Building an Industrial Ecosystem : The Power of Open Collaboration with Partners

Collaborate for a stronger industrial ecosystem and shared innovation. Learn how open partnerships are transforming industries and driving sustainable growth.

Building an Industrial Ecosystem and Open Collaboration with Partners

A Tier 1 automotive supplier operating 110 factories globally, wanted to build a data layer to enable seamless participation in industrial ecosystem programs Catena-X. They aimed to share standardised product information with their customers, ensuring compliance with industry-wide standards while maintaining data security. Additionally, they sought to enhance collaboration with partners and customers across the automotive supply chain, providing full traceability and interoperability of product data.

Key Issues
  • Suppliers and customers with varying levels of digital maturity
  • Evolving standards and the lack of enterprise-grade solutions
  • Managing data scale-millions of records within large AAS
  • High data security demands-requiring granular security to protect product IP
Challenges

The supplier faced the challenge of establishing a unified data layer that could operate across their global footprint while supporting diverse machinery, processes, and IT/OT systems. They needed to transform their existing, often siloed, data into a standardised format that could be shared with their customers and partners within the Catena-X ecosystem. Furthermore, they wanted to enable real-time data exchange in a secure and compliant manner, ensuring data privacy and interoperability across different systems.

Solution

IndustryApps offered a comprehensive solution using its DataSpace platform, enabling the automotive supplier to create a standardised digital layer across selected factories. The DataSpace solution provided the following benefits :

The platform also offered an open collaboration model, where the supplier could connect with other members of the Catena-X industrial ecosystem, promoting transparency, supply chain traceability, and real-time product lifecycle management.

Impact

  • Enabled the global product data standardisation, ensuring compliance with Catena-X and other industrial ecosystem standards.
  • Seamless integration of IT/OT systems, enabling efficient real-time data sharing with customers and partners.
  • Enhanced partner collaboration, improved traceability and product transparency across the supply chain.
  • Secure, flexible data sharing with full control over access and data privacy, ensuring that only the necessary product information was shared with relevant Stakeholders.

By leveraging IndustryApps' DataSpace platform, the Tier 1 automotive supplier successfully positioned itself as a leading participant in the industrial ecosystem, ensuring they could meet current and future demands for transparency, traceability, and open collaboration within the automotive supply chain.

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Frequently Asked Questions

What is industrial data management, and why is it important?

Industrial data management involves collecting, integrating, and analysing data from various sources within an industrial environment. It is crucial for enhancing operational efficiency, making informed decisions, and driving innovation through real-time insights and predictive analytics.

Industrial data management involves collecting, integrating, and analysing data from various sources within an industrial environment. It is crucial for enhancing operational efficiency, making informed decisions, and driving innovation through real-time insights and predictive analytics.

How does an AI co-pilot improve industrial operations?

An AI co-pilot provides real-time insights and recommendations, helping operators optimize processes, reduce downtime, and improve productivity by leveraging advanced analytics and machine learning algorithms.

An AI co-pilot provides real-time insights and recommendations, helping operators optimize processes, reduce downtime, and improve productivity by leveraging advanced analytics and machine learning algorithms.

What’s the difference between cloud and on-premise solutions?

Cloud solutions are hosted online, offering flexibility and remote access. On-premise solutions are installed locally on your hardware, providing greater control and security.

 Cloud solutions are hosted online, offering flexibility and remote access. On-premise solutions are installed locally on your hardware, providing greater control and security.

How secure is your industrial automation software?

Our software includes robust security measures such as data encryption, regular updates, and compliance with industry standards to protect your data.

 Our software includes robust security measures such as data encryption, regular updates, and compliance with industry standards to protect your data.

Can your software integrate with my current systems?

Yes, our solutions are designed for seamless integration with ERP, MES, IIOT, and other IT systems, ensuring smooth operation across all platforms.

 Yes, our solutions are designed for seamless integration with ERP, MES, IIOT, and other IT systems, ensuring smooth operation across all platforms.

How long does it take to implement your solutions?

Implementation times vary based on the project’s complexity, but our streamlined process ensures you’re up and running quickly, minimizing downtime and disruption.

 Implementation times vary based on the project’s complexity, but our streamlined process ensures you’re up and running quickly, minimizing downtime and disruption.

What benefits does AI-supported data mapping provide?

AI-supported data mapping ensures consistency and accuracy across all data sources, enhancing data quality and facilitating advanced analytics and AI applications.

AI-supported data mapping ensures consistency and accuracy across all data sources, enhancing data quality and facilitating advanced analytics and AI applications.

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