Enable Integrations or automations with these events of Way We Do and KNIME
Triggers when a new comment is added to a checklist.
Triggers when a checklist instance is started.
Triggers when a checklist instance step is completed.
Triggers when a procedure has been accepted.
Triggers when a supervisor is invited for signoff.
Triggers when a checklist instance is finished.
Create and invite a New User.
Mark a specific step in a checklist instance as complete.
Adds a new comment to an Activated Checklist Instance step.
Starts a checklist instance for a user.
Search for a checklist by title.
Search for a checklist instance by ID.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Way We Do and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Way We Do triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Way We Do data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between Way We Do and KNIME typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Way We Do and KNIME. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Way We Do is a cloud-based platform that helps businesses create, manage, and execute their standard operating procedures (SOPs) and policies. It enables organizations to streamline their processes, ensure compliance, and improve operational efficiency by providing a centralized location for all procedural documentation.
Learn MoreKNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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