"Big Data" has reached a tipping point for organisations creating a need for a supply arbitrage of skilled knowledge workers. Many universities around the world, such as Columbia, Northwestern, Yale, Oxford, are working in collaboration with entrepreneurs, investors, and alumni to expand or create curriculum around this supply arbitrage.
As the world becomes more data-intensive, businesses of the future will need to capitalise on knowledge intensive skills that are in tune with how to apply big data processes and techniques right from the start. These actions are inspiring for many entrepreneurs that have pioneered data science innovations to create products and services. Data matters now more than ever and the universities around the world aspiring to diversify national economies and spur job creation in technology-based businesses is exemplary.
The computing landscape has become increasingly data-centric, while big data is also becoming more mission critical across the disciplines of business, technology, medicine and science. For instance Pike Research suggests cities around the world are harnessing big data in new ways with the goal of improving on the quality of living in urban areas http://www.pikeresearch.com/newsroom/global-market-for-energy-efficient-buildings-to-surpass-100-billion-by-2017 . They go on to suggest that in this decade cities around the world will invest $108 billion in smart city infrastructure like smart meters, grids and energy-efficient buildings. The cities around the world (e.g. Helsinki, London, San Franscio, Rio de Janeiro, New York City, Washington, D.C.) highlighted as leading the way in the use of data centric capability, aspire to address the unprecedented challenges and opportunities posed in this new data rich era. Their ability to harness data to reduce crime, congestion and waste is closely linked to why the arbitrage of skilled knowledge workers is necessary.
There is no doubt that universities around the world have recognised they have a vital role to play in capitalising on the big data supply arbitrage. Their participation will provide opportunity on a much wider scale for students to understand how to apply big data techniques and processes pioneered by “born digital” organisations like Facebook, Twitter, Google, Foursquare and others. That said, Linkedin communities such as “Big Data Integration” will continue to play its role in the supply arbitrage by refining and inventing new Big Data techniques that can quickly be leveraged to meet the demands of organisations http://www.linkedin.com/groups/Big-Data-Integration-3981538?home=&gid=3981538&trk=anet_ug_hm .
Lastly, as data scientists employ new tools based on new models of computation, an organisation’s ability to adapt and embed them will ensure they can drive attributes of data centric capability at all levels of integration into business operations. As opposed to being a silo that services one line of business, this integration will make an organisation more productive by providing business users with more time to make more informed decisions driving results.