I used RapidMiner to analyze sales data for furniture sales, specifically focusing on the ETA process. It helped me streamline and understand the sales process better.

Most of my work these days is to encourage younger members of staff in the university, as well as businesses outside, to get involved in data mining or machine learning. My requirement is that the tools have to be functionally good and also economically effective. So, products such as RapidMiner are very useful.

The primary use case at the moment is looking at psychiatric cases to see who is likely to commit suicide and who is not.

I just use it for my coursework in school in order to handle a recommendation system and to clean data to prepare it for analysis.

I am a university professor in engineering and I am using RapidMiner for teaching. I use all the utilities of the software to illustrate some of the courses that I provide in data mining. I use the software everywhere I need it.

Our primary use for this particular product is to provide it for a large medical research company. It is a research company that helps pharmaceutical manufacturers, distributors, and clinics with analysis. Our client collects data that they crunch to provide these types of companies information about trends in distribution and production within the pharmaceutical industry. They use RapidMiner to crunch that data.  

The results of the analysis of the data helps with pricing, it helps with determining volumes, it helps with projections, et cetera. The client has a global license for RapidMiner, so here in the Middle Eastern branch, they use the same product as they do globally.  

I use it for machine learning and big data.

RapidMiner interacts well with data. It is valuable, easy to use, and easy to look at, and that is awesome. 

RapidMiner is primarily used to develop and deploy machine learning workflows to real business use cases, e.g. predictive analytics, segmentation, etc...

We use RapidMiner to do data modeling and forecasting for things like bank loans. It helps us determine which bank loans have potential and which loans can be issued. So, for example, we use the data from our existing customers to make predictions about new borrowers. That way, we can estimate how well the loan will perform.

RapidMiner is a strategic machine learning solution, so it covers all the use cases in the machine learning landscape, including clustering, churn prevention, and anything else that has to do with predictive modeling. 

I used RapidMiner to help teach Data Science and Statistics. The students understand better the pipeline of a data science project compared with development with a language like python furthermore the user can integrate easily python if he likes to. 

I am testing RapidMiner as I am beginning data science. I will work with RapidMiner and Azure Machine Learning Studio. RapidMiner for Windows is an excellent graphical tool for data science.

The primary use case of RapidMiner is for teaching. I select data and give it to the students to clean. They use several algorithms, they compact them, they evaluate them, then give the results to me.

We primarily use the solution for training and deploying various supervised and unsupervised models in the area of financial crime management.

Predicting which customers were most likely to churn for subscription-based contracts. Both RapidMiner Studio and RapidMiner Server were used to build, model, and deploy to production.

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. 

I work in business intelligence pre-sales and am a customer of RapidMiner. I'm using the product for data mining. I'm involved in data science and doing a Masters degree in the field so I'm aiming to explore the data I have gathered. I have some experience with the product but it's not that deep. 

My primary use cases for RapidMiner are data cleaning, preparation, and forecasting. We are in the telecom industry.

My primary use case for this solution is education.

We did a course at the university and I used this for my own education, as opposed to a business use case.