End to End Data Science

At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best.

Register for KNIME Release Data Talks on December 9.

How can KNIME Software Help in your Data Analysis?

Create

Blend & Transform

Access, merge, and transform all of your data.

Model & Visualize

Make sense of your data with the tools you choose.

Productionize

Deploy & Manage

Support enterprise-wide data science practices.

Consume & Interact

Leverage insights gained from your data.
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KNIME Analytics Platform

KNIME Analytics Platform is the free, open-source software for creating data science.

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KNIME Server

KNIME Server is the commercial solution for productionizing data science.

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12 Components Built By and For the KNIME Community

Components, for sharing and reusing bundled functionality. It's impressive to see the variety of useful and also fun components built by the community and shared for reuse on the KNIME Hub. Here we highlight twelve....

November 25, 2021 – by Paolo Tamagnini
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KNIME Software: Creating and Productionizing Data Science
Automated Workflow Testing and Validation

Automate testing, save time, and catch errors early.

Inventory Level Optimization

Achieve the perfect trade-off between inventory costs and service level.

Disease Tagging

Reduce time spent sifting through medical literature with automatic disease tagging.

Recommendation Engine for Retailers

Increase store level sales through better brand portfolio decision making.

Customer Sentiment Measurement

Evaluate customer pain points to better allocate and manage resources.

Risk Information Extraction

Remove the need for manual work by automatically gathering and harmonizing text-based information.

Semantics and Ontologies

Extracting and sharing knowledge in a reusable way.

Anomaly Detection

Predict when critical equipment parts will go bad to prevent failures and downtime.

Price Benchmarking

Stay ahead of the competition with automated pricing insights.

Automated Workflow Testing and Validation

Inventory Level Optimization

Disease Tagging

Recommendation Engine for Retailers

Customer Sentiment Measurement

Risk Information Extraction

Semantics and Ontologies

Anomaly Detection

Price Benchmarking

Contributor of the Month

We are happy to announce Andrea De Mauro as the community contributor for December. Andrea has had a multifaceted career. He’s been a business data analyst, data scientist, BI and data science manager at Vodafone and P&G, a university professor at various universities across Europe, a blogger, social media influencer, and book author. Throughout his career, and for all his professional activities, KNIME has been his reliable companion. His latest book - “Data Analytics Made Easy” published by Packt in 2021 - shows how to use machine learning and data science techniques in the business context without writing any code.

Thanks Andrea for your contributions!

Each month we highlight community members who are doing unique and interesting things with KNIME or sharing useful data science tips and tricks.

Visit Andrea's Hub Profile

Join the KNIME Community

Join us, along with our global community of users, developers, partners and customers in sharing not only data science, but also domain knowledge, insights and ideas. 

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