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Digital Thread

Product Success

How an End-to-End PLM Approach Drives Product Success

How does expanding PLM beyond engineering to support the digital thread from requirements through commercialization help manufacturers launch quality products that meet regulatory demands and customer expectations? How can companies take an end-to-end PLM approach to drive better new product success?  Join the Meet the Pros: New Solutions & Expert Advice To Help You Achieve…

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  • Webinars

Jim Brown - March 25, 2025 - Filed Under: Webinars, Presentations & Videos - Tagged With: Product Value Management, Platform PLM, PLM, PVM, End-to-End PLM, New Product Development, Product Information Management, NPD, Product Lifecycle Management, PIM, NPDI, Enterprise PLM, Product Commercialization, Digital Thread, Requirements Management

Accurate Service Records

Improve Profitability and Customer Loyalty by Maintaining Accurate Service Records

As highlighted in a Tech-Clarity eBook, “Extending the Digital Thread to the Customer Experience,” manufacturers who maintain accurate, up-to-date, and trusted digital thread data with complete service and maintenance records offer superior customer experience. Additionally, these manufacturers reduce service costs and increase customer confidence by avoiding multiple service visits and fixing issues perfectly the first…

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  • Infographics

Arvind Krishnan - March 6, 2025 - Filed Under: Published Research, Infographics - Tagged With: Field Service, Service Efficiency, OEE, Customer Satisfaction, First Time Fix, Overall Equipment Effectiveness, Machine Quality, Servitization, Accurate Service Records, Maintenance Records, Customer Loyalty, Service Upgrades, Service Lifecycle Management, Service Data, SLM, Design for Service, Service Intelligence, Digital Thread, Serviceability

Industrial System of Engagement

The Business Value of an Industrial System of Engagement

How can manufacturers get more value from the product digital thread data that lies across their systems and data ecosystem? How can they pull together disparate industrial information and put it into action to allow better data-driven insights and collaboration? It’s time to explore digital transformation with an Industrial System of Engagement (SOE).  Please enjoy…

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  • White Papers

Jim Brown - December 11, 2024 - Filed Under: Published Research, White Papers - Tagged With: System of Engagement, SOE, Industrial SOE, Industrial Data Model, Manufacturing Data Model, Federation, Workflow, Synchronization, Collaboration, Collaboration Platform, Platform, Digital Thread, Industrial System of Engagement

Integration Across the Product Digital Thread

Mastering Integration Across the Product Digital Thread

In the latest episode of Stay Sharp with Razorleaf, special guest Jim Brown joins hosts Jonathan Scott and Jen Ferello to discuss Jim’s recent survey findings, which highlight the importance, maturity, and business value of integrating applications and data across the product digital thread. In this jam-packed episode, Jim breaks down how the digital thread…

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  • In the News

Jim Brown - November 15, 2024 - Filed Under: In the News, Insights & Activity - Tagged With: Integration, Digital Thread, Product Digital Thread

Product Digital Thread Integration

Integrating Across the Product Digital Thread

What value does the product digital thread offer manufacturers? How important is integrating data and systems across the digital thread to achieving that value? We set out to better understand the value of product digital thread integration and how top performing companies overcome implementation, operation, and maintenance challenges to achieve it. Did we find the…

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  • Survey Results

Jim Brown - October 16, 2024 - Filed Under: Published Research, Survey Results - Tagged With: Platform, Data Inconsistency, Digital Thread, Duplicate Data, Hub and Spoke, API, Duplicate Data Entry, Operation, Digital Thread Integration, Product Digital Thread Integration, Implementation, Product Digital Thread, Status Quo, Integration, Integration Maturity, Challenges, Integration Scope, Best Practices, Disconnected Data, Maintenance, Data Errors

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