Success Stories and Innovation Notes highlighting how KNIME Software is being used by individuals and organizations.
Data Storage & Solutions
How Seagate is using KNIME to Tackle the Digital Transformation
Every day at one of Seagateâs many global sites, people are interacting with or requiring results out of data. Moving up the analytics maturity cur...
Creating an Automated, Online Loan Application Decision Making Tool with KNIME
An application to build and validate machine learning models to create an automated online loan application tool. The tool needed to be easy to work ...
US Army G2
Applying Tensor Completion to the Study of Inter-State Competition and Irregular Conflict
Government agencies, in this case the US government specifically, need ways to interpret things out of open-source information that are not being dir...
Automation & Digitalization
Driving a Citizen Data Scientist Approach
Since January 2018, the Data Visions Team at Siemens has been developing analytical products to support the Digital Industries (DI) strategy and driv...
Automation of Physico-Chemical Properties Calculation and Registration using KNIME
The goal of this project was to provide essential information to all medicinal chemists in a timely manner. All scientists, about one hundred people ...
Sparking Data Literacy with KNIME and Making Better Decisions
Continental is committed to increasing the data literacy of the entire organization by empowering users in business functions (with no IT or programm...
Leveraging Predictive Analytics Prevents $1.3 Million Worth of Medical Supply Waste
In the US alone, $5 billion worth of medical supplies are thrown away each year. This epidemic of waste in health care facilities raises the cost of ...
Predict when critical equipment parts will go bad to prevent failures and downtime.
Recommendation Engine for Retailers
Increase store level sales through better brand portfolio decision making.
Automating Expense Reimbursements
Reduce time spent collecting, analyzing, and managing employee expenses.
Time Series Analysis
Inventory Level Optimization
Achieve the perfect trade-off between inventory costs and service level.
Customer Experience Management
Customer Sentiment Measurement
Evaluate customer pain points to better allocate and manage resources.
Stay ahead of the competition with automated pricing insights.
Predicting Stock Value Changes
Monitor stocks of interest, predict changes, and react accordingly.