Within the PLM setting, "project" mainly refers to product development and introduction endeavors. Common methodologies such as integrated product development (IPD), Product And Cycle-time Excellence® (PACE®), and Stage-Gate® have been developed to manage innovation processes and to facilitate project collaboration. The purposes of applying analytics to project-related data are to improve product development processes and to achieve the best project output.
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Project portfolio management: Project portfolio management adds discipline and structure to determining which product innovations should be pursued. While product portfolio management functionality focuses on the best assortment of products, project portfolio management functionality deals with project risks and returns in order to achieve the best combination of product innovation efforts.
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Project performance measurement: Besides helping people make "go" or "no-go" project decisions, analytics can also help evaluate projects that are in progress. Project completion status, resource usage, and cost allocation are some possible areas that project performance measurement can cover. Based on these analytics, project managers will be better equipped in making sound decisions.
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Project task measurement: Project managers can allow for finer granularity of the task (or activity) level within a project and evaluate task performance, whether it is related to a team, a role, an individual, or a lab resource. By doing so, productivity patterns can be revealed so project managers will be able to assign the most appropriate resources to a certain development task.
1.
Project portfolio management: Project portfolio management adds discipline and structure to determining which product innovations should be pursued. While product portfolio management functionality focuses on the best assortment of products, project portfolio management functionality deals with project risks and returns in order to achieve the best combination of product innovation efforts.
2.
Project performance measurement: Besides helping people make "go" or "no-go" project decisions, analytics can also help evaluate projects that are in progress. Project completion status, resource usage, and cost allocation are some possible areas that project performance measurement can cover. Based on these analytics, project managers will be better equipped in making sound decisions.
3.
Project task measurement: Project managers can allow for finer granularity of the task (or activity) level within a project and evaluate task performance, whether it is related to a team, a role, an individual, or a lab resource. By doing so, productivity patterns can be revealed so project managers will be able to assign the most appropriate resources to a certain development task.
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