RapidMiner vs. The Weather Company

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

Well suited:

• Forecasting for severe weather events.
• Generating overall seasonal trends in upcoming weather patterns.
• Content is easy to read and understand.
• Great for business decision-makers, c-level executives.

Not well-suited:

• Year ahead forecasts.
• Data that can be trusted as finite days before a weather event. The data and forecasts can change often, so remaining up to date is key.

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

• Detailed forecasts.
• Hyper-local forecasts.
• Daily updated local and meaningful forecast for our business.

Incentivized

• 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

• Forecasts are not always accurate.
• Winter weather forecasts are now often now-casted which can be challenging for proactive planning.
• Would love to see more tips on how businesses can prepare for severe weather by the use of the Weather Company’s data.

Incentivized

Very fast and user-friendly tool

Incentivized

Very use to use and learn

Incentivized

Support for the Weather Company has not been an issue. The predictive analytics processes that they use allow them to remain a strong force in the world of weather patterns and forecasts. Brand recognition allows them to continue to grow and develop in a world that is not as crowded as other predictive analytics areas.

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

Insightful meteorologists that both understands the science of weather and also understands our business needs.

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

• Better confidence in the weather forecast.

Incentivized