Data as a Resource
Our understanding of data science and all analytics must be founded on a firm understanding of its core component: data. Data is quite similar to traditional resources such as copper or wool in that someone produces it, and then someone else buys the raw material and makes something new from it. However, it is unique from traditional commodities in that it doesn’t get used up in the process, making it particularly interesting and uniquely valuable. Data can be produced by anyone, and with advancements in analytical technology, can be utilized by everyone. But most companies do not see their data this way--it is a backend to reports at best or an expense at worst--which means this potential revenue source remains largely untapped.
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This report is big business, it's important to remember it drives 100's of millions in corporate Business Intelligence(BI) spending, and has a hidden side to it. Although Gartner stays well away from saying it, there is a definite favorability for products from companies Gartner does business with. A quick look on Quora shows you exactly what that looks like: more time with business partners products and loosening of rules for inclusion.
You know about Big Data and its potential, how it creates greater understanding of our world, reduces waste and misuse of resources, and dramatically increases efficiency. The level of information available is growing like never before, and hiding in all that data are the insights, ideas, and explanations needed to reach that promised potential; it’s just waiting to be discovered, and there’s the problem.