From chaos to clarity: how structured product data creates value for manufacturing companies
The volume of product data in manufacturing companies is steadily growing. From specifications and bill of materials (BOMs) to quality certificates and maintenance documents, every step in the process generates new information. While this data is essential, a lack of organization can lead to inefficiency, errors, and missed opportunities. Managing this flood of information requires a smart and strategic approach.
The risks of unstructured product data
Unstructured data often causes chaos. It makes it difficult for teams to quickly locate the right information, drastically reducing efficiency. Imagine a supply chain employee struggling to find critical supplier information or an engineer unknowingly working with outdated technical specifications. These scenarios not only delay processes but can also result in costly mistakes.
Another challenge is that inefficient data management frequently leads to lost information or duplicate data entry. When data is scattered across various systems or exists in silos, it hinders optimal collaboration. This lack of cross-departmental communication negatively impacts both product quality and project budgets.
Product information and design details are also often stored in outdated formats like PDFs, leading to what is known as "dead data." These static documents are hard to update or integrate into modern workflows.
One more significant risk is the potential loss of critical knowledge. Many companies still rely on employee expertise without properly documenting their processes or insights. When an employee leaves, their valuable knowledge often goes with them, causing delays and increasing costs in future projects.
A path out of chaos
To address these challenges, companies must prioritize structuring and centralizing their data. This means investing in processes, methodologies, and technologies that simplify data management. Focusing on clear communication, efficient version control, and centralized data accessibility can make a significant difference.
For example, imagine implementing a system that organizes all product information in a clear and accessible way. By categorizing key data and making it easily available, companies can save time and avoid costly mistakes. But how can you ensure this approach is effective on the long run? This is where a holistic solution comes into play.
PLM as the answer to data overload
When considering the vast potential of centralized data management, PLM offers more than just clarity—it provides a foundation for strategic growth. PLM systems replace fragmented data storage and duplicate processes with a cohesive platform where everything comes together. With PLM, companies can:
- Avoid data duplication by ensuring designs, documents, and specifications are stored and used only once.
- Improve version control, guaranteeing that teams always work with the most up-to-date information.
- Preserve knowledge by digitalizing calculations, design guidelines, and documentation to ensure it remains accessible, even if critical employees leave.
For example, quality and certification data can be easily stored and tracked within a PLM system. This ensures that this information is readily available for audits or when meeting new regulatory requirements.
Risk management and sustainability with PLM
A PLM system also provides powerful tools for managing risk. By offering real-time data insights, PLM helps with quickly identifying issues—whether it’s defective components, compliance risks, or sudden changes in material costs. For instance, companies can simulate scenarios where environmental regulations shift. What happens to costs and production planning if a critical raw material is found to have a higher carbon footprint? With PLM, these uncertainties can be better mitigated, enabling companies to prepare for future challenges.
Another important benefit is its support for sustainability efforts. PLM systems provide insights that help make products more environmentally friendly, such as through the use of recyclable materials or energy-efficient production methods. They allow companies to monitor and report on these metrics via tools like Digital Product Passports, fostering transparency and traceability. This is another reason why clear and structured data is necessary.
Data as a decision-making engine
Centralized, well-organized data empowers stronger and more precise decision-making. Picture managers posing questions to their product database, supported by AI systems like Copilot. Questions such as "Which components in our products are no longer supported?" or "What is the lead time for design changes?" can be answered immediately. This level of insight is only possible with a well-connected PLM system that integrates seamlessly with ERP and other organizational software.
Turning data chaos into a strategic advantage
Managing product data in manufacturing companies is about more than just reducing complexity—it’s about leveraging data as a strategic asset. By implementing a PLM solution, like PTC WIndchill companies can structure their information, minimize risks, and drive innovation. Whether it’s through better version control, knowledge retention, risk management, or sustainability, the benefits of PLM are undeniable.
Consider how your company currently handles product data. Is there a need for greater clarity and structure? Contact us for tailored advice on how PLM can optimize your processes. Together, we’ll transform data chaos into a strategic force that propels your business to the next level.