"Big Data analytics is a process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, and customer preferences. Big Data analytics provides various advantages—it can be used for better decision making, preventing fraudulent activities, among other things."
Mobile, Internet of Things & Clouds are generating huge amounts of unstructured & untapped data. Harnessing this data requires updating your information architecture, building robust platform - which allow you to collect, analyze, transform, visualize & most importantly, use this data for your different business, customers & market needs.
Large raw data, particularly Big Data, doesn't offer real insights in its unprocessed state, by using the right set of tools & processes, blocks of data can be deconstructed, analyzed & converted into powerful insights. In any Analytics setup, the first step is to capture relevant data. Then, the enterprise has to decide which analytics model suits their business needs the best.