RapidMiner Reviews and Ratings

Use Cases and Deployment Scope

We use RapidMinerStudio as a data organizational tool. We feed our data into RapidMiner Studio and it helps us create different data trees to sort through the massive amounts of data that we work on in a daily basis. It is very useful as a training toll to familiarize our new hires with the data that we are working with.

Likelihood to Recommend

RapidMiner Studio was very helpful when we were training our new hires as it allowed them to play around with the data and help us pull the information that we need and it gives them a better understanding of what we really do. Some areas it is less appropriate are when we are trying to work on different data sets and other data rapid miner takes up a lot of processing power and you are unable to do multitasking unless you have a really expensive computer.

Use Cases and Deployment Scope

We use RapidMiner to create ETL (Extract, Transform, Load) processes to load our BI datamarts with data from operational databases. We've created complex load processes, and we prepare that data to be fed, and later on, create Business Intelligence dashboards. We also use RapidMiner to perform some data mining with different techniques such as text processing, image processing, and algorithm data analysis (clustering, neuralnet, correlation, etc...)

Likelihood to Recommend

RapidMiner is really fantastic to perform fast ETL processes and work on your data as you want, no matter what is the source. You will really save a lot of time when you learn how to use it. You can create mining analysis with several algorithms, and thanks to add-ons, you can apply a lot of techniques. It will not replace a business intelligence dashboard but it allows to create great datamarts for your BI tools.

One negative thing is that It's no easy to share your outputs.

Use Cases and Deployment Scope

We in marketing currently use RapidMiner studio to help with predictive analytics for our direct mail program as well as text mining for our call transcripts.

Likelihood to Recommend

Our marketing department has benefited greatly from the use of RapidMiner. It is well suited to many marketing tracking issues.

Use Cases and Deployment Scope

We use RapidMiner as the central data science platform to teach data analytics and machine learning. We are using RapidMiner for real-world analyses. Currently, to the best of my knowledge, only my department is using RapidMiner for teaching while others are using R, SPSS or WEKA for educating data mining. Our business is in education, and therefore, our primary concern is finding the most effective way of learning analytics – both data handling and algorithms.

Likelihood to Recommend

RapidMiner has been used as a teaching aid in my classes, and I found it effective in educating data mining and analytics students. RapidMiner is well suited for any descriptive and predictive analytics because it has a pervasive set of machine learning algorithms, i.e. classification, regression, clustering, association rule mining, and other applications such as text mining. However, RapidMiner Studio is not yet designed for prescriptive analytics (i.e. solving optimization problem) such as solving scheduling, logistic route planning or bin packing problems. It has a great facility to find an optimal parameter for an algorithm but not yet for solving automatic scheduling and planning problems.

Use Cases and Deployment Scope

We use RapidMiner to run statistical algorithms on the data and answer questions which are not answered previously. It is currently used only in the business intelligence team in the company. We used RapidMiner Studio to analyze the client churning, client clustering, banker clustering and market basket analysis of the company products.

Likelihood to Recommend

RapidMiner Studio is a great starting point if you want your organization to try and start using data science or statistics. It is easy to use and self explanatory. It also has some great built in algorithms. The Recommendations feature using crowd sourcing is amazing, and will guide with next steps in the process. It is more suitable for smaller data sets. We haven't tried with larger data sets yet, so try it beforehand if you want to use large data on it.

Use Cases and Deployment Scope

<p>DisperSurance is the radical disruptive substitute for

insurance. We don’t sell insurance, we sell “risk coverage”. We have been using

RapidMiner in traditional insurance company data to:</p>

<p>1.

Identify optimization and automation opportunities

in all the insurance processes. Moreover, we had created special extensions for

the most important processes.</p>

<p>2.

Fraud detection.</p>

<p>3.

