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.

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