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.

How can KNIME Software help you?

Create

Gather & Wrangle

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 & Optimize

Leverage insights gained from your data

The KNIME Spring Summit has moved from Berlin to an online location and it’s now time to connect all our home offices out there. Check out the new online program!

Anomaly Detection

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

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.

Anomaly Detection

Inventory Level Optimization

Disease Tagging

Recommendation Engine for Retailers

Customer Sentiment Measurement

Risk Information Extraction

Joy
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With this release we are continuing our progress toward a community oriented data science platform, adding lots of functionality that enables easier sharing with the KNIME Community. Most noticeably, of course, the KNIME Hub itself but there are also a number of changes in KNIME Analytics Platform making sharing and collaborating with the community easier...
‐ by Michael Berthold
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KNIME TV
KNIME Software: Creating and Productionizing Data Science

Be part of 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. 

KNIME Users presenting their Use Cases

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