We’ve recently created (and shared on the KNIME Workflow Hub - https://hub.knime.com) a number of example workflows based on the principles of Guided Analytics. Each workflow generates a web-based application which is accessible from a web browser via the KNIME WebPortal. These applications serve different purposes from automating the machine learning cycle (https://bit.ly/2JzWLyw) to easily generating single visualizations (https://bit.ly/2O9XKFf), as well as an interactive dashboard to explore complex data (https://bit.ly/2FlAPnE). Regardless of the application, the underlying workflow is based on the same template. These are slides from a webinar, where Paolo takes you behind the scenes of building a workflow for Guided Analytics so you can learn how to use KNIME Software in order to create similar Guided Analytics Applications tailored to your own data science challenge. This webinar is for analytics experts who are familiar with creating workflows for data science. Paolo demonstrates how to use the reusable components (https://bit.ly/2VYYELS) from the KNIME Hub and proposes a general approach which works with most business challenges - for example predictive maintenance, pricing decisions, customer intelligence, and more. If you’re curious about how Guided Analytics can help you quickly find insights and make better decisions in your business, check out this other KNIME webinar (https://bit.ly/2VOE4ZO). Here, Rosaria and Paolo explain and deploy a Guided Analytics Application to automatically generate machine learning solutions. Check out the webinar at https://youtu.be/hUDXcQ9Yl-0

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Paolo Tamagnini:
paolo.tamagnini@knime.com
#KNIME
#GuidedAnalytics
Behind the Scenes of Guided Analytics

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Pre-Configured Data Science Workflow
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Pre-Configured Data Science Workflow
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Load Clean & Transform Analyse
Visualize
Deploy

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An Interactive Data Science Workflow using Components
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Examples of Components Views
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Data Visualization of Results
Using interactivity
of JavaScript nodes in
a Composite View!
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How KNIME Software works with Guided Analytics
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KNIME Analytics
Platform to model a
workflow generating
the Guided Analytics
application.
KNIME Server to
deploy online the final
Guided Analytics
application.
KNIME WebPortal to
make it remotely
accessible for
everyone to leverage
insights.

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From the workflow deployed on KNIME Server..
Composite View from KNIME WebPortal
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Guided Automation as an Example
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Guided Automation as an Example
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Guided Automation as an Example
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Many Example Workflows..
hub.knime.com
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Blueprint Workflows Available on the Workflow Hub
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Guided Analytics Applications
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Guided Analytics Blueprints: Features in Common
Consistent Workflows..
– Layout and Style
– Interactive User Experience
– Sufficiently Robust
– Reuse of Components
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Finding the right balance: Interaction vs Automation
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• Modular and Reusable Components to be used, extended,
enhanced controlled from documented dialogue panels!
• Components: Automation
– Configuration nodes
– Controlled from Dialogue Panel
– Automated via Flow Variables
– Reference in Node Description
Guided Analytics Blueprints: Use of Components for Automation
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Finding the right balance: Interaction vs Automation
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• Modular and Reusable Components to be used, extended, enhanced
controlled from documented dialogue panels and..
producing interactive views!
• Components: Interaction
– Widget and JavaScript nodes
– Generating Composite Views
– Executed Twice:
Before and After interaction
Guided Analytics Blueprints: Components for Interaction
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Guided Analytics Blueprints: Styling Composite Views
• Consistent look and feel
– Layout panel for arranging
elements
– Header and Sidebar using
simple text output
– CSS styling flow variables
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docs.knime.com/latest/analytics_platform_css_guide

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Guided Analytics Blueprints: Nested Components
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Guided Analytics Blueprints: Nested Components
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Guided Analytics Blueprints: Nested Components
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Guided Analytics Blueprints: Shared Components
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Guided Analytics Blueprints: Shared Components
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Drag&Drop

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Guided Analytics Blueprints: Shared Components
• Reusable and Modular Components Repository
• Sharable Online
• Always Updating
• Documented via Node Description
• Secured via Encryption
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Mixing and Matching Automation with Interaction
The more interaction..
the easier it is to make the application work,
but the harder the web application will be.
The more automation..
the smoother the user experience,
but the more likely the application might fail
for some unforeseen scenarios.
Try to set as few interaction points as possible,
then test it and maybe add more on the user request.
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Guided Analytics Blueprints: Automating the Workflow
• Metanodes can also be used
for automation, but..
– used to hide complexity
– can still be shared
– have no dialogue panel
– no detailed node description
– no flow variables filtering
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Interaction can be Optional: Branching
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Interaction sequence cannot be Random: Parallel Branching
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One than more parallel
branch is activated.
Order of interactive
components execution
is defined via Flow Variables.

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How to easily style your Guided Analytics Application
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Styled View for Guided Analytics Components
tinyurl.com/Styled-Guided-Analytics
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Free copy of KNIME Advanced Luck Book from KNIME Press.
Download it from knime.com/knimepress
with the code: GUIDED-ANALYTICS-BTS-0619
#KNIME
#GuidedAnalytics
KNIME Advanced Luck Book

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KNIME Fall Summit 2019
November 5 – 8 at AT&T Executive Education and Conference Center,
Austin, Texas
• Tuesday & Wednesday: One-day courses
• Thursday & Friday: Summit sessions
10% off promo code:
GUIDED-ANALYTICS
Register at
knime.com/fall-summit2019

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Join us at a KNIME Meetup near you:
Stay Connected with KNIME
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The KNIME® trademark and logo and OPEN FOR INNOVATION® trademark are used by KNIME.com AG under license from KNIME GmbH,
and are registered in the United States. KNIME® is also registered in Germany.
Thank You!
#KNIME
#GuidedAnalytics