Item: RapidMiner
Rating: 9
Author: Verified User

Overall Satisfaction with RapidMiner Studio

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.

Pros and Cons

Pros

No need to script anything, and still doing modeling is amazing
Easy to use by just dragging and dropping operators
Can use the tool for data cleaning, data analysis, data modeling

Cons

Wish the tool was more efficient in terms of processing power. The tool takes a lot of CPU processing power, even for a small process on a small data set
Wish there were more options on charts and graphs to visualize the data

Return on Investment

Able to identify possible client churning, which is great for business
Client clustering helped in segmenting clients, and will possibly help in the future if we want to implement marketing campaigns based on segments
No negative effects so far

Alternatives Considered

Used R and RapidMiner Studio. The main advantage for RapidMiner Studio is the reduced need to program. It has a much smaller learning curve, and it is easy to start using the tool and analyzing from day one.

Other Software Used

Oracle Database, MicroStrategy Analytics

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.

Comments

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Easy To Use and powerful