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RapidMiner review by Jack K.
Data Journalist
Information Technology and Services
Small-Business
(Myself Only)
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"Like a simplified version of R Studio on Data-Science- steriods!"

What do you like best?

Auto Model allows me to quickly understand the best modelling to use on my data without having to build the workflows manually. This has allowed me to apply more complex models to my data then I would have otherwise felt comfortable/confident doing. The ability for someone like me (who is primarily a data visualization artist) to quickly and easily model complex data and do correlations that are understandable is AMAZING! Also the company themselves are super fun and helpful anytime I've had an issue or question. You can't fake the funk on being helpful as a company!

What do you dislike?

The complexity of the program is daunting to newcomers which is why Turbo Prep and Auto Model are LIFESAVERS! They offer many tutorials to overcome this daunting nature but the sheer size of the program means you could spend all day watching tutorials.

Recommendations to others considering the product

Don't be frightened off by the complexity of the program! Ask questions on Twitter or in their community and you'll get an answer QUICK!

What business problems are you solving with the product? What benefits have you realized?

Currently I'm using RapidMiner for some social good projects I'm working on to re-examine previously analyzed data, applying newer and more up-to-date statistical models which allow me to discover new insights in older data. Allowing me to find more ways to help the communities I'm involved with stay safe if it's looking at traffic collisions, roller derby injury results, or gender and relationship studies to disprove stereotypes. Using data to help with public good projects is easily the most rewarding part of my career as a data visualization artist and RapidMiner is a crucial part of that analytical workflow.

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RapidMiner review by YC L.
Enterprise
(1001-5000 employees)
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Business partner of the vendor or vendor's competitor, not included in G2 Crowd scores.

"Navigate through Journey of Hypotheses"

What do you like best?

Corporate leaders, at various managerial levels, have been challenged by fears that any day soon, a competitor of inferior technical capacity would jump ahead from behind. They were amazed at the fast and easy practice when we demonstrated the RapidMiner platform. Some of them have also suffered from ill-fated projects in the past, perfectly aware of the negative impact due to slow, error-prone, and delayed data preparation, model training, and deployment. Understanding its advantages, they too realized that others can easily outrun them quickly with RapidMiner.

What do you dislike?

Granted, companies are looking for vertical solutions aiming directly at their specific applications while RapidMiner, albeit powerful, is a platform. In addition to current communication by RapidMiner and the enthusiastic community, efforts must be spent by both sides, the customers and the solution providers like us, to practice, solve problems, and build up confidence so that gaps can be bridged.

Recommendations to others considering the product

It is rather idealistic to wish for a vertical solutions aiming directly at specific applications. You may have concerns that RapidMiner looks powerful but is still a few steps short. You are not alone but others have used RapidMiner to complete data science projects in weeks if not in days. With patience and determination to become a good problem solver, RapidMIner will bring you far ahead of competitors in a short period of time.

What business problems are you solving with the product? What benefits have you realized?

Data science is after all an art of problem solving. We have encountered problems such as, in predicting disgruntled customer, “can we generate some statistics for the past calls that belong to the same customer of the incoming call?” and, in predicting the lab-generated quality measure in a chemical plant, “can we shift each and every dependent variable according to their respective time lags?” Yes, RapidMiner can support them and thus incorporate the steps in a RapidMiner process. Such problems are however slightly beyond the basic practice of RapidMiner.

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RapidMiner review by Hossam H.
Regional Sr. Sales Consultant
Computer Software
Enterprise
(1001-5000 employees)
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"A very robust Data Science platform addresses all CRISP-DM requirement."

What do you like best?

Rapidminer is one of those tools that delivers a wide range of Data Science capabilities. If you are savvy with your data and conceptual understanding of the field you will immediately appreciate the abstraction layer that provides a wide range of tasks across the CRISP-DM lifecycle. It is a great tool that accelerates tackling the Data Science questions at hand fast. One of the greatest features is the Auto Model feature. It helps with assessing a whole bunch of algorithms (including Deep Learning) versus a given data set at once. Which enables users to best decide beforehand which algorithm would be the best answer to for their questions.

The addition within the new version of the turbo data preparation also transforms a lot within the CRISP-DM development lifecycle. It literally saves 80% of the time wasted on preparing the data through many running both PCA and normalization. The tool also addresses the problems of multicollinearity and missing value imputation usually diminishes the performance of the models.

Quite a complete Data Science tool !

What do you dislike?

Visual graphs from the different algorithms within the tool

What business problems are you solving with the product? What benefits have you realized?

Artificial Intelligence research work

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RapidMiner review by Cristian Dario O.
Jefe de Trabajos Prácticos Procesos y Sistemas de Información
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"Rápido, e intuitivo, tanto para expertos como para principiantes..."

What do you like best?

Entorno de trabajo cómodo, e intuitivo, con ayuda durante el desarrollo del proceso

Actualizaciones apropiadas, con mejoras, como la posibilidad de automodelización

Cantidad de algoritmos para modelar, agrupados por características...

Buenos gráficos, y opciones para visualizar el resultado del proceso...

Facilidad de parametrizar los diferentes algoritmos...

Visualización del proceso de minería de datos....

El contenido de la ayuda es apropiada....

What do you dislike?

Pocas opciones en los gráficos de tres dimensiones, como por ejemplo, el tamaño de los puntos, que son pequeños, si fueran mas grandes se podrían visualizar mejor...

