Webinar: Empower Self-Service Analytics: How to deploy Data Apps on KNIME Business Hub - February 28, 2023

Webinar on Empower Self-Service Analytics: How to deploy Data Apps on KNIME Business Hub on Tuesday February 28, 2023 5 PM - 6 PM UTC+1 (Berlin)

Put any kind of analytics–from basic reporting to machine-learning models–into the hands of end users throughout your organisation with dynamic, parameterized data apps. Deploy these insights to 1, 5 or 1000 domain experts, who can then self-sufficiently interact with their data.

In this hands-on webinar, data scientists @alinebessa and @emilio_s will show how to create informative data apps using KNIME’s low-code/no-code approach. They will also explain how data apps can be deployed and shared with a large audience through KNIME Business Hub.

Download the slides
Watch the recording

Hi all, thank you for joining the webinar! There were quite a few questions from the audience and we couldn’t answer them all during the Q&A. Here is a follow-up with the answers:

  1. Can Business Hub be embedded in other websites? e.g. A retail company sharing the dashboard on their corp website.
    Yes, that is possible and will require specific licensing to support data app users outside of your organization.

  2. How to manage Python environments in Business Hub? Is it possible for users to install new packages there?
    Conda is an option for managing Python environments in KNIME. For ease of getting started, KNIME Analytics Platform contains an embedded Python environment. But you can create your own Conda environment, adding any libraries you need. Business Hub can be configured to use a specific version of Python with the libraries you need.

  3. How do you get the view of a “blue node”?
    Blue nodes create a view which can be displayed in a Data app. To access the single node’s view you can right click on the executed node and select Interactive View: …

  4. How do you manage the position of a widget in the dashboard?
    Inside a component, click the rearrange button on top (1). Node usage and Layout window that pops up, move tiles around as you prefer. Newly added views will appear on the left (2). Drag and drop them into the desired position.

  5. Is it possible to have multiple pages in one data app? Like in a Power BI Report
    Yes! You just have to create more components in the first-level workflow.
    A workflow like the one in the figure below will create a 3-page Data app.

  6. KNIME can be integrated with other platforms such as Power BI?
    Yes. KNIME provides integration into many other software systems, including Power BI. There is a user guide for KNIME and Power BI integration on the KNIME docs website at KNIME Power BI Integration User Guide

  7. Can the visualizations be exported in SVG format?
    in the "classic2 visualization nodes, yes. you can select the option to export the view as SVG. In the new KNIME View nodes you can download it as a PNG file directly from the view.

  8. If you have a workflow that relies on data provided by the user, can the data files be imported from KNIME Business Hub and be consumed by the workflow?
    Yes, there is a File Upload Widget node that can be embedded in a Data app. When the app is run, the app user will be able to select a file to use.

  9. Is KNIME Business Hub and access to it a paid service?
    Not currently. We do support Teams as a paid service on the Community Hub at Pricing for KNIME Community Hub – KNIME Community Hub. We are also planning on adding execution services to the Community Hub.

  10. Can you please show how app is access from CEO perspective (final user)?
    Besides the “Deployment” section under the workflow page, each user has a “Shared with me” page with a list of all deployments they have access to. The Data app can be run from the button on the right.

  11. Is it possible (and useful) to use the KNIME Business Hub as a REST or GraphQL endpoint?
    Yes. A workflow can be deployed as a Service on KNIME Business Hub. Data can be passed to and from the workflow using, for example, one of the JSON-Processing nodes for input and output.


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