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.
One Platform for Creating and Productionzing Data Science
KNIME Analytics Platform
Gather & Wrangle
Model & Visualize
Deploy & Manage
Consume & Optimize
Predict when critical equipment parts will go bad to prevent failures and downtime.
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.
Blog title one subtext goes here.
Blog title two subtext goes here.
Blog title three subheading goes here.
Blog title four subheading here.
Blog title five intro text here.
Whitepaper six intro text.
Whitepaper seven intro text here.
Blog post eight subtitle here
Blog post nine intro text.
Blog post subtitle ten goes here.
Inventory Level Optimization
Recommendation Engine for Retailers
Customer Sentiment Measurement
Risk Information Extraction
Blog Title One
Blog Title Two
Blog Title Three
Blog Title Four
Blog Title Five
Blog Post Eight
Blog Post Nine
Blog Post Ten
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.
Markus Lauber is a highly active member of the KNIME Forum and has also made many valuable contributions to the KNIME Hub in his public space. We'd like to especially point out his School of Duplicates article, which is just one of many! You can find it linked from the Knowledge Sharing category on our KNIME Forum.
Thanks for your contributions, Markus!View on KNIME Forum View Markus' Spaces
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.