Business intelligence, machine learning,
analytics are the buzzwords. All businesses want to optimize and better compete
with their competition. But in the rush to implement something cocky you wouldn’t
want to end up wasting a lot of resources on what can’t be optimized. Speaking
of which remints a famous quote by Prof Stephen Boyd of Stanford “Sooner or
later we are all going to realize everything in Life is an optimization problem,
the sooner you realize it the better”.
For businesses it is not just sufficient to
realize it but they need to know where they are putting their money. Even before
you start putting your money into analytics you need to know which problems
should be solved which later to maximize your impact after all even that is
also an optimization problem.
Not only should you know where to put your
money you should also know which of these are dead ends. Where should you
invest more into machine learning or BI-Analytics. Well the answer is in the
kind of data you are dealing with and the questions you are trying to ask. If you
have loads of data and you want to discover patterns or knowledge in it, you
are looking for machine learning. If you already fully informed about what
patterns to expect and how to respond, then you would want to test your
hypothesis using traditional statistics and analytics and directly start
implementing them to maximize your business. At Gunaatita we not only enable
you with both analytics and Machine learning capabilities we can also help you
in making a decision between the two at various stages to maximize your impact
to the business.