Free and no-code data science! A data analysis platform that solves challenges in the manufacturing field.
KNIME Analytics Platform is an open-source software that allows you to design and execute advanced data analysis workflows without coding. It provides a one-stop solution for everything from data input, ETL, and preprocessing to building machine learning models, integrating AI, and visualizing results. It can be utilized to address various challenges in the manufacturing industry, such as enhancing quality control, reducing downtime through predictive maintenance, improving yield, and demand forecasting. At Infocom, we offer technical support services where our experienced engineers provide detailed assistance from guiding you on how to operate the software to building practical workflows. We also provide various training programs that systematically teach operations from beginner to advanced levels, and we distribute a patch that localizes part of the UI into Japanese for free. Even those without specialized knowledge can confidently start advanced data analysis, strongly supporting data-driven improvement activities and the promotion of digital transformation in manufacturing sites. It is available for free, so we encourage you to download it and experience the intuitive usability of KNIME. Information on operation methods and use cases is also available on our website.
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basic information
・OS - Windows 10, 11 - Windows Server 2016, 2019, 2022 - RHEL/CentOS 8, 9 - Mac OSX 12, 13 ・CPU There are no specific recommendations, but a higher number of cores is considered better. ・Memory We recommend 16GB or more. ・Disk We recommend SSD.
Price information
Free (no licensing fees due to being open source)
Price range
P1
Delivery Time
P1
※You can start using it immediately after downloading from the official website. For download and installation instructions, please refer to the "Installation Guide" on our KNIME introduction website.
Applications/Examples of results
We are widely utilizing it for various purposes, and here are some of them: 1. Quality Control and Yield Improvement Analyzing manufacturing process data and sensor data to identify factors causing defects. Establishing a real-time quality monitoring system. 2. Predictive Maintenance and Failure Prediction Detecting signs of failure from operational data and sensor values of equipment, supporting planned maintenance activities. Reducing the risk of unexpected production stoppages. 3. Production Planning Optimization Optimizing production scheduling considering demand fluctuations and raw material procurement situations. Shortening lead times and reducing inventory costs. 4. Supply Chain Optimization Analyzing process data from order receipt to delivery to visualize bottlenecks. Reducing logistics costs and improving delivery accuracy. 5. Energy Consumption Reduction Analyzing energy consumption patterns of each production line and equipment to identify waste. Planning energy-saving measures and verifying their effectiveness. 6. Knowledge Transfer from Skilled Technicians Formalizing the judgment criteria and work processes of skilled technicians, which have become tacit knowledge, through data analysis.
Detailed information
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Main screen
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What is KNIME?
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Use case
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Feature Introduction
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AI Assistant Function K-AI
Line up（5）
| Model number | overview |
|---|---|
| KNIME Analytics Platform | https://knime-infocom.jp/service/knime-analytics-platform/ |
| KNIME Japanese Starter Pack | https://knime-infocom.jp/service/starterpack/ |
| KNIME Training Services | https://knime-infocom.jp/service/training/ |
| KNIME Support Services | https://knime-infocom.jp/service/support/ |
| KNIME Machine Learning Automation Package | https://knime-infocom.jp/service/machinelearningautomation/ |
Company information
We provide advanced software sales, implementation support, and technical assistance for researchers both domestically and internationally. We support a wide range of research and development activities and deliver IT solutions that are compatible with cutting-edge technologies. By collaborating closely with many developers and related companies, we assist research activities by providing solutions optimized for our customers' needs. Based on over 30 years of rich experience and achievements, we propose solutions that combine effective software products and services, contributing to the digital transformation challenges and improvements in informatics in research settings. As a partner supporting our customers' research and development, we will achieve innovation and growth together.