KNIME Powers Solutions for 1000s of Teams
in R&D, Production and Supply Chain
Give Data & Manufacturing Experts a Common Language
KNIME provides an intuitive, visual language for all data workers–whether they’re managers on the factory floor, seasoned data scientists, or Six Sigma engineers.
Domain experts can start working with big data and push beyond spreadsheets, while data experts get back time to focus on advanced analytics.
An Intuitive, Visual Tool Enables the Upskilling of any Data Worker
KNIME Supports Every Step in the Path Towards Industry 5.0
A single platform that helps the manufacturer to finally mature out of “pilot purgatory” and make data analysis commonplace, by supporting basic and advanced use cases.
Analysts: Combine Data, Any Size from Any Source
⇒ Learn more about the blending possibilities in our “Will It Blend?” series
⇒ See an example in this blog post where we accessed and analyzed IoT data
Data Experts: Build, Explain and Ship AI and ML Models
Apply all the latest and greatest techniques through KNIME’s open platform, with or without code. Get buy-in from production managers, technicians, or any domain expert using the intuitive, visual interface.
⇒ Learn more in our series on anomaly detection for predictive maintenance
⇒ See an example for demand prediction using Multivariate Time Series Analysis
Six Sigma Blackbelts: Power DMAIC with Big Data
Combine the Six Sigma approach with data science best practices for more sustainable and accurate process improvement recommendations..
⇒ See an example of how KNIME workflows helped solve DMAIC pain points
IT: Ship Secure, Enterprise-Wide Data Solutions
KNIME Platform supports end to end projects, including the shipping and monitoring of models in production.
⇒ Learn about how KNIME closes the gap between creation and production
⇒ Read more about how KNIME supports execution at the edge, across geographic locations
Build Data Teams Without Limits
No matter where your team is in their journey, invest in a tool that will be useful in every stage of analytics maturity. Reach out to our customer care team to learn more about how KNIME can be used at your organization.
KNIME helps individuals and organizations make sense of data.
KNIME Software bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and Machine Learning techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies.
KNIME Analytics Platform is the open source software for making sense of data. The software’s intuitive drag-and-drop interface can be used by any kind of data worker, from the business analyst to the data-scientist. Choose a low-code or no-code approach, integrating any and all of your favorite technology.
KNIME Server is the enterprise software for team-based collaboration, automation, management, and deployment of data science. Teams of non-experts can take advantage of bleeding edge techniques through data-powered apps, built within KNIME or connected via a REST API.
KNIME has packages available for teams of all sizes. KNIME Server Small package is designed for small teams to collaborate remotely, KNIME Server Medium for teams who would like to deploy their solutions as data apps and REST APIs, and KNIME Server Large for big teams with multiple installation and global collaboration.
Manufacturing industry is creating huge volumes of data which is nearly useless in its “raw” state. The first steps of manufacturing analytics are improving the quality of the data to help provide the right context when combining data from multiple sources to support new business initiatives. This is why organizations are looking for faster access to trusted and relevant data to make better business decisions and innovating the new products and services to add value to the organizations. Manufacturers can then put that data to work and gather information from multiple data sources, take advantage of machine learning models and visualization platforms to uncover new ways to optimize their processes from the sourcing of raw materials to the sale of their finished products.
You can find out how companies are using KNIME for manufacturing analytics on the Solutions page.