Determining the most profitable e-commerce

strategies for selling policies.</p>

<p>We have been able to design new Risk Coverage products that

are as low as 70% cheaper than traditional insurance.</p>

Likelihood to Recommend

WELL SUITED FOR:

<ol><li>For creating predictive models.</li><li>Excellent for cleaning and preparing data for a

better modeling process.</li><li>Most of the common ML algorithms can be

integrated easily.</li><li><p>Is “The Tool” when you need rapid results and the data is

not extremely large or complex.</p>

</li></ol>LESS APROPIATE FOR:

<ol><li><p>When you need cooperation between multiple developers in

separate geographical places.</p>

</li><li><p>There’re much better tools for Data visualization.

</p></li><li><p>When a project uses lots of memory.</p></li></ol>

Use Cases and Deployment Scope

I use RapidMiner it to process data from our clients mainly Telecom and Banking and I also use a version of RapidMiner purchased by our business partner at their site for their clients. I use it in my company and no on else and I advise my clients to purchase RapidMiner. I currently don't have employees that use RapidMiner.

Likelihood to Recommend

It is easy to use. It provides exceptional performance. We tried different tools and decided to use RapidMiner.

Use Cases and Deployment Scope

I currently use RapidMinder to do two things. First, to find patterns in Epilepsy Clinical Data. Second, to teach students machine learning tools.

So, in general, I'd say the business problem is research and education. I used it before to find patterns in protein interaction networks analysis. And I've taught several machine learning workshops using RapidMiner as a tool.

Likelihood to Recommend

Well suited: for data mining and general machine learning tasks, teaching machine learning, creating machine learning models.

Not well suited: if the user is beginning to learn machine learning, it would be advisable to get some general understanding before using the tool.

Use Cases and Deployment Scope

We are only 5 consultants. We are all using RapidMiner Studio in order to model machine learning structures for our clients. The problem we had before, for instance with Python code, is that it was really difficult for our clients to understand what we were doing exactly. Even when it is actually possible to build up visualization capacities in Python and R, RapidMiner gave us the option to do it so fast and accurately. I would love to see updates which can improve the graphical quality and precision, or prevent some graphical mistakes. For instance, it is very difficult to guess how much is too much when we have so many categories to diagram, sometimes saturates the space and reduces the explainability of the graphs. But still, AutoModel, Feature Engineering and the drag and drop method is wonderful to share our thoughts and discoveries about our clients reality and plans.

Likelihood to Recommend

It is perfect for medium data complexity.

Use Cases and Deployment Scope

Aptus Data Labs is based out of Bangalore, India. We are a Big Data and Advanced Analytics company, providing consulting and project delivery services &amp; solutions, catering to enterprises of all sizes, across different industries such as Healthcare, Retail &amp; Consumer Industries, BFSI, Manufacturing &amp; Supply Chain.

Since we are into advanced analytics, most of our solutions are delivered using RapidMiner. As a result of which, most of the employees in the organization use RapidMiner. We have dedicated developers for building extensions for RapidMiner as well. Some of the business problems built using RapidMiner are:

<ol><li>Fraud analysis for Banking and Financial industries</li><li>Claim and travel analytics for a manufacturing firm</li><li>Text mining and text analytics for a pharmaceutical firm and many other organizations</li><li>Optimization for e-commerce and manufacturing firm</li><li>Supply chain management for manufacturing</li><li>Supply chain planning and scheduling for oil and gas companies</li></ol>

Likelihood to Recommend

RapidMiner is the best tool to build models on textual data. It is rich in ML algorithms and reduces the need to manually tune the parameters. It automatically optimizes them, thus providing a better solution. RapidMiner again extends great capability for data preparation, its insane connections to almost every data source pulls in the data easily into one environment. And it can comfortably perform data cleaning and process tasks over that.

RapidMiner is not so good with image, audio or video data. These data points cannot be used directly in their raw form. They must be transformed into some intermediate form for performing analytics over it. Moreover, there are no connectors to directly pull data from their varied sources. For example, we don't have a connector to read audio data directly from a switch and then convert it to text (although Google speech API is available for audio to text conversion.)