Enable Integrations or automations with these events of Runn and KNIME
Create a new Runn project for the chosen client, with optional budget, team, and rate settings.
Create a new client in Runn using a name and optional website.
Add a person to Runn so they can be assigned a role, team, and schedule.
Create a new role in Runn to assign to people and projects.
Add a new skill to Runn so you can assign and track expertise.
Add a person to a project for selected dates with daily time, role, and billable status.
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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 Runn and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Runn triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Runn 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 Runn 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 Runn 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.
Runn is a powerful tool designed to streamline project management and resource planning. It offers intuitive features for scheduling, tracking, and forecasting, making it ideal for teams looking to optimize their workflow and resource allocation.
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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