Me gustaría que los gráficos en tres dimensiones se puedan mover sobre sus ejes automáticamente, durante un lapso de por ejemplo, cinco segundos, y poder grabar la secuencia para exportarla a un documento, como si fuera un video, que permita ver por ejemplo, la composición de los clusters...

Me gustaría la versión en castellano, para comprender mejor el contenido de la ayuda...

Estaría bueno que la versión educacional se pueda extender a los alumnos y los profesores, y poder realizar minería de datos en equipo de trabajo, tal como en un curso, o en una materia de posgrado o doctorado, con mejores opciones de almacenamiento en la nube.

Recommendations to others considering the product

Me gustaría que este en castellano

What business problems are you solving with the product? What benefits have you realized?

Estoy usando la aplicación para estudiar los algoritmos, base para mi tesis doctoral de Ciencias Económicas, mención Contable. En principio me interesan los modelos para detectar fraude, y poder minar datos en Informes Financieros, o dataset impositivos.

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RapidMiner review by Vladimir M.
Group level fraud manager
Financial Services
Mid-Market
(201-500 employees)
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"Endless capabilities both for novices and experts"

What do you like best?

- Intuitive interface, robust software operation

- Almost every imaginable data input format is supported

- Constant development and adding new features, big and small. Super fast bug fixes.

- Huge coverage of all possible machine learning algorithms, I think ~98% of all imaginable data science use cases can be covered with RapidMiner only

- Scalability and deployment capabilities: from studio to server to deployed models in very short time.

- Super quality of educational materials provided, adding new materials all the time

- Very thorough documentation on product capabilities and features

- Responsive and active community always willing to help

What do you dislike?

- Poor graphic plotting possibilities, very little option to configure plots

- Not all runtime error messages are intuitive enough

- Process and repository handling could have used more transparent versioning control

Recommendations to others considering the product

Don't expect 'magic': you still have to understand basics of machine learning, as well as spend some time learning how to use the software efficiently. If possible, RM training course is highly recommended. Once this is done, you'll experience full benefits of this great product.

What business problems are you solving with the product? What benefits have you realized?

- Fraud detection modelling

- Customers segmentation

- Text analytics

- Data mining

Main benefit is the speed of at least building prototypes - you can get a model ready in some 30 minutes, including all the data preparations.

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RapidMiner review by Betsy C.
Mid-Market
(201-500 employees)
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"Great tool for Institutional Research (in higher ed)"

What do you like best?

I deal with messy data from many sources. I need a tool that helps me pull together and utilize data in this kind of environment as efficiently as possible. The company seems to be very responsive to customer needs and keeps adding functionality that is practical for the user. I'm really impressed with the interface as well.

What do you dislike?

It's a little difficult to share RapidMiner files/processes with the other staff member in my office. Our budget will never allow for a full on server type sharing product. So I guess I feel like RapidMiner's products are heavily geared towards corporate uses, and sort of fail to meet the needs of small, education, and non profit organizations. Everyone has data management needs in the modern world; but lots of organizations aren't about using data for generating profit. We need tools too.

What business problems are you solving with the product? What benefits have you realized?

I especially love RapidMiner for the data cleaning and preparation processes that I have to repeat either annually or each semester (I work at a college). I also often use RapidMiner to validate my data or look for potential errors.

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RapidMiner review by Jerzy G.
Scientist research engineer
Mining & Metals
Enterprise
(1001-5000 employees)
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"RapidMiner Studio: intuitive and self-explanatory tool for machine learning"

What do you like best?

- The graphical modelling workflow: it's not only easy to design and build a machine learning model, but, even more importantly, to explain it to internal customers (your boss, your colleague, end user, factory staff, you name it).

- The Automodel feature: it is enormously handy in setting up a quick data analysis. It guides the user from the begin till the end. It provides very useful metrics about the imported data, and builds a couple of pre-defined models for you.

What do you dislike?

- The plotting and visualization is really crude. The customization of the graphs is hardly possible. Exporting the graphs (to PowerPoint for example) is (afaik) not trivial - I had to use screen clipping for the lack of a better alternative.

- Apparently there is no tool for exploratory data analysis.

- The execution of complex workflows is serial, even though there are obvious parallelization opportunities.

What business problems are you solving with the product? What benefits have you realized?

I used RapidMiner for prototyping machine learning workflows. For me, it shortened the time needed for setting up a decent ML predictive model from ~2 days to half a day. This includes evaluating several model prototypes and getting the insights what model would work best with my data.

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RapidMiner review by Sheetal S.
Data Scientist
Information Technology and Services
Mid-Market
(51-200 employees)
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"Lightning Fast"

What do you like best?

NO BLACK BOX concept. I have used other data science tools, but my concern was how these tools determine optimal values for algorithm and what are these value. But in RapidMiner I can self tweak and automatically optimize the parameter values as well. This is just one of the many benefits I had from No Black Box concept.

Intuitive GUI is another USP of RapidMiner Studio for beginners and experts. It has a help section with detailed documentation and quick tutorials which is very informative to know the logic behind every operator. I have learnt a lot of concepts from there.

What do you dislike?

RapidMiner Server needs to be redesign and more dynamic functionalities can be added in Web App.

RapidMiner Studio should have multi-process tab and github integration(just a suggestion).

What business problems are you solving with the product? What benefits have you realized?

