Most of these companies have generated their major growth since 2010 by gaining an asymmetric information advantage over their rivals. Strategists also need to change with the times and not choose to use old fashioned ways when horizon scanning to build strategy. This ‘age of data’ can even be considered as an economic cycle in its own right and like with other industrial cycles will follow its own dynamic boom and bust cycles. So how does a CIO within an organization adapt to this new industrial age of data, driven by machine orchestration of value added information. It goes way beyond the traditional CIO habitat of desktop, print, network, storage, and core system operations.

Perhaps this new disruptive low cost business data model is one where the CIO will own the data revenue line. Alternatively, a new role in organizations may be required to reflect the new industrial data wave. In industry and government, we are seeing CIOs moving to become Chief Digital Officer, the emergence of Chief Data Officer and an increasing number of junior and senior data scientist job roles on the market to fill a growing need to develop data as an organizational asset. An easier option is to partner with Universities where talent in data and computing science is nurtured through research and professional development.

As the age of data requires new workforce skills the importance of bridging the education gap becomes even more relevant. Universities are responding with changes to course content and new degrees in Data Science and Business Analytics. The call to action is for Universities and business to come together with a research and innovation agenda that pushes the data frontier forward. Industry provides their machine data and Universities grant the intellectual power to drive rapid innovation and drive bottom line profitability.