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“People in both fields operate with beliefs and biases. To the extent you can eliminate both and replace them with data, you gain a clear advantage” – A quote by Michel Lewis, from his book Moneyball. The Art of Winning an Unfair Game. A book (and subsequent movie) about Billy Bean, the Executive Vice
“Technology is a glittering lure, but there’s the rare occasion when public can be engaged on a level beyond flash, if they have a sentimental bond with product.” A very famous sales pitch by the character named Don Draper from the popular television series Mad Men. This pitch offers a glimpse into the fact that
From hype to reality big data is slowly making its way into the financial sector. Over the last few years the sector has seen a few large deployments in order to improve customer experience, reduce churn, facilitate modern banking and minimize risk. Big data and analytics hold a tremendous potential to power a modern financial
Big data and business analytics are predicted to have a double-digit growth – from $130.1 billion in 2016 to over $203 billion in 2020. There is no denying that big data is getting bigger and gaining immense popularity across sectors. Businesses are striving hard to make use of data analytics to drive growth and competitive