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Successful operation within many organizations often depends on bringing together people, processes and tools. When making changes in a business, it is important to take precautions that can keep existing workflows running smoothly. By understanding the potential risks and ways to help address them, organizations can make informed decisions and navigate the transition to cloud-based product lifecycle management (PLM).
Based on our experience helping clients transition to cloud PLM platforms, we recommend four industry leading practices that can help cover process, data, technology and organizational change:
We suggest companies take a holistic approach when evaluating processes for effective product development and management. Partial evaluations may lead to missed enhancement opportunities, limited views of process efficiency and hinder detection and resolution of bottlenecks and redundancies across the product lifecycle. Use multiple lenses like data, effort, pain points and legacy systems to prioritize critical processes for improvement. Leverage the following lessons learned to assist you in the process assessment:
PLM data is a crucial component of the value chain. Understanding the impacts of data model transformations is important. Challenges can arise from a disjointed product data approach. Suggestions we have so you can avoid these challenges include:
Selecting the right PLM technology can be critical in a landscape with multiple vendors. When assessing technology options, consider the following factors:
Oracle is a leading choice for companies looking to move their product lifecycle management to cloud. Oracle's PLM tool has a proven track record and is widely recognized in the field. It can offer seamless integration with supply chain management and manufacturing, helping to break down traditional barriers and providing a connected approach. This next-generation PLM solution can go beyond manufacturing, extending throughout the product’s lifecycle with features like quality, IoT, predictive analytics and ML/AI integration.
To help enable successful enterprise-wide changes, stakeholders should have shared objectives. Here are recommendations to help mitigate challenges during this stage of the project:
The shift to cloud-based PLM for supply chain management can offer significant advantages that companies should carefully consider. Older PLM solutions may have limitations in delivering the speed required for digital transformation, while a cloud-based, connected applications platform promotes collaboration and data integration for innovation. To help increase the likelihood of success, it is important to evaluate processes, assess data and technology and manage the organization holistically. By addressing these areas, companies can help mitigate risks and maximize the return on investment.
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