Automation with KNIME
Automate repetitive data tasks to save time, reduce errors, and focus your efforts on meaningful analysis.
Automate routine data tasks and gain back hours for deeper analysis
Build a workflow for any data analytics task once, then set it to run automatically on a schedule.
My very first use case using KNIME, the time reduction we achieved was over 90%. Before, we used three hours for reporting, repetitive Excel tasks. Afterwards it took only ten minutes.
Phillipp Kowalski, Digital Enablement Agent, Siemens
Save time by automating repetitive tasks
Build your analytics workflow once then run or rerun your workflow whenever you want to without needing to manually pull fresh data. Schedule workflows to run at the frequency you need, trigger them based on specific conditions, and share data reports automatically with stakeholders.
Improve the accuracy of your data analysis and mitigate risk
Eliminate human error by establishing a consistent, repeatable, and explainable process that builds trust in your data and the insights derived from it. Execute every step in the same exact order each time with automation to deliver reliable and error-free results.
Scale automation across teams flexibly
Start automating data work immediately in small teams and pay only for the workflows you run with the KNIME Team plan. As your needs grow, deploy your analysis across departments and automate the delivery of reports and interactive dashboards to any number of stakeholders with KNIME Business Hub.
Keep models consistent and up-to-date automatically
Automate the process of monitoring and retraining machine learning models to ensure they remain accurate and relevant. No manual oversight needed for consistently high-quality insights.
Recommended resources
How to automate data access and collection
September 26, 2024 | Dipti PanchwadkarFind out how to automate data access with KNIME.
How to automate data cleaning: Step-by-step guide
August 29, 2024 | Dipti PanchwadkarData cleaning doesn't have to be boring and time consuming.