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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+05:30July 18th, 2017|Tags: , , , , |

6 common mistakes in business intelligence implementations

According to Gartner, 70% of the Business Intelligence projects fail to meet the expectations despite growing in number in terms of industry growth. The interesting thing here is that it has less to do with tools and technologies and more with people and practices. Here are some of the common mistakes that organizations make [...]

Data is the new ‘Oil’!

“When life gives you lemons, make Lemonade” has now changed to “when you have data, make decisions with it” Just as many other blog posts similarly, Rate of Data accumulation is rapid, in a very unimaginable way. A recent study at the Northeastern University states that 2.5 Exabyte of data are produced every single [...]

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 [...]