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?
KNIME Analytics Platform
KNIME Analytics Platform is the free, open-source software for creating data science.
KNIME Server
KNIME Server is the commercial solution for productionizing data science.
Automate testing, save time, and catch errors early.
Achieve the perfect trade-off between inventory costs and service level.
Reduce time spent sifting through medical literature with automatic disease tagging.
Increase store level sales through better brand portfolio decision making.
Evaluate customer pain points to better allocate and manage resources.
Remove the need for manual work by automatically gathering and harmonizing text-based information.
Extracting and sharing knowledge in a reusable way.
Predict when critical equipment parts will go bad to prevent failures and downtime.
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 Ashok K Harnal’s automated feature engineering components as the community contributions for November. These community components add unique functionalities to KNIME Hub, and provide good examples on how to bundle and share Python scripts without dependency issues. Visit the Community Component Highlights section on the Verified Component web page to learn more.
Thanks Ashok 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 Ashok’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.