I have been solving diverse problems using RapidMiner. I've tried algorithms on clustering, anomaly and outlier detection, classification, regression, keras, Text Mining (I've explored Rosette, Aylien text, meaningclous, edda etc). I have also been using RapidMiner for ETL jobs.

In terms of benefits, it has reduced my development time by many folds. Coding the same jobs in python used to take so long and then deploying it into production was again a challenge.

But RapidMiner is super easy to build solutions from end to end.

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RapidMiner review by Ricardo Q.
Teacher
Higher Education
Mid-Market
(201-500 employees)
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"Sophisticated, powerful and non-demanding"

What do you like best?

I have a two-core i3 that I run RapidMiner on. I don't work with millions of data but I do teach. The software is stable to any query you may have and only consumes the necessary resources. That means that your code is designed only to cover my query and has no "hidden" routines that are consuming my CPU or memory.

The community behind Rapidminer is a guarantee that no matter what problem you get into, you will find help and a possible solution.

Plugins help me to experiment with different approaches to address a problem, so for research, RapidMiner is a very useful toolbox.

Without much effort I have obtained an education account and this has allowed me to use more data than I used initially.

What do you dislike?

While the interface is intuitive (it reminds me of the psychomotor process used in the MIT Scratch application), the learning curve is pronounced. I've been using this tool for a couple of years now, and I still don't feel safe teaching my students about RapidMiner.

The problem is that there is no documentation in Spanish and only a few videos in my language. The problem is not the amount of material, but the depth of the content. Learning the basics of Rapidminer is easy, finding the details of how to use the plugin parameters is difficult, even in the English material.

I would like the community to meet in a VBulletin-type forum, the current tool is not professional enough.

RapidMiner scripting through Python is simpler than the R programming language, although the programming is still complex (I am a programmer).

Recommendations to others considering the product

Useful for data recovery, processing and analysis. Ideal for entering the world of Data Science. Useful for those who do Text or Data Mining.

What business problems are you solving with the product? What benefits have you realized?

The professionals who come to my class come with needs to acquire skills in structuring, processing and analyzing financial data. Excel or PowerBI are not enough for some of the problems being addressed.

Some of them arrive with some queries that they can't make in IBM SAP or find very complicated in that tool.

In the Business Intelligence Diploma, when we have to talk about Data Mining, I give them guidelines to enter the world of RapidMiner.

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RapidMiner review by Dr. Gernot H.
Professor for Information Research
Research
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"RapidMiner Studio"

What do you like best?

The graphical user interface is very intuitive and RapidMiner is very easy to start with.

It offers good and meaningful default values for beginners in every operator.

Since you are able to see what you are doing, it is quite easy for beginners to understand

the science behind.

The computation speed is really fine even on notebooks (when trying out to sketch a new process).

What do you dislike?

RapidStudio charts are looking a bit old fashioned and simple (compared to BI solutions such as PowerBI or Tableau).

Configuration of axes and labelling formats is not possible in the simple charting modes and the complex charts are not easy to configure.

Recommendations to others considering the product

You will be able to get data easily into RapidMiner as well as first useful results.

The RapidMiner Book is great and offers a good starting point for analysing with RapidMiner.

In combination with a other books (such as "Data Mining for the masses" from Matthew North as well as

"Predictive Analytics and Data Mining" from Deshpande and Kotu), soon you will know enough to help yourself and tackle every data problem.

I adore Ingos youtube channel and he has got talent explaining things easy.

That's a real valuable ressource for Data Scientists and students alike.

What business problems are you solving with the product? What benefits have you realized?

Since I am teaching, I am trying to cover everything from clustering, classification,

association rule mining and regression. Some of my students have used RapidMiner Studio for Text Mining purposes as well and where obtaining good results (within their thesis e.g.).

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RapidMiner review by Nicolò S.
Software Engineer
Small-Business
(11-50 employees)
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"An intuitive, complete, ready to use Data Science solution with Machine Learning algorithms"

What do you like best?

The UI is very intuitive, it's easy to play around with advanced machine learning algorithms with the simplicity of a drag and drop, flow-based interface.

It's easy to integrate RapidMiner with and ETL process, as it can connects to several DBMS and also Cloud Storage services, and it is also easy to integrate it with BI Tools, as it can output data to DBs or even expose data through webservices (OData) by using Rapid Miner Server.

One of thing I liked the most is the impressive quantity and quality of the documentation, that can be found both inside the application and in the website. It's not just a getting started documentation, it really delves into the details of each algorithms and gives you a non negligible free know-how; there is also a considerable number of tutorials and examples directly accessible from the documentation items. On top of that, there is a very effective series of video training available on the website, which guides you through implementing the major steps of a Data Analysis solution.

What do you dislike?

The RapidStudio Server UI it's a bit old fashioned.

Recommendations to others considering the product

It has a very good customer support and they offer free webinars on how to use the application.

Ingo, the company founder, also has a YouTube channel where he effectively explains the basic idea behind the most important ML algorithms and why to use them.

What business problems are you solving with the product? What benefits have you realized?

I'm trying several techniques for outliers detection, machine learning algorithms offers several way to do that and RapidMiner is an easy and ready to use solution that implements those algorithms.

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RapidMiner review by Manuel K.
Mid-Market
(201-500 employees)
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"Rapidminer fits exactly the needs for an fast and flexible Predicitve Analytics Solution"

What do you like best?

