I understand that we're talking about IBM SPSS Statistics, it's a mathematical tool. Then simultaneously, we give this feedback to the pharma companies, so that depending on the data, they determine which medicine they have and what medicine they could develop. Depending on the data we draw a graph and we give a statistical analysis to the doctors, as well. If a patient comes to the doctors with a little bit of mental depression because of the work pressure or anything else, we collect this data, put up a questionnaire to him about his personality traits, why he's feeling depressed, what are the factors affecting his mental attitude and those kinds of questions and we collect that kind of data. You have a cross-section of the community. For example, there could be a neuro-disorder patient or a normal IT employee who may be an introvert, confined to his own space and doesn't want to mingle with people or more inclined towards reading books and stuff like that. I use these more often because in pharma companies and clinical hospitals they make the medicines by taking the feedback from different patients. The features that I have found most valuable are the Bayesian statistics and descriptive statistics. And there are a lot of features that SAS Visual Analytics has that IBM SPSS doesn't have. So I have to do a liaison with all these other software to fetch the data and present it to the client in whichever format they prefer because there are some features which IBM SPSS statistics has which SAS doesn't have. For example, Visual Analytics, SAP Discovery, and solutions like that. All these companies that I work with also have software other than IBM SPSS. The customer gets the results in whatever format they want. These companies provide the data and I give them the results. I do the clinical analysis of their data. And also logistic companies, like Maersk and Blue Dot. Clinical companies, pharma companies, like Cipla, Biocon, etc. I'm an independent consultant and my clients have lots of clinical level laboratories. I would say 70% of our work is on Statistics and 30% is on the Modeler. We use IBM SPSS Statistics as well as the Modeler.
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