Chattermill vs. RapidMiner

Think about large scale ecommerce store (with thousands customers, and hundreds of orders every week). If you want to manage a large scale customer's feedback - this tool is for you. It is too complex for small projects, but for large one it is perfect. Has some minor issues, but in general it will help you to draw a Customer Journey Map, find "hot spots" and implement solutions. Great visualization (in reports) is a huge benefit of Chattermill (and sentiment analysis of course). Thanks to connection between customer support system (like ticketing system) it will allow you to manage support/returns/warranties feedback also. I dont know how it works for other businesses but for large scaled ecommerce it is perfect

Incentivized

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.

Incentivized

• collect customer feedback
• automate feedback reports
• pulling insights on customer data

Incentivized

• I am very impressed at how easily you can work within RapidMiner without much data analytics training. Plus with the help of the crowd, you can see what steps others have taken with their data analytics projects.
• Text mining was simple and clean. We used this for our call transcription problem where we didn't have the resources to listen to each call. We needed to qualify each call based on some key phrases.
• Our direct mail program was large and not very targeted. Using RapidMiner, we were able to isolate a predictive level we felt comfortable with and decided not to send to anyone below that level. We saved quite a bit of money.

Incentivized

• More report types

• I hope RapidMiner would be the first data science platform that allows data scientists to change the behaviour of a machine learning algorithm that already exists in the repository. For example, I want to be able to change the way a genetic algorithm mutates.
• Automatic programming: One day, I hope RapidMiner can automatically generate codes in any 4th generation programming language based on the developed model.
• More tutorials/samples needed: Why doesn't RapidMiner becomes the next 'UC Irvine Machine Learning Repository'? Provide real examples and real cases for users to study and understand the best practices in modelling. RapidMiner already has some datasets for a tutorial. Besides the existing samples, I hope RapidMiner can provide more sample data and examples.

Incentivized

Very fast and user-friendly tool

Incentivized

Super easy to use and very intuitive

Incentivized

Very use to use and learn

Incentivized

Chattermill is more complex, easier to integrate between systems that we used (ticketing, livechat, reporting, CRM). Very informative reports (that will reveal what your customers really think). Custom reports creation is a benefit too - it is easier than in other systems. Automatic categorization of feedback is a helpful tool that do big part of job for you

Incentivized

We tried different data tools and we figured we give RapidMinder Studio a shot as one of our employees had experience with it, and when compared to some of the other tools that we used it was the best fit among the test group that we used. Overall it was a little more fluid and user-friendly.

Incentivized

• Helping reduce churn
• easily 10x return on investment in happy customers
• product ideas and updates that otherwise would not have been surfaced

Incentivized

• Thanks to the patters that RapidMiner has detected, we have been able to follow clues in the right direction, both for the Protein Interaction Network Analysis and for the Epilepsy Research
• Students and participants of the machine learning workshops have learned about this technology and about the tool

Incentivized