在当时，公司各专业的实验数据都由自己的部门管理，且处理程序都是不一样的

At that time, the experimental data of each major of the company was managed by its own department, and the processing procedures were different, some were manual, and some were semi-automatic. The management of the experimental data of these majors was rather chaotic. Therefore, in order to improve the safety and traceability of the company's professional experimental data, the company hopes to integrate the post-processing procedures of the professional experimental data and make it as automated as possible. As the interface of the automotive R&D departments and IT departments, I collect and sort out the procedures and automation requirements of various professional experimental data processing, and communicate with the IT department, participate in and formulate the best plan, track the implementation of the IT department's plan, and give them Provide data support for software testing. In the end, the IT department succeeded in making a program example. I organized various professional leaders, showed this example to them, and obtained the recognition of each professional. Finally, the IT department develops and perfects the software in accordance with this plan.

At that time, the company's professional experimental data are managed by their own departments, and the handling procedures are different, some are manual, some are semi-automatic, the management of these professional experimental data is more confusing. Therefore, in order to improve the safety and traceability of the company's professional experimental data, the company wants to integrate the professional experimental data post-processing procedures and make it as automated as possible. As an interface in automotive research and development and IT departments, I collect and organize the procedures and automation needs of various specialized experimental data processing, communicate and negotiate with IT departments, participate in and develop optimal solutions, track the implementation of IT department programs, and provide them with data support for software testing. Eventually the IT department succeeded in making a scenario example, and I organized the professional leaders to show them this example and get recognition from each major. Finally, it follows this scenario to develop and refine the software.

At that time, the experimental data of various specialties of the company were managed by their own departments, and the processing procedures were different. Some were manual, some were semi-automatic, and the management of these professional experimental data was quite chaotic. Therefore, in order to improve the safety and traceability of the experimental data of the company, the company hopes to integrate the post-processing procedures of the experimental data of each specialty and make it as automatic as possible. As the interface between R & D departments and it departments, I collect and sort out the procedures and automation requirements of experimental data processing of various specialties, communicate with IT departments, participate in and formulate the optimal scheme, track the implementation of IT department's scheme, and provide data support for software testing. In the end, they gave a successful example to the IT department and showed them a successful example. Finally, the IT department develops and improves the software according to this plan.