
- Can the DDI be implemented by one organization, or is collaboration needed? With whom?
- What is more important, having the data, having the algorithm, having the market?
- What assets need to be developed, and in which order?
- How can I exploit important assets, like a unique dataset?
The objective of the Big Data Game is to give the players insight into these issues; not through a presentation or through a report, but through an experience.
By playing a board game with 4-5 other people the abovementioned can be discovered which raises awareness about the possibilities and complexities of DDI and allows the players to determine their own strategy in DDI.