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.

Just released: KNIME Analytics Platform 4.4 and KNIME Server 4.13 with Data Apps, Conda Environment Propagation for R, Snowflake In-Database Processing, and more.

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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KNIME Hall of Fame 20/21 - A Strong Data Science Community

Read about the KNIME Contributors Of The Month 20/21 highlighted for activities enabling a better learning experience, providing technical help for fellow users, sharing experiences via articles and videos on social media, or developing new functionality....

July 29, 2021 – by Rosaria Silipo
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KNIME TV
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

Makkynm is our contributor of the month for July. He is an active KNIME community member and has written numerous blogs and guides in Japanese be it for beginner, intermediate, or advanced KNIME users. Thanks Makkynm for your contributions!

7月の寄稿者はまっきー(Makkynm)さんです。 まっきーさんは日本のKNIMEコミュニティで活躍する方で、初級、中級、上級のKNIMEユーザー向けに、日本語で多数のブログやガイドを作成しています。

マッキーさんの貢献、ありがとうございます。

毎月、KNIMEでユニークで興味深いことをしている方、またはデータサイエンスのヒントやコツを共有している方に「今月の寄稿者」として焦点を当てています。

Makkynm's Blog Makkynm'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.