How to fail the deployment of a PLM project

Publié par Mathilde Borel il y a 12 months | Data management, News

Every company is confronted to specific issues and needs in terms of technical data management and product lifecycle management. Not only does finding the solution that best suits the company today seems to be an insurmountable challenge, but implementing this solution is also a crucial step for the company’s successful development and productivity. In this article, discover the key points NOT to duplicate in order to successfully deploy a PLM in your company.


1. Not clearly defining the company’s needs and expectations before deploying a PLM solution

The stakes of a PLM project are not the same from one company to another, but the definition of needs is a crucial step for each of them. A 100% turnkey solution does not correspond to a 100% specific need, and vice-versa. To avoid strategic problems, it is essential to understand and characterize the processes, methods and needs of society.

2. Do not define the scope and functions required for each department

As mentioned above, the requirements of companies differ from one another. The same applies to each department of a single company. The person who uses the data is not always the one who enters it. Therefore, it is essential that each department of the company identifies and communicates about their requirements, needs and use of a PLM solution.

3. Not sharing a common vision of the objectives

PLM is a solution in the broadest sense of the term and allows all the services involved in the product life cycle to be interconnected. However, each department has its own expectations regarding the PLM but setting up a decision-making committee would provide a more strategic and global vision of the project. Thus, instead of only partially meeting the individual needs of each department, the chosen solution will meet the needs of the company.

4. Do not prioritize and follow the essential steps for proper use of the tool

Not following the steps for the deployment of a PLM project can quickly become a risk and prevent the implementation of the solution. Once the objectives have been defined and the boundaries defined, it is important to think in successive stages. These would avoid complications and correct any problems as they occur, leading to a proper handling of the tool.

Find the steps to follow when deploying a PLM project in this infographic.

5. Multiply and partition PLM tools

The objective of a PLM solution is to provide a unified and strategic vision of the company’s information, data and processes. Multiplying and locking data management software within a limited scope of a service or a project is the best way to prevent the development of PLM and reduce the benefits it could bring to a company.

6. Automate everything

Yes, PLM speeds up processes and decision-making because it automates tasks with no added value, but not all tasks are without value. It is sometimes useful to maintain flexibility and process control and it is enough to find the right balance between performance and productivity.

7. Do not choose an editor/integrator that listens to your needs

There is no “best” PLM software in the world, but the choice is above all about the solution best adapted to the company’s context and its expectations. The support and change management that the publisher or integrator can provide is one of the elements that makes the difference in the deployment of a PLM project.


With Audros….

From the analysis of needs to the operation of the solution and on-site assistance, PLM Audros specialists support you in every step of the deployment of your PLM project.


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