In this digital era with multiple communication channels and challenges created by the proliferation of data, companies have access to petabytes of data and they want to derive more meaningful insights of their customers than ever before. There is growing evidence that, when approached in the more structured manner, there is a huge business potential in big data.
In most cases, these projects are driven by the opportunity to better understand the customer and increase services and revenues, Identify Leads/Opportunities, obtain operational efficiency, Increase existing revenue streams and explore new revenue streams, while reducing exposure and regulatory compliance risks and in turn make better, faster decisions.
Enabling High-performance analytics by combining big data with predictive analytics can be a challenge for many industries, but that allow's organisations to innovate, explore new horizons and uncover hidden and more meaningful insights on population rather than sampling.
Reporting & Analytics - R, RHadoop, Jaspersoft, Cognos, Qlikview, Tableau, Office 2013