The simple useage and the possibility to learn all necessary aspects in a short amount of time so you can do professional data science very fast and easy. The frontend shows all essential parts on one view and you can customize the view exactly to your needs to support your personal preferences while working. The flexible design of a process throgh the Operators that are exactly described right within the Software and even linked to a use case showing the function of each Operator.

What do you dislike?

The large amount of RAM used to handle large datasets (e.g. to join them) and no possibility (i know) to have an alternative to work around this Problem and the vizualisation engine feels a bit slow slow sometimes when handling large datasets.

What business problems are you solving with the product? What benefits have you realized?

I use Rapidminer to do Predictive Analytics processes as well as Research with Text Mining proceses in the area of Marketing and Sales. I get a lot of additional insights to use and have a scoring for potential customers to evaluate the best possible customers on the market.

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RapidMiner review by Michael G.
Small-Business
(Myself Only)
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"RapidMiner - An Agile Solution for Machine Learning Based Problem Solving"

What do you like best?

RapidMiner is a comprehensive and intuitive structure for managing end-to-end machine learning problems. Data can be easily aggregated from multiple sources and prepared thru standard reusable operators and processes. Applying multiple methods to gain insights into useful patterns is easily performed\learned in a short time without having to master Python, R, and other frameworks.

What do you dislike?

It'd be helpful to provide more transparency in the underlying "math" for those wanting to learn how calculations are performed. Some of this is easy to get to, but some of the methods provide results without the ability to drill into the underlying calculations. Maybe there could be links to open resources like Coursera, Khan Academy, MIT, etc. where excellent examples beyond the RapidMiner documentation and tutorials are provided.

What business problems are you solving with the product? What benefits have you realized?

We're using RapidMiner to measure the susceptibility of infrastructure failure (water systems, energy, roads, etc.)

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RapidMiner review by Georges V.
Contactor, Master Black Belt, Lean Six Sigma Trainer, Mentor
Management Consulting
Small-Business
(Myself Only)
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"It's fast, It's easy to use and above all it is a great tool to learn proper data analysis."

What do you like best?

Modular construction of a model. Taking it one action at the time, that way you do not have to redo the whole module. It is also a lot easier to find where you need to make a change.

What do you dislike?

I cannot think of anything I dislike about Rapidminer at the moment.

Recommendations to others considering the product

If you are serious about Data Analysis, then you need to try Rapidminer. I introduce Rapidminer to all my Lean Six Sigma Green Belts and Black Belts, and everyone of them has indicated that they were seriously impressed.

What business problems are you solving with the product? What benefits have you realized?

In the past I used SPSS modeler, but since IBM has bought this software I have lost track. Rapidminer uses similar modular methods and I am still in the process of becoming more familiar with it all, but it definitely has a lot better educational support.

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RapidMiner review by Hong Z.
professor
Education Management
Mid-Market
(201-500 employees)
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"RapidMiner, an easy to use but powerful data mining tool"

What do you like best?

RapidMiner is very easy to use. With a little bit tutorial, a beginner can quickly start learning data mining by using RapidMiner. This tool is written in Java, which means that it can work on any platforms. Its basic version is free, and for education purpose the fully function version is available for free, too. I adopt this tool as a major data mining tool in my Introduction to Data Mining course. It is best for students with little data mining knowledge.

In addition, the documentation is great. Users can read documents on the right-bottom when an operator is selected. This makes it so handy to learn the details about an operator

What do you dislike?

So far I do not have anything that I dislike.

Recommendations to others considering the product

this is a great software that I would recommend.

What business problems are you solving with the product? What benefits have you realized?

1. using as a major tool for teaching students.

2. I also begin to use it for my own data mining research

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RapidMiner review by Mark P.
Data Scientist Intern
Maritime
Enterprise
(10,001+ employees)
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"RapidMiner; A Career Starter and a Problem Solver"

What do you like best?

RapidMiner allows you to utilize the discoveries of the statistical/mathematical/programming communities with little prior knowledge of theory and no experience with coding. The RapidMiner community provides educational videos as well as face-to-face workshops and webinars. On top of that, there are tutorials in product that help new users adjust quickly to the program and to the field.

What do you dislike?

The company promotes education at its own expense and is doing great work for the business/data science communities. Some webinars/videos that they provide are business orientated while some are theory leaning. The only thing that I dislike is the amount of videos (there are hundreds) to watch and so little time to do so.

Recommendations to others considering the product

Try it out for yourself, it's free! The tutorials take less than a few minutes and you'll catch on quickly, I guarantee it!

What business problems are you solving with the product? What benefits have you realized?

Programming is allows flexibility at the cost of time. RapidMiner saves that time spent configuring code and allows you to link other languages such as R to restore that flexibility.

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RapidMiner review by Katharina M.
Prof. Dr.
Research
Mid-Market
(501-1000 employees)
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"Best Data Science"

What do you like best?

Complex analyses of complex data is made simple in a drag&drop style, presented in layers of abstraction and well documented in understandable terms. This makes an analysis reproducible and easily transferable to another application. In contrast to scripts that cannot be used without its developer, RapidMiner processes are at hand to everybody, instantly.

What do you dislike?

It may happen that you are not so happy with the version that is not for cloud computing. Ok, buy the one with Radoop and all support!

Recommendations to others considering the product

Try the introductory case processes and play! When going productive, book training and consulting by RapidMiner to gain the full benefit.

