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KNIME for data experts
Accelerate time to insight, collaborate with other disciplines, and empower upskilling across business functions, so that you can focus on strategic projects.
Spend time where it matters
Focus on creating and productionizing advanced analytics, with or without code.
Explore Success Stories
Why KNIME for data experts
Handle more requests faster
- Get insights faster, without any coding, using a low-code/no-code interface and a genAI assistant.
- Prep, analyze, and deploy data science solutions in a single, end-to-end platform.
- Eliminate repetitive, manual work by creating reusable, automated workflows.
- Provide custom views of data and empower ad hoc analysis through data apps.
- Get the choice to auto-create scripts with an AI-powered coding assistant.
Collaborate across teams and disciplines
- Bridge the gap between data and business experts with KNIME as a lingua franca.
- Scale analytics access and enable self-service with a low-code/no-code interface.
- Facilitate collaboration between business and data teams with easy-to-follow, visual workflows.
- Save and share Python scripts, analytical models, or data processes for reuse.
Reskill and upskill
- Ensure self-sufficiency in non-technical users with a low-code/no-code interface.
- Provide blueprints that non-experts can learn and upskill from independently.
- Broaden your team’s data science skills with access to the latest and most advanced analytics including LLMs.
- Speed up learning with workflow blueprints and a genAI assistant to guide you through newer disciplines.
Ensure model quality and accuracy
- Deploy worValidate models with performance metrics and carry out cross validation to guarantee model stability.
- Explain machine learning models with LIME, Shap/Shapley values. Understand model predictions with the interactive partial dependence/ICE plot.
- Automatically document each step of the analysis visually.
- Make model maintenance straightforward and mistakes easier to fix with version control, debugging, tracking, and auditing.
