Big Data in M2M: tipping points and subnets of things
This White Paper focusses on three hot topics in the TMT space currently: Big Data and the ‘Internet of Things’, both examined through the prism of machine-to-machine communications. We have grouped these concepts together, since Big Data analytics within M2M really only exists within the context of heterogeneous information sources which can be combined for analysis. And, in many ways, the Internet of Things can be defined in those exact same terms: as a network of heterogeneous devices.
It is clear that Big Data and the Internet of Things will have a fundamental impact on the way businesses are managed in the future, the way that we interact with our cities and urban areas, and our day-to-day life as consumers.
It is also clear that we are not going to move directly from our current, essentially unconnected and siloed world directly to a brave new world of Big Data and the Internet of Things. There must be some stepping stones along the way. The aim of this White Paper is to identify some of those stepping stones, and so to identify some of the commercial opportunities that might lie within Big Data over the short- to medium-term.
In order to write this paper, and since our analysis of the opportunities is somewhat more pragmatic than many that have gone before, Machina Research found it necessary to extend the lexicon of the industry and define some new terms that have not been used before. These include:
• ‘Subnet of Things’, by which we mean an island of interconnected devices, driven either by a single point of control, single point of data aggregation, or potentially a common cause or technology standard
• ‘Data Community’, by which we mean a community of devices, sources of data and data owners that could potentially give rise to a Subnet of Things
• ‘Tipping Point’, by which we mean the point where the network effects of membership of a Data Community begin to drive the development of that community.
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