What business problems are you solving with the product? What benefits have you realized?

Resource saving in production processes is a large field ranging from anomaly detection based on time series over quality prediction based on sensor/machine data from the production process and finally to prescriptive analysis which controls the production through multi objective optimisation.

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RapidMiner review by Ales J.
vice-head of Department of Control & Information Systems
Small-Business
(Myself Only)
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"RapidMiner as a principal ML education tool"

What do you like best?

We use the Rapid Miner software as a principal software tool in the educational process of future MSc. degree graduates in Control Engineering, courses in Artificial intelligence. The aspects we appreciate most are:

- Availability of educational version on 1-year basis

- A wide range of provided methods

- Ease and real rapidity of the use (worthwhile of the tool name)

- Permanent software development

- Good acceptance from the side of higher-education students

- Good and rapid communication with provider representatives

What do you dislike?

I do not have anything special to dislike. The only thing (just to say something) - when moving from older to newer versions, change of the names of operator grouping have caused some confusions to me. However, maybe an idea for future how to help future customers: in many times unexperinced user may be desoriented by amount of available methods - what about providing an in-built questionaire-like knowledge-based system that would recommend a particular method (or a group of methods) proper for the given problem ... based on questions like: format of input data (numeric, nominal, both), label type (numeric, polynomial, binominal), missing data (yes,no), type of problem (classification, regression, rules), output model (cluster, centroid, hierarchical, prototypes,...)?

Recommendations to others considering the product

Just try and you will see.

What business problems are you solving with the product? What benefits have you realized?

At the moment the tool is used to prepare (educate) future IT professionals (in future mostly employed in electrical engineering industry) - data transformations, classification and regression problems, etc.

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RapidMiner review by User in Utilities
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"Using RapidMiner for about a year, and it has definitely added value."

What do you like best?

Definitely the ease of use. The interface makes it very approachable to people without a technical background. Have drop downs/set options for operators is a lot better than digging through code documentation.

What do you dislike?

As with all software, there are still a few bugs (but the support team moves to address them quickly). I do miss using find-replace within my R and SAS code for quickly changing processes to a new problem. I find that I have to go into several operators to fix things in them. Ultimately, de-bugging can take some time. Also, I am still highly reliant on RapidMiner support since the user community is a little smaller than something like R.

Recommendations to others considering the product

Build out an in-house training program with tiered internal support.

What business problems are you solving with the product? What benefits have you realized?

Right now we are using the text mining and similarity operators to identify duplicate or near duplicate database records. Also, we are doing time series prediction for daily call volumes in our call center (but another group is working on that) Also using it for process improvement, shifting manual queries from databases and excel into a single workflow.

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RapidMiner review by Le H.
Small-Business
(11-50 employees)
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"Simple but very Strong"

What do you like best?

GUI is easy to use. Unlimited data size. Speed is very fast. and the most thing I like is the support. License came quickly after I fill in the form. And I can use a free education version in 1 year. That help me so much

What do you dislike?

I don't any thing to dislike. But I hope it can improve speed more.

Recommendations to others considering the product

That is very good for data mining. Although I am a newbie and I don't use all of tool of rapid miner, it is still perfect, atleast i think.

What business problems are you solving with the product? What benefits have you realized?

I use RapidMiner to train Self-organizing map for my research. That is a machine learning method in drug discovery. It help me reduce the size of my data, and i can find compounds which is similar to my active compounds.

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RapidMiner review by Delano L.
Desenvolvedor de Negócio Sênior e Inteligência de Mercado
Small-Business
(2-10 employees)
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"Focus on the development of analyzes that generate results."

What do you like best?

Rapidminer allows you to build a rationale fluidly. The way the tool was designed makes the whole focus on building powerful analytical models without worrying about specific points. As you build an analytical model and are faced with the need to perform some transformation or correction, you'll find the right operator on RapidMiner to solve the problem. It's amazing how Rapidminer keeps its efforts in the right spot, without going through the technical implementation line that is time consuming and without allowing you to develop a simple and wrong model. The flow of the tool causes an immersion in understanding aspects of each operator used and give you security of the model that was created. All this with a good performance for large databases. For me, working with market intelligence is perfect, keeping my focus on finding the best results. At the same time that you use RapidMiner, you develop a learning cycle that transcends the tool and goes into questions about how the various algorithms work. You are asking the right questions and increasing your power of understanding.

What do you dislike?

Although it does not seem to be one of its focuses, it would be interesting if RapidMiner had more options for visualizing data and that in some way facilitated the construction of reports, without the need of other tools, such as Excel or Tableau.

Recommendations to others considering the product

A great tool.

What business problems are you solving with the product? What benefits have you realized?

I have mainly used for the construction of analytical models focused on analysis of unstructured data, mainly of social media. I have currently used RapidMiner to analyze sales data and other quantitative data, such as demand forecast data.

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RapidMiner review by Taz M.
Mid-Market
(51-200 employees)
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"Great tool that keeps getting better."

What do you like best?

I have used this tool since I started data analytics in college and found it relatively intuitive to use even with little mining/ analytics experience. I like the speed at which I can build processes- and the ease at which I can test and change out elements. I also like the five minutes with Ingo series!

What do you dislike?

Occasionally the documentation can get a little difficult to understand.

