Visual Analytics Workflows
Use RapidMiner’s powerful visual analytics workflows to empower users of all skills levels, enable them to work together on projects, and establish a single source of truth for every model your teams create.
Your Entire Workflow in One Place
Every project needs a central source of truth.
RapidMiner visual workflows don’t just provide an intuitive drag-and-drop canvas—they provide a complete view of your processes down to the step. Create models in a fully visual environment, identify and troubleshoot issues easily, show your work when it’s time to make a case for deployment, and help new project stakeholders get up to speed quickly.
“RapidMiner Studio is an awesome visual workflow designer. The way they present visually is so unique. It helps in creating models in only 5 clicks by automated machine learning.”
Code-Like Control, Without Complexity
Visual doesn’t have to mean limited.
Use over 1500 built-in functions within RapidMiner’s drag-and-drop interface to go beyond algorithm selection and replicate almost everything you can do in code. Team members will always be able to create the strongest model for their use case, whether they’re a Python expert or not.
- Leverage no-code operators for techniques like looping and branching
- Benefit from drag-and-drop building blocks throughout the DS lifecycle
- Unpack operators for further tuning and customization
Data Science Is a Team Sport
Having a universal language is important when project contributors bring diverse expertise to the table.
Open any work done in RapidMiner’s automated and code-based environments in visual workflows for full visual lineage, explainability and transparency among stakeholders. Use a project-based framework to organize all the work and data that’s associated with a use case so that team members stay on the same page.
“As with any digital transformation initiative, widespread adoption of data science across an organization requires efficient and iterative collaboration.”
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