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The other side of Predictive Modelling

Following my earlier blog “Data is the new Oil”, let me share a few thoughts on the other side or rather ‘the darker side' of Predictive Modelling and Data Science projects – The challenges faced in practicing data sciences from an organizational perspective. The challenges are so tainted that the famous dialogue from The [...]

By |2017-07-18T11:20:38+00:00July 18th, 2017|Tags: , , , , |

Big Data – An analysis!

In the mid of 2000’s, organizations started to find ways to make use of their archived data. They figured out that So those data’s and files which have Business logics and usage won’t have any proper structural formats to align them and reform it as per business needs. And to reform such, we need a [...]

By |2017-06-27T11:49:50+00:00June 27th, 2017|Tags: , , , |

Internet of things

Projections have shown that by 2020 a record 50 billion devices will be connected to the internet contributing to the narrative of the growing importance of the internet of things. While there might be some variations to that number the sheer volume of devices naturally draws a lot of attention for the market opportunities that [...]

By |2017-05-22T15:19:14+00:00March 24th, 2017|Tags: , , , , |

Putting the limelight on Prescriptive Analytics

Let’s assume your organization covers the three major areas of what experts call as ‘foundation of meaningful analytics’ – Big data, a data warehouse, and the most modern BI tool. Researchers and business analysts perform various analytics – statistics, math, logics, experiments, simulations, artificial intelligence; you name it – to draw insightful patterns, behaviors and [...]