Recommendations to others considering the product

Versatile tool that goes beyond basic etl and is constantly improving

What business problems are you solving with the product? What benefits have you realized?

Churn models. Text Mining. Sentiment Analysis. Data cleaning.

Always amazed at the speed at which data can be tamed and turned into insight. Sometimes there are hiccups and it takes longer. Most of the time, however, reporting the findings takes the bulk of the day.

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RapidMiner review by Marko M.
Assistant Professor
Research
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"Motivates students to learn machine learning"

What do you like best?

I like intuitive user interface. Because of it, novice users quickly get a grip on basic machine learning steps. A lot of time spent when performing a machine learning task is usually spent with data pre-processing and trying to understand, what data means. Rapidminer offers a plethora of possibilities to import the data from various sources and formats, as well as some really powerful data visualization tools. All major ML models are also included. It is also very nice to have free academic licence available - for students and instructors. Academic licence is easily and quickly obtainable and the process does not require lengthy bureaucratic procedure.

What do you dislike?

I personally dislike that some metrics for performance of the models are missing. I have been unable to find adjusted R squared parameter for evaluation of multiple linear regression models. I could also benefit from additional metrics for feature relevance. For example i could benefit from standardized multiple linear regression coefficients.

Recommendations to others considering the product

Look at their tutorials. They provide quick start into machine learning.

If you are entitled for academic licence - it is free. When you will need it to support a business case, in my opinion the licence price is reasonable.

What business problems are you solving with the product? What benefits have you realized?

I am using Rapidminer in lab classes. I am also using it to rapidly test and evaluate research related ideas.

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RapidMiner review by Gopala Krishna M.
Data Scientist Intern
Banking
Mid-Market
(501-1000 employees)
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"Easy to use the product and implement the data science solutions"

What do you like best?

Rapid Miner is self explanatory and very easy to use tool. Following the videos on the website is enough. Once we started using the tool, the vendor has reached out to us to know if we are facing any issues and helped in understanding the tool. We were able to use the tool for data cleaning, data analysis, data modeling.

What do you dislike?

Rapid miner do not have wide variety of options to visualize the data as charts and graphs. I would like to see more graph options included.

Recommendations to others considering the product

We used the tool on smaller data sets. Try the tool with larger data sets to see the performance.

What business problems are you solving with the product? What benefits have you realized?

We are trying to use the tool to study the churning, performance and clustering of clients. The studies resulted in lot of insights which we can use.

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RapidMiner review by Rajnish P.
Solution Architect and Technical Advisor
Information Technology and Services
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"RapidMiner Studio Review"

What do you like best?

RapidMiner is a predictive data analytics software but also offers capabilities such as AI/ML program. Functionally, it provides thet same capability as using programming languages, but utilizing a graphical user interface to develop process models. This utilizes "parameterized" process blocks, the same as if they were programmed.

RapidMiner has a community edition for 10,000 rows of data to process for free on the desktop. Advanced paid editions are capable of automated process generation, and installation into cloud environments such as Amazon Web Services. The Server edition enables the process automation. There is a marketplace that allows you to add extensions to the baseline package.

RapidMiner is a great way to get into concepts such as natural language processing, time series data analysis, web mining, k-means analysis, data clustering, recommendation generation and other capabilities. It also has native support for R and Python, as well as their libraries.

What do you dislike?

Any tool in the AI/ML space will require learning of the concepts and how they are are applied in a computational tool. This means learning about vector and matrix math, and general statistical capabilities to be productive sooner.

I would recommend learning about the AI/ML concepts from places such as Coursera or Udemy. Then to RapidMiner's site and YouTube channel to learn in greater detail, as well as the mechanics and operations of RapidMiner itself.

What business problems are you solving with the product? What benefits have you realized?

We will be using RapidMiner for natural language processing in healthcare, 2D graphical brain maps, analysis of billing fraud, and reduction of errors in medical coding.

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RapidMiner review by Lorenzo B.
Consultant
Management Consulting
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"it's rocket science, isn't it?"

What do you like best?

when it comes to science, you need to keep it on track with a rigorous framework , even though you are offering an easy to use platform. They actually deliver. The UI is intuitive, which is a plus for the user, but still there is not compromise on the fact that users have to know the how, what and why of their research, analysis or mining.

There are plenty of information, tutorials and resources (videos on youtube, for example).

What do you dislike?

quick and easy: pricing system, which unfortunately is a common feature with so many platform out there.

What business problems are you solving with the product? What benefits have you realized?

so far, I have experience with a peculiar extension, related to process mining. Clients directly won't get it, but this extension let you perform several analysis reducing mistakes and delivering reliable insights (if you design them in the right way).

Even though it is not my primary tool, I would recommend to spend time on it.

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RapidMiner review by Stefan E.
Enterprise
(10,001+ employees)
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"Easy access to the world of predictive analytics"

What do you like best?

RM provides an easy access to the world of predictive analytics. In my view, it is as useful for that purpose as - say - MS Access for SQL databases, i.e. it makes advanced tools accessible to a wider public by means of an easy to use GUI.

What do you dislike?

As a rule, RM communicates with a cloud. This is a very undesired feature when it comes to professional use and adherence to corporate standards. I have tried several times to discuss the issue with RM's customer support, but there seems to be no good understanding how to savely use RM locally (i.e. without an internet connection) in a way that is complient with corporate standards regarding IT/data security. This is very sad since it limits the professional use of RM to a design phase, while for production you still have to do the implementation in Python or the like.

