Data Analytics

Abstract

In this digital era, data is proliferating at an unprecedented rate. Data sources such as historical customer information, customer’s online clickstreams, channel data, credit card usage, customer relationship management (CRM) data, and huge amounts of social media data are available. In today’s world, the basic challenge is in managing the complexity in data sources, types and the velocity with which it is growing. Obviously, data-intensive computing is coming into the world that aims to provide the tools we need to handle the large-scale data problems. The recent big data revolution is not in the volume explosion of data, but in the capability of actually doing something with the data; making more sense out of it. In order to build a capability that can achieve beneficial data targets, enterprises need to understand the data lifecycle and challenges at different stages.