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I think smaller companies are going to start at least to take advantage of subsets. This may not be smaller implementations but rather looking at smaller data sets that come out through third parties which the smaller business may not have had access to before.
IT in Canada: So while private cloud implementation may allow a major corporation to manage its Big Data requirements, for a smaller organization or midsized enterprise, where the data is not so large that it’s overwhelming for the networking networking set up, it may be best to consider a public service for analytics in somebody else’s space.
Gallone: I do see an opportunity for industry-based solutions, for community cloud-based solutions, to help smaller companies run some of the analysis that they need to get into the analytics space. I think there’s an opportunity to at least start that. There’s a counter argument that says that Big Data and analytics are a unique company differentiator, but I think it’s possible to get small and medium business to a base level where they’ve got some of the differentiation, some of the capabilities they need to compete against larger firms. I think is something that would be of interest to people, and then, as they need to differentiate further, they can start running their own analytics against those data sets or look to expand upon those capabilities. There is an intermediate step there for small to medium sized companies and for an entrepreneurial based service provider to offer that service to those companies.
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