Please share with the community what you think needs improvement with IBM SPSS Modeler.
What are its weaknesses? What would you like to see changed in a future version?
Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way.
SAS type free facility to .edu email - free training by IBM skill training. Currently IBM charge USD 2,400.
I think that Modeler needs to be more commercially effective because, of the competing tools, some of them are free and others are available at a very nominal cost. When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing. It is just wasting the term and they should have suspended the fees and extended the licensing timeline. Essentially, you can't stop it, even if you're not using it, and it is a little difficult to accept the cost in such situations. What we really need is some flexible terms with respect to the renewal or a break from the strict license timeline.
I actually think it is a great product. Maybe there could be some enhancement with more extensive help built into the interface. This could help end-users to understand the features as well as how to use them. Apart from that, it is a great product.
Dimension reduction is very important, especially if you are working with millions of recordings and thousands of variables. It exists already, but it should be classified separately. The solution could be improved by adding a feature for statistical analysis like processes. They have some in the output, but not in the modes itself. I hope they can add statistical knowledge to the solution.
This is an expensive predicament software solution. Currently, the terminals offer the tools for the data analytics, but it needs development. There's a limit to the license. For the data analytics, it's very similar to Tableau. The solution has lots of branches, departments and the teams - that makes it quite a complex solution. We don't always use or need the major developmental version. We care about the KPI. We only care about the KPI reporting so it would be helpful if things were simplified.
Weak documentation and user guide.
I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it.
Data encoding is friendly for UTF-8. The unstructured data is not appropriate for SPSS Modeler. Finally, the standard package (personal) is not supported for database connection.
* Formula writing is not straightforward for an Excel user. Totally new set of functions, and it takes time to learn and teach. * Automating procedures: Writing macros is not easy and difficult to learn. * It is not integrated with Qlik, Tableau, and Power BI. Unfortunately… * Expensive to deploy solutions. You need to buy an extra deployment unit.
What are the differences in functionality between SPSS Modeler and SPSS Statistics? What would make me choose one over the other?