In the age of convergence, customer churn is a concern for service providers, challenging most retention techniques...
After reading many books, researching many articles, journals, and attending webinars of some renowned people in the analytics world, many of them say that a data scientist (especially the PhDs) should understand their companies or customers business to help drive discerning business decisions.
Not long ago, when the space race was at its peak between the then two superpowers there was this factious story doing the rounds about how NASA spent millions of dollars trying to invent a pen that would write in zero gravity conditions, while their counter parts in USSR just used a pencil which was much cheaper and easier to get.
Some time ago in one of my blogs I had talked about the product deluge that was going to hit the market with solutions in advanced analytics. To be very honest, it’s arrived faster than I had anticipated.
Not very far in time when the ERP revolution engulfed enterprises in the west, beginning from Europe to North America and finally Asia a lot was spoken about how ERP packages were designed and built considering the best practices of successful companies.
I was sharing my disappointment with a couple of my colleagues the other day about how a client was not keen to take forward a concept that was created for a project. What we were really discussing was how people try to search for wrong things at the wrong places when there so much available to work on.
Are you one of those that make a fixed expense budget for every month?
Are you one of those that buy stuff on-line exceeding your budget and often end up returning merchandize once you see your credit card bill because you actually couldn’t afford it in the first place!