Big Data is a concept more related to data processing than to data size in absolute terms. We know we are dealing with Big Data when traditional ways of processing the data don’t work in a reasonable amount of time.
Recently, we took a look at some best practices for mobile data collection at the input level. This week, we turn our attention to best practices at the output level. Following the critical input stage, data is often transferred to corporate departments or regional marketing teams which, in turn, proceeds with the output—that is, drawing insights and making merchandising decisions based on data analysis.
When most of us think of data we tend to think of bland spreadsheets and rows of numbers. Data entry is hardly the most glamorous of jobs, after all, and most people who have studied statistics will probably have cold-sweats just thinking about those classes.