Online MR Magazine May Edition 2016 Issue 1 | Page 40

Small is Big Big Data has been the Buzz word across the corporate world, consulting and analytics firms off late. Leveraging BIG data is a new mandate this year across many organizations. This includes data management, application of business intelligence and analytics – all to integrate, mine, process and draw rich insight and inferences for BIG picture towards making decisions which make BIG impact on business. For better clarity on what exactly is BIG data – it is primarily combining and aggregating data in new and innovative ways in order to discover new emergent properties in the data, resulting in an outcome “greater than the sum of its parts”. Through integration and combination of data, and through the resulting complex relationships and patterns present in the combined data, BIG Data delivers immense value in the form of insights and analysis. There is no argument that BIG data can be leveraged for making BIG decisions which can make a BIG difference; in many cases though, an undeniable fact about BIG data is that it comprises log files; i.e., event or transaction files. For businesses with BIG data as intrinsic part of business like Facebook, Google and Twitter, leveraging BIG data makes sense; and the rest need to acknowledge that transactional data in isolation doesn’t give a complete picture. Therefore analytics applied on BIG data, though usually over a quality of time will leave gaps and uncertainties with a possibility of key linking data being absent or unavailable. This is definitely not to take anything away from BIG data, but to call Ola Cabs Mobile App for example, asks customers for reason on cancellation of booking – in a very simple straight forward way, and in a way it’s so convenient for customers – right on the App, right at the moment of cancellation; small piece of data – but so timely & actionable TinyOwl, a platform for ordering food from any restaurant they’re connected with, is another example – on processing the order, collects specific feedback on delivery time – again, very small piece of data, but so timely and actionable.