Turn Fragmented Data into Digital Continuity
Products move through engineering, manufacturing, service and real-world use through their lifecycle; however, their information often remains spread across different systems, functions and organizations. Requirements may sit apart from design. Engineering changes may lose context as they move into manufacturing. Field issues may take too long to reach the teams developing the next product release.
At HCLTech Engineering and R&D services, we help clients create Digital Threads that connect product, process and operational information across the lifecycle. We bring together the processes, systems, data and relationships needed to understand what changed, why it changed and what that change affects. The result is digital continuity that helps teams make better decisions with connected data and the context behind it.
- Visibility: Access relevant information across functions and the value chain through reports, dashboards, analytics and connected user experiences
- Traceability: Navigate relationships across requirements, models, product structures, manufacturing information, tests, changes and service records
- Context: Understand the conditions, configurations and events behind a decision so teams can assess its impact more accurately
Connect the Lifecycle. Improve the Decision.
Start with one high-value thread and build digital continuity around your priorities.
What’s Next in Digital Continuity
AI-augmented digital threads connect engineering and enterprise data to improve visibility, accelerate decision-making and optimize the development of software-defined products
This paper offers actionable insights for systems engineers, PLM specialists, digital‑engineering leaders and program managers seeking to unify their MBSE and PLM workflows.
Frequently Asked Questions
A digital thread connects product, process and operational information across lifecycle activities. It preserves relationships and context so teams can navigate information across engineering, manufacturing, service and product experience.
No. We recommend defining the big-picture vision while starting with a focused thread that solves a clear business problem. Clients can then expand successful threads across more domains and products.
Digital Thread can span systems across requirements management, MBSE, PLM, ALM, CAD, simulation, manufacturing, MES, ERP, service, IoT and connected-product environments.
Digital Thread creates connected, contextual and curated lifecycle data. This gives analytics and AI stronger information for identifying relationships, analyzing impact and supporting lifecycle decisions.
Digital Thread value centers on visibility, traceability and context. These capabilities help teams find relevant information, understand relationships and assess the conditions behind product and process decisions.
Not necessarily. We assess the existing environment first. Depending on the use case, we may consolidate, integrate, federate or provide search-based access across existing applications.
We assess how each application creates and consumes information, the level of functional mapping required and how often the data is needed. We then select the connection pattern that fits the use case.
We begin with an assessment of business objectives, priority use cases, participating functions, systems, data flows and current Digital Thread breakages. We then define the target model and implementation roadmap.