IBM SPSS MODELER

One of the most revolutionary software, especially in my field, where I need to use multiple statistical variables to analyze databases of chemical elements. It is flexible as well, so I can convert databases of other software into the IBM SPSS format and they work better! For me, the best feature is its ability to filter and modify variables as per what I need. It is extremely versatile and perfect for my daily work requirements. Since it is quite a complicated software, it can get a bit tedious to understand all its functionalities, which may require a certain level of computer science knowledge. I had to take up an intensive course to understand it completely. This is possibly the best software for management and analysis of databases. It is extremely effective in creating variables and I dare say any company that uses it is bound to see a noticeable enhancement in employee performance.

The software’s ability to organize and use variable for tool application is what works best for me. Evaluation of the behavior of dependent and independent variables for linear regression analysis makes it easy to compile reports, further enabling easier decision making. It is also extremely user-friendly, with each icon distinctly visible. If I had to pick an area of improvement, I would say it is the quality of its graphics. They do not seem very professional and perhaps they can be updated to seem so.

I believe that this is an ideal software for organizations lookimg to systemize its data and work using dependent as well as independent variables. It works excellently to present inferential statistics to help organizations grow. However, if you’re looking for exceptional graphics, then this might not be the one for you.

IBM offers SPSS Predictive Analytics Enterprise solution for data (both structured and unstructured) derived from any source. This software is a bit complicated with not so extraordinary visualization tools. Proper training and expertise are needed to use this solution. The R Integration Package provides the ability to use programming features of R within IBM SPSS Statistics. The solution can be used across various applications such as real-time scoring, statistical analysis, data mining, and decision evidence-based medicine, supply chain analysis, and crime prediction and prevention.

Even someone without in-depth knowledge of programming can use this software. That’s how user friendly its interface is. It not only creates predictive models but also performs other analytical tasks. The only drawback I could identify is that I might not be able to take advantage of all the features. It will take me some time to fully learn and harness all its benefits. I would recommend it to anyone who is looking to work with complex sets of data to obtain statistical models. It has simplified the process to a great extent.

The best part about Modeler is that it can be automated and integrated with R project and with Python. This enables more functions, especially when you have multiple problems that need to be solved using analytics. It helps you modify data using a large number of techniques. What we found to be a drawback is that Modeler does not carry out normality or randomness tests. This makes it difficult, especially while making regressions since the assumptions about the errors need to be tested. Another drawback is that the lack of techniques for the testing of images and videos. Consider adding alternatives for users of entity analytics and social network analytics.