In the age of convergence, customer churn is a concern for service providers, challenging most retention techniques...
There a slew of companies that are providing cloud based or SaaS based services in the areas of advanced analytics and more so as the most used jargon goes ‘predictive analytics’ (it sometimes amuses me how the concept of predictive analytics is abused by companies to get google’s attention but that is for another blog). It is interesting to read about so many companies providing cloud based predictive analytics solution in fields as diverse as insurance claim management to sales forecasting and customer churn.
While concluding a recent project for a fortune 500 company my colleague came across a very peculiar problem. The model was delivering very good results in the Quality environment but failed miserably when it moved to the production environment.
With the huge amount of information and articles being written in blog posts, forums and seminars, I am increasingly seeing how the so-called veteran thought leaders, authors and opinion leaders are influencing , shaping and some almost coaxing the industry to keep looking at the old processes and frameworks as to how an enterprise should develop its analytics strategy and keys to its success.
For a long time, prognoses of diseases have depended on doctors’ medical experience, identifiable symptoms and diagnostic procedures. Though the process still largely remains cognitive, but over the years it has been empowered with more information sources supporting better empiricism, logic & rationality.