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 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.
knime-analytics-platform-data-analysis-creating-data-science

KNIME Analytics Platform

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

knime-server-putting-data-science-data-analysis-into-production-web-portal

KNIME Server

KNIME Server is the commercial solution for 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

Joy
Events
Media article
Blog
Social youtube
KNIME TV
KNIME Software: Creating and Productionizing Data Science

Contributor of the Month

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

Giuseppe Di Fatta is our contributor of the month for May. He’s Head of the Department of Computer Science at the University of Reading, where he also teaches data science courses using KNIME Analytics Platform (you can visit his courses below). The current KNIME Certification Program was developed in collaboration with Giuseppe, too. As an ardent KNIME advocate, he’s also been sharing his positive experiences using KNIME software with the academic community.

Thanks Giuseppe for your contributions!

Course: Data Science Algorithms and Tools Course: Data Analytics and Mining
knime-contributor-of-the-month-may-giuseppe-di-fatta

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.