The solution is used for market-based analysis. that said, things like scoring models, predictive models, forecasting, have not yet been implemented. However, they have a lot of traction on industry 4.0. We have not just yet gotten into that.
Since the beginning, we had a really nice onboarding experience with RapidMiner.
The solution is fast when it comes to prototyping. The prep and auto model feature is something that people really like. They help you prototype a use case very quickly. The quick prototyping features that are included in the software get everything ready - including the model instructions and all that.
I do see RapidMiner as much more of a data science platform, and not really an art restoration platform. The data science, collaboration, and IDN are very, very strong.
In the Mexican or Latin American market, it's kind of pricey.
The pricing can be a bit high.
Some of the data science platforms offer much more flexibility. Of course, there's not the same software for visual license results. It's somehow rigid.
I'd like to have a module for analytics there. For example, the capability of keeping track of changes in every version would be helpful. It was very, very difficult to track.
Even as a partner, it is difficult to keep up with whatever changes they have in mind. On the commercial side, it has been the same. However, since I started, every three months, they propose a different commercial scheme. It's one of the reasons that they got lower marks on the Gardner report.
The UI is not super intuitive. It might be nice if, on the first time a person uses the product, there was a wizard that could walk a person through everything. It's supposedly very intuitive, and yet, I don't know what to, I don't know where to click, honestly. They need to offer a better-guided experience for beginners.
While the company likely has five or so years of experience with the solution, I only have three. However, I have had a lot of time to work with it. I've only been at the company for three years, which is why there is a time difference.
The scalability is important. For example, it's very easy to quote the desktop software. They tell, for example, how much data science users are going to be working with on the machines, in terms of creating models. You need to know how many concurrent users there are going to be. For that, you will have to quote the RapidMiner server. It can get very complex quoting once you get into operationalizing your models.
They don't fully help you figure things out in terms of big accounts and scenarios. We'd like to have someone really technical assist. That type of person would know what questions to ask.
In terms of implementation, I will say that, that if a user gets the desktop version without the server, it's very difficult for them to actually get value out of the product. RapidMinor has discovered that the churn on the desktop product is very high. If you're going to get the desktop version, no worries, however, you have to have a clear strategy on how do the outputs of your models are going to make an impact on the business because the impact is not clearly seen sometimes.
The solution is considered expensive, at least in the Latin American market. They do try their best to give discounts whenever it's possible. However, the overall price is something to be cautious about.
We are using the latest version of the solution right now.
In general, we've been happy with the solution. I'd rate it at a nine out of ten.
