Dataiku Trial (Sandbox)
Dataiku | 13.2.2 20241114Linux/Unix, Other 8 - 64-bit Amazon Machine Image (AMI)
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Fully collaborative, high ROI and productivity-oriented data science platform
What do you like best about the product?
- very intuitive yet complete data science platform
- connecting to any kind of data bases (SQL, NOSQL, HADOOP, Cloud, Internet Server, FTP, etc)
- all the data-transformation, ML and scoring workflow can be exported to Python, R or other script
- possibility to plug-in pre-existing scripts in Python, R,
- collaborative environment
- full parametrization of the Predictive and Machine Learning algorithms, with full access to their source code
- beautiful interface that allows the data science user to increase productivity and get the things done, with absolutely no time wasted on struggling with the software
- connecting to any kind of data bases (SQL, NOSQL, HADOOP, Cloud, Internet Server, FTP, etc)
- all the data-transformation, ML and scoring workflow can be exported to Python, R or other script
- possibility to plug-in pre-existing scripts in Python, R,
- collaborative environment
- full parametrization of the Predictive and Machine Learning algorithms, with full access to their source code
- beautiful interface that allows the data science user to increase productivity and get the things done, with absolutely no time wasted on struggling with the software
What do you dislike about the product?
- data visualization could be improved
- a free "dataiku elements" version would be awesome
- a free "dataiku elements" version would be awesome
What problems is the product solving and how is that benefiting you?
Many succesful applications for Oil and Gas industry, fin-tech, e-commerce, retail, automotive, marketing, tourism, etc.
Especially useful for the following workflows:
> Predictive Maintenance
> Dynamic Segmentation
> Churn detection and minimization
> Customer Lifetime value prediction
> Demand Forecast
> Dynamic Pricing
Especially useful for the following workflows:
> Predictive Maintenance
> Dynamic Segmentation
> Churn detection and minimization
> Customer Lifetime value prediction
> Demand Forecast
> Dynamic Pricing
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