Over the years, the expansion of simulation as part of products' development, validation and certification process, has resulted in an increase in the generation of simulation data and the need to retain access to it. This led to the need to appropriately manage the simulation data, matching it with the input data that is consumed to produce it, storing it intelligently in order to reduce storage volume and allowing and easy accessibility and data reuse. Today many companies are seeing the need to take a step in this direction to implement a Simulation Process and Data Management systems, in some cases combining a drastic cultural change with a new solution, within a relatively short time. Forcing the adoption of new process with the use of new IT tools leads to poor adoption, and premature failure. In our experience, developing a comprehensive Simulation Process and Data Management is a multiyear project, depending on the size of the company, the number of users, disciplines and tools used, among others. It must be done in incremental stages, where at the end of each stage, end-users can begin to experience the benefits of the implementation and work collaboratively on the development of the following iterations with their constructive feedback. The first step in the roadmap is to prioritize what brings value to the business, and getting data under control. Consideration should be taken to be able to gain End-Users buy-in for a long term project. In this presentation we will focus on the following topics: - The SPDM Journey. ‘Winning Now, Winning Later’, and how to balance First steps while having a long-term vision - Quick-start Pilot: - Developing a data-centric approach to capture data - From business requirement gathering to deploying a data-centric working solution in 90 days - Organizational Change Management, and how to focus on a very specific population to gain adoption around SPDM - Year One Release: - ‘Light’ integration to ensure data consistency across enterprise systems - Promoting Data reuse - Starting with SPDM key Processes - Transformation in the company to ensure Simulation Process integrated within the global engineering process - Long-Term Vision - Full Integration to enterprise systems - Optimization & process automation - Ability to validate product by simulation - Data Retention As a result, we will define a generic roadmap for a comprehensive SPDM system deployment, and deep dive into three steps: Short, Medium and Long Term goals.