MaMaTa, a subsidiary of Mecatherm, faced a significant challenge in harnessing the rich, anecdotal knowledge held by shop floor workers and the vast, unstructured data generated by industrial assets. Here’s how they used Cognite Data Fusion®, to:
- Enhance Data Integration
- Improve Operational Efficiency
- Build Scalable, Agile, Future-Proof Solutions
The Power of Industrial Stories
Workers on the shop floor hold a wealth of undocumented tribal knowledge, while industrial assets share data about their conditions and behavior in an often unstructured manner. MaMaTa’s goal is to decode and reconcile these two sides of the same story, providing knowledge that is understandable and usable for both OEMs and shop floor workers.
Existing platform solutions were insufficient for their needs, lacking the power, flexibility, and data processing capabilities essential for industrial use cases. These platforms were unable to effectively model complex data, connect new equipment efficiently, or convert shop floor stories into structured data, hindering MaMaTa’s ability to make informed, knowledge-driven decisions.
After much research, MaMaTa chose Cognite Data Fusion® to address these challenges and deliver a knowledge-driven approach that would enhance industrial performance and efficiency.
Unleash Industrial Knowledge with Cognite Data Fusion®
Approximately 70% of a machine's functions are reused from other equipment, with only 30% being unique. Knowing this, MaMaTa used Cognite Data Fusion® to create a comprehensive knowledge graph that links similar assets, enriching the overall understanding of the machinery. This modular, configurable system ensures that connecting new equipment is straightforward and that valuable information flows immediately, especially for standard components or functions. The key components of the solution included:
Advanced Data Modeling: Cognite Data Fusion’s flexible data modeling service allowed MaMaTa to create a comprehensive and detailed data model. This enabled the storage of every piece of data, whether time series or expert knowledge, in a standardized way. The ability to model complex equipment structures down to individual components significantly enhanced data organization and accessibility.
Data Understanding with Cognite Charts and low-code applications: With Charts, MaMaTa could analyze and understand data more effectively. This tool acted as a prototyping playground, enabling the identification of issues such as motor current oscillations and chain tension problems in industrial ovens. Cognite Data Fusion®, also enables users to create custom advanced diagnostic tools. Using this functionality, MaMaTa built and deployed a low-code data application to perform Fast Fourier Transform calculations to analyze and monitor their equipment performance.
User-Friendly Insights Delivery: MaMaTa built a front-end portal using Cognite Data Fusion’s API and SDK, providing actionable insights to Mecatherm and its customers. The portal presented refined and contextualized data, facilitating quick responses to new customer needs. The seamless integration of data collection, processing, and visualization ensured an agile and responsive solution.
Impact
Implementing Cognite Data Fusion® transformed MaMaTa’s operations and delivered substantial benefits including:
- Enhanced Data Integration: MaMaTa successfully bridged the gap between shop floor knowledge and asset data, creating a unified knowledge graph that linked similar assets and enriched overall understanding. This comprehensive integration enabled more informed decision-making.
- Improved Operational Efficiency: The advanced data modeling and diagnostic capabilities reduced the time and effort required to connect new equipment and analyze data. This efficiency allowed MaMaTa to accelerate its deployment, connecting its first site and making data available in the customer portal within three months.
- Scalable and Agile Solutions: Access to the flexible and powerful platform enabled MaMaTa to quickly adapt to new customer needs and improve their solutions. This agility was crucial in defending their margin in recent contract win and positioning them for future growth.
Additionally, by choosing Cognite Data Fusion®, MaMaTa has implemented a Future-Proof Solution. MaMaTa plans to leverage Cogntie Data Fusion’s Gen AI capabilities to present knowledge in a more natural and intuitive way, dynamically adapting content based on user profiles. This forward-thinking approach will further enhance user experience and decision-making.
By investing in Cognite Data Fusion®, MaMaTa not only overcame their initial challenges but also positioned themselves for continued success and innovation in the industrial sector.