Recommendations to others considering the product

Must try!

What business problems are you solving with the product? What benefits have you realized?

Any sort of data analysis using supervised and unsupervised learning algorithms, typically on numerical data (no text mining).

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RapidMiner review by Sutanu M.
Small-Business
(11-50 employees)
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"Flexible and handy tool for analytics and machine learning"

What do you like best?

The design of the tool and associated tutorials that guide the first time users and learners to start analytics and machine learning first by scratching the surface and then slowly drill deeper. The design that centers around use of operatives, categorized into different sets like Data Cleansing to Predictive Analytics provide a visual guide to learners about the steps necessary in building models.

What do you dislike?

Nothing much. RapidMiner need to expand and include more operatives like say statistical tests to test stability or normality. Often statistical tests form important part in model building.

What business problems are you solving with the product? What benefits have you realized?

Generally in survey analysis. RapidMiner helps in surveys in classification of respondents based on profiles and specificity in responses.

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RapidMiner review by Dylan M.
Small-Business
(Myself Only)
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"Great, easy-to-use tool for learning analytics"

What do you like best?

As a person who has taught myself analytics (and continues to do so), what I appreciate most about RapidMiner Studio is the embedded tutorials.

What do you dislike?

In 7.xxx, I did not like the UI so much. Now, in version 8.xxx, the UI is a bit nicer. Still, the windows such as a parameters and operators can be hard to scale and position on smaller screens (such as my main notebook) though they display well on external monitors.

Recommendations to others considering the product

Give it a try, especially if you are a beginner!

What business problems are you solving with the product? What benefits have you realized?

Right now getting a foothold in predictive analytics--I am gaining skills that I plan to apply to an upcoming e-commerce website project.

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RapidMiner review by Iulian C.
Lecturer
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"Easy to use software even for the users with no technical background"

What do you like best?

RapidMiner Studio is free to use for educational purpose. This is the main purpose I use this softwre so it fits quite good. The licences are straightforward to obtain.

On the technical side, it is quite easy to use for the students with little technical background like my students but it becomes a poweful tool even for the programmers.

What do you dislike?

Not much, perhaps some more features to use it in batch mode, obtaining and assessing the results automatically. When grading 80 solutions for a problem, it becomes a tedious work to open each solution sent by the students and run it. I have used the batch mode with some success.

What business problems are you solving with the product? What benefits have you realized?

The students are able to implement their solutions to Data Mining problems presented during the course.

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RapidMiner review by Consultant
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"I lecture AI economics and support student team project with rapidminer at University in South Korea"

What do you like best?

User-Friendly GUI-based process modeling

Easy parameter setting

Auto Model

Data Quality

What do you dislike?

User technical support sites, such as Resource site, Youtobe, chatbot, Community, etc.. need to be more organized and user-friendly.

extensions for Korean characters, such as word2vec, text mining

Process Model Knowledge base needs to be more organized and updated

Unclear response from Chatbot customer services

Week of cutting edge Deep Learning functions and blenders.

Knowledge bases needs to be improved

Extension partner's sit

Recommendations to others considering the product

Definitely I recommend. but it needs to support Korean Character set for text mining and word2vec.

I'd be a contributor for Korean market localization because of Korean NLP and POS tagger experience.

What business problems are you solving with the product? What benefits have you realized?

Vod(Video on Demand) recommendation project for Korea Telecom.

AI AML for Korea FIU

AI semantic regulation for Korean Financial Supervisory Services

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RapidMiner review by Mohd Zakree A.
Lecturer
Education Management
Enterprise
(1001-5000 employees)
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"Easiest to use, the best for data science student"

What do you like best?

It is a visual programming based software that is easy to learn, easy to use, intuitively help users to understand and focus on the process and results rather than thinking on coding. Of course we can't run away from tuning the parameter but it just make your task simpler. Furthermore, the features of RapidMiner can be significantly enhanced with other add-ons, many of which are also available for free.

What do you dislike?

It is not intelligent enough to detect unwanted or hidden character in the dataset. Sometimes RapidMIner can't detect that the input is a date but recognize it as nominal. I wish in the near future, RapidMiner will add additional intelligent sensing especially when the data comes from legacy database systems, or even Excel. I hope most of the powerful add-ons by third party companies will make it free for education purposes.

Recommendations to others considering the product

I have been considering other tool for teaching, but one of the factor I use RapidMiner in teaching is their program for education. You don't feel like you're begging for 'free lunches'. The support staff are friendly and their response time to our needs are pretty awesome. That was my experience. Try it. Nothing to lose.

What business problems are you solving with the product? What benefits have you realized?

I use Rapidminer to teach undergrad and postgraduate students on data mining, decision support and many kind of analytics such as descriptive, diagnostics, predictive and semantics. I think my students can grab the concept of analytics faster than other tools that I have been using for a while.

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RapidMiner review by User
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"Using RapidMiner for Beginner"

What do you like best?

The software is easy to use. The user does not have to code, but just have to drag-and-drop the operator. It also has many extensions regarding text processing and machine learning process.

What do you dislike?

The explanations for some parameters are not clear enough. For people who do not have any knowledge about the algorithm, they will be confused whether they should modify the parameters or not.

What business problems are you solving with the product? What benefits have you realized?

