Analytics Is A Mean To An End
JeanFrancoisPuget 2700028FGP Visits (3402)
Unless you've been unplugged for a couple of years, you have certainly witnessed the buzz around Big
The more I read, the more I see new analytics projects at IBM or at customer companies, the more I feel compelled to warn people against a major pitfall. I am no the first to warn against it, and hopefully won't be the last. This pitfall can be related to many issues regarding analytics and big data, including these:
The question is about how the use of analytics will improve a given business. The answer is deceptively simple:
Indeed, your business will be improved by analytics when you act, i.e. when you make decisions based on what your use of analytics has produced. The analysis of data in itself isn't worth a lot unless you're a scientist trying to model the business. What has value are the changes made to the business.
It means that if you start an analytics project and have no idea about the kind of business decisions you want to enable, then you are probably waisting your time. On the contrary, if you know what kind of decisions you are looking for, then you can define the data you need to collect, and the analytics you need to apply to it.The next thing is then to decide how far you want to go regarding decision automation. You basically can chose between three approaches: