Dream. Dare. Do – that is Suyati’s work principle in a nutshell.
Big data, in essence, entails churning all available pieces of information, be it text, statistics, databases, (on-hand or obtainable) to derive meaningful and actionable insights.
Businesses tend to focus on the first part of the initiative. They refine the process to make data collection and integration easy. But they forget that big data is only a means to an end. Without big data throwing up “big answers”, it becomes an exercise in futility. Big data analytics should ideally provide real information that allows business executives to see the complete picture, enabling them to make better decisions, and avoid repeating the mistakes.
Following are some tips towards this end:
The correct approach to big data is to work on collecting and analyzing data objectively. While you can use Big data to gain insights or validate assumptions, it is necessary to feed in all available data, and subject it to the right analysis.