I use RapidMiner to do my Master thesis about building methods for automated grading. Since I don't have time to learn to code in any programming language, I found RapidMiner is easy to use and requires little time to learn about it. The community forum is also helpful to find some issue and the solution to solve it.

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RapidMiner review by Klaus H.
Enterprise
(1001-5000 employees)
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"Easy access to data mining for people without programming experience"

What do you like best?

The user interface makes it very easy to tell the machine what to do. So even people without programming experience can set up data mining tasks. There is much support like videos, tutorials, documentation and a huge user community. With just a bit of instruction at the beginning you can gain fast progress.

What do you dislike?

Almost nothing. Very special problems could be solved more directly in Python.

Recommendations to others considering the product

It's easy to start. So just try it.

What business problems are you solving with the product? What benefits have you realized?

We are doing natural language processing. RapidMiner helped us to set up and test a variety of text mining approaches.

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RapidMiner review by Hannes F.
Associate professor
Education Management
Mid-Market
(501-1000 employees)
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"Academic user"

What do you like best?

- Intuitive interface

- Data input very intuitive and easy

- Most machine learning algoritms are there, don't need to look for others

- Good documentation with tons of examples on product capabilities and features

- Responsive and active community always willing to help

What do you dislike?

- Poor graphic plotting possibilities, very little option to configure plots

- Once you leave the platform, all graphs you generated are gone, have to recreate them.

Recommendations to others considering the product

If you wan't to quickly learn how to machine learning works, this is the tool for you, you don't need any deep knowledge in the field. My recommendation is to start with Gradient Boosted Algoritms, since they are very robust and overfitting prone.

What business problems are you solving with the product? What benefits have you realized?

Mostly agriculture related problems, like creating models of plant nutrient content via spectroscopic techniques, etc.

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RapidMiner review by Anthony U.
Data Analytic Consultant
Information Technology and Services
Mid-Market
(51-200 employees)
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"Rapid Miner is the best statistical tool for data mining "

What do you like best?

I used it as a recommender system and I found it awesome

What do you dislike?

No dislikes they only get better I strongly believe when more clients get to know about them many will leave r because when the work is done the client needs to manage the process on his own. Rapid miner gives the client a soft landing when consultants are done with their work. He can simply take over and run algorithms on his own without no knowing how to code

What business problems are you solving with the product? What benefits have you realized?

The latest version proves to me that it can be used to predict machine breakdowns awesome tool looking forward

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RapidMiner review by David B.
Small-Business
(Myself Only)
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"Fast Learning Curve (December 16) 7.3001"

What do you like best?

Easy and fast learning curve.Official online Video Tutorials are very good. I'm new to Data Analytics (11 Months).In a very short space of time, The default screen is very well designed. The "Wisdom of the Crowds" section is very useful. There were plenty of times I was able to select the operator I needed from this section, This saved time. I could do Predictive Modelling and Sentiment Analysis. With reference to Sentiment Analysis, I wanted to compare two data sets. I was able to create a process, apply it to my first dataset and save the process. I was then able to reuse the same process on the second dataset. There was no need to rebuild the process. This saved me a considerable amount of time.

There is no coding involved. I could Fine Tune the process and Parameters.This allowed me to concentrate on producing better reports.

Rapidminer has the ability to produce fantastic charts and graphs. There is also the option to export results to Tableau.

What do you dislike?

I found it difficult to find an Official online Video to link up MYSQL database to Rapidminer.

This is probably more of a technical issue than Rapidminer.

What business problems are you solving with the product? What benefits have you realized?

Predictive Modeling, I used different models Decision models for example Decision Tree, Random Forest, Naive Bayes and K-Nearest Neighbour.

Sentiment Analysis. With reference to Sentiment Analysis, Search Twitter operator.

Third Party Extensions Analyse Sentiment Operator (Aylien.com) and Extract Gender Operator(Namsor.com)

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RapidMiner review by Jonatan M.
Asesor
Public Policy
Enterprise
(1001-5000 employees)
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"A lot of functions, easy to use"

What do you like best?

I can use for all the work with data except visualisations. Very good tool for data cleaning and integration and very easy for create models with data.

What do you dislike?

Some options, like sentiment analysis are from external developers and you have to pay for it after a few days of use.

What business problems are you solving with the product? What benefits have you realized?

Data integration and modelling, i can solve some data integration problems and i can create some different tipe of models, both predictive and descriptive.

I also use sentiment analysis features for analysis of citizens proposals and comments.

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RapidMiner review by Doron T.
Director of Business and Professional Development
Management Consulting
Small-Business
(Myself Only)
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"I have used it to study data science"

What do you like best?

Rapidminer is quick to learn, easy to configure and intuitive. It therefore provides a very cost effective way to get a hands-on broad introduction to the wide, yet confusing field of data science.

What do you dislike?

Documentation of processes could and should be much better. Many of the doc pages seem to be a copy and paste of sections from other processes, often poorly adapted and missing some of the more important details, espcially when it comes to processes that serve similar purposes that are rather difficult to distinguish from one another.

Recommendations to others considering the product

I found RapidMiner to be a very good way for getting a practical hans-on view of data science. If you want to "jump" right into it, and if you have the right background, you would get a good feel for many "standard" data science operations.

What business problems are you solving with the product? What benefits have you realized?

I plan to use RapidMiner for analyzing eye tracking data to be collected from human subjects.

Helpful?