data management

The Future of Data Management

In our previous webinar, “Leveraging AI* for built asset Digital Twins – Turning scattered data into strategic assets“, we not only addressed current practices but also cast a vision for the future of data management, particularly in the realm of built asset digital twins. This future is shaped by our ongoing commitment to innovation and […]

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Closing the Information Gaps in BIM: Critical for Industry Success – A Commentary by CIMdata

Buildings, infrastructure, and similar physical assets are designed and constructed by AEC/EPC firms and typically owned and operated (O/O) by other organizations. This leads to a typical data dilemma: too much data that is often not the correct data nor semantically accurate to be usable. Data governance is badly needed, and it requires data alignment.

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Data carve-out best practices: Insights into streamlining data separation for business units

In today’s evolving business landscape, carve-outs have become a standard tool for companies looking to refine their focus and divest non-core assets or units. While carve-outs involve multiple complex processes like legal compliance, HR transition, and financial re-evaluation, effective data management stands out as a critical success factor. This article zeroes in on best practices

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Product life cycle support (PLCS): How ISO 10303-239 enables digital threads

Product life cycle support is the work of keeping products operational, safe, compliant, and cost-effective from early definition through in-service use to retirement. For organisations managing complex, long-life products, success depends on trusted, traceable information that remains usable as the product and its configuration changes over time. This is where the PLCS standard helps, by

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Controlling manufacturing data: A secure collaboration hub for supply chain data management

Key points How to improve supply chain transparency, protect IP, and avoid vendor lock-in. Controlling product data and managing supply chains has become a critical concern for companies in the manufacturing industry. With the increasing complexity of product development and the need to collaborate with various stakeholders, including suppliers and customers, companies must have full

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