IBM Watson Analytics was released at 4th Dec 2014. This is new service where data analysis can be done with conversations and no programming is needed. I am very interested in this service so I opened my account of IBM Watson Analytics and reviewed it for a week. I would like to make sure how this service works and whether it is good for business manager with no data analysis expertise. Here is a report for that.
I think IBM Watson Analytics is good for beginners of data analysis because it is easy to visualize data and we can do predictive analysis without programming the codes. I used the data which includes score of exam1, exam2 and results of admission. This data can be obtained at Exercise 2 of Machine Learning at coursera. Here is the chart drawn by IBM Watson Analytics. In order to draw this chart, All have to do is uploading data, write or choose “what is the relationship between Exam1 and Exam2 by result”, and adjust some options in red box below. In the chart, green point means ‘admitted’ and blue point means ‘not admitted’. Therefore it enable us to understand what the data means easily.
Let us move on prediction. We can analyze data in details here because statistical models are running behind it. I decided “result” is a target in this analysis. This target is categorical as it includes only “1:admitted and 0:not admitted” so logistic regression model, which is one of the classification analysis, is chosen automatically by IBM Watson Analytics. Here is the results of this analysis. In the red box, explanations about this analysis is presented automatically. According to the matrix about score of each exam, we can estimate probability of admission. It is good for business manager as this kind of analysis usually requires programming with R or MATLAB, python.
In my view, logistic regression is the first model to learn classification because it is easy to understand and can be applied to a lot of fields. For example I used this model to analyze how the counter parties are likely to be in default when I worked at financial industries. For marketing, the target can be interpreted as buy the product or not. For maintenance of machines, the target can be interpreted as normal or fail. The more data are corrected, the more we can apply this classification analysis to. I hope many business managers can be familiar with logistic regression by using IBM Watson Analytics.
IBM Watson Analytics has just started now so improvements may be needed to make the service better. However, it is also true that business manager can analyze data without programming by using IBM Watson Analytics. I would like to highly appreciate the efforts made by IBM.
Note:IBM, IBM Watson Analytics, the IBM logo are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide.