Analytics has eventually gained importance in the banking sector. From cost optimization, risk balancing to revenue growth, analytics does it all. Operational analytics: reporting, basic forecasting with data and Advanced analytics: model driven, focusing on the predictive aspects- these are used by the banking sector. Slowly customer analytics and risk analytics are also coming into the picture. These help in revenue growth, investment banking, improving customer experience and save the bank from the uncertainties of the market. Analytics is giving the banking sector well defined strategies, changing paradigms with the advancement of technology. With this evolution of analytics, the need for professionals who can bridge the gap between IT and businesses is immediate. Banks are already employing personnel to read into the data offering growth, efficiency and risk management. Read more at:http://www.businessworld.in/news/economy/analytics-&-banking/1719002/page-1.html

Nowadays retailers are utilizing big data to improve price, product, and placement effectiveness to new in-store experiences that influence social media. But, still there is a partial connection between these innovative ideas and the real time experience in each store. So, retailers need to get real-time data from the shop floor and pass it to the decision makers and in turn can make a real difference to both profitability and customer experience. In an era where consumer behavior is changing rapidly, retailers also need to change fast by empowering those on the shop floor to respond in real time. Retailers need to ensure right products are at the right price, on the right shelf and at the right time with the help of operational analytics. Read more at: http://digitalmarketingmagazine.co.uk/customer-experience/big-data-in-a-mobile-world-shop-floor-decision-making/1460