Big Data Study Findings: Global Industries
We went into the research believing that Big Data practices would vary significantly in each of the 12 industries that we focused on (see box). While, of course, all these industries have invested heavily in information technology over many decades, they have different levels of data intensity – that is, the volume, variety, and velocity with which digital data courses through their information systems.
Retail chains, for instance, must process data on purchases of hundreds of millions of
items from their stores. And they must do so rapidly to better match pricing and product
availability to regional or local demand. In contrast, auto manufacturers sell thousands of
cars to independent dealers every week, and thus have a less onerous task of understanding sales trends.
With this in mind, we wanted to know whether certain industries spent more than others;
whether they achieved higher ROI; how they focused their investments; how their key
challenges compared; and other issues.
The Industries That We Studied:
In this section, we summarize the following differences: