ジェムコ・コーオペレーションズ Product Lineup

In the cybersecurity industry, there is a demand for rapid responses to increasingly complex threats and the optimization of vulnerability management processes that accompany them. In particular, if the effort required for responses becomes a black box and the bottlenecks in lead time remain unclear, it becomes difficult to maintain an efficient security operation system. Our service supports the creation of a system that redesigns effort management not just as a record, but as a KPI directly linked to vulnerability response, enabling the field to autonomously continue improvements. 【Usage Scenarios】 - Analysis of discrepancies between actual effort and completion of vulnerability responses - Identification and resolution of bottlenecks in security operation processes - Comparative verification of response lead times before and after implementing improvement measures - Sharing of know-how between teams through the standardization of successful cases 【Effects of Implementation】 - Visualization of security operation costs through the optimization of effort management - Setting and execution of objective improvement themes based on data - Establishment of a continuous productivity improvement cycle led by the field

In the development of production line control software for manufacturing equipment manufacturers, it is essential to address complex control requirements and optimize the development process. Particularly, when the actual man-hours for implementing diverse control logic become formalized and the development bottlenecks remain unclear, maintaining an efficient development system becomes challenging. This service redesigns man-hour management not merely as a record but as a KPI directly linked to control software development, supporting the establishment of a system that allows the field to autonomously continue improvements. 【Usage Scenarios】 - Analysis of the discrepancy between actual man-hours and deliverables in production line control software development - Identification and resolution of bottlenecks in the development process - Comparative verification of productivity indicators before and after the implementation of improvement measures - Sharing of know-how among teams through the standardization of successful cases 【Effects of Implementation】 - Visualization of project profitability through the optimization of man-hour management - Setting and executing objective improvement themes based on data - Establishment of a continuous productivity improvement cycle led by the field

In the field of simulation tool development, it is essential to maintain strict quality standards in verification coverage analysis while also achieving an efficient development process. Particularly as verification tasks become more complex, if the actual man-hours spent on achieving coverage remain unclear, it becomes difficult to identify bottlenecks, which may impact the maintenance of the development structure. This service redesigns man-hour management not just as a record but as a KPI directly linked to verification coverage analysis, supporting the establishment of a system where the field can autonomously continue to improve. 【Usage Scenarios】 - Analysis of the discrepancy between man-hour results and deliverables in verification coverage analysis - Identification and resolution of bottlenecks in the development process - Comparative verification of productivity indicators before and after the implementation of improvement measures - Sharing of know-how among teams through the standardization of successful cases 【Effects of Implementation】 - Visualization of project profitability through the optimization of man-hour management - Setting and execution of objective improvement themes based on data - Establishment of a continuous productivity improvement cycle led by the field

In the map data provision industry, there is a demand for both accuracy and efficiency in the vast data update pipeline. Particularly, if the actual labor hours in the complex update process become formalized and bottlenecks remain unclear, it becomes difficult to maintain a stable data supply system. Our service supports the creation of a system where labor management is not just a record but is redesigned as a KPI directly linked to update operations, enabling the field to autonomously continue improvements. 【Usage Scenarios】 - Analysis of the discrepancy between labor hours and deliverables in the data update pipeline - Identification and resolution of bottlenecks in the development process - Comparative verification of productivity indicators before and after the implementation of improvement measures - Sharing of know-how between teams through the standardization of successful cases 【Benefits of Implementation】 - Visualization of project profitability through the optimization of labor management - Setting and executing objective improvement themes based on data - Establishment of a continuous productivity improvement cycle led by the field

In the OTA update process of cloud service providers, safe and reliable software delivery to vehicles and the optimization of the accompanying development process are required. In particular, as the frequency of updates and the number of target vehicles increase, the actual work hours needed to meet safety requirements become formalized, and if the bottlenecks remain unclear, it becomes difficult to maintain an efficient development system. This service supports the creation of a mechanism that allows the field to autonomously continue improvements by redesigning work hour management not just as a record, but as a KPI directly linked to the OTA update process. 【Usage Scenarios】 - Analysis of the discrepancy between actual work hours and deliverables in the OTA update process - Identification and resolution of bottlenecks in update development - Comparative verification of productivity indicators before and after the implementation of improvement measures - Sharing of know-how among teams through the standardization of successful cases 【Effects of Implementation】 - Visualization of project profitability through the optimization of work hour management - Setting and execution of objective improvement themes based on data - Establishment of a continuous productivity improvement cycle led by the field

In the autonomous driving software industry, there is a demand for compliance with strict functional safety standards while maintaining a rapid release cycle in agile development. Particularly as the development process becomes more complex, objectively assessing the maturity of agile development and identifying bottlenecks is essential for building a sustainable development framework. Our service redesigns labor management as a KPI directly linked to functional safety compliance, supporting the establishment of a system that allows teams to autonomously continue improvements. 【Usage Scenarios】 - Analysis of discrepancies between labor performance and deliverables in agile development - Identification and resolution of bottlenecks in the development process - Comparative verification of productivity indicators before and after the implementation of improvement measures - Sharing of know-how among teams through the standardization of successful cases 【Benefits of Implementation】 - Visualization of project profitability through the optimization of labor management - Setting and executing objective improvement themes based on data - Establishment of a continuous productivity improvement cycle led by the field

In the software contract development industry, there is a demand for compliance with strict quality standards and ensuring project profitability within limited resources. Particularly in increasingly complex development environments, if labor performance becomes merely a formality and bottlenecks remain unclear, maintaining profitability becomes difficult. Our service redesigns labor management not just as a record but as a KPI directly linked to project profitability, supporting the creation of a system that allows teams to autonomously continue improvements. 【Usage Scenarios】 - Analysis of the discrepancy between labor performance and profitability for each project - Identification and resolution of bottlenecks in the development process - Comparative verification of productivity indicators before and after implementing improvement measures - Sharing of know-how among teams through the standardization of successful cases 【Effects of Implementation】 - Visualization of project profitability through the optimization of labor management - Setting and executing objective improvement themes based on data - Establishment of a continuous productivity improvement cycle led by the field

In the firmware development of the automotive semiconductor industry, compliance with strict functional safety standards and the optimization of the associated development processes are required. Particularly in increasingly complex development environments, if the actual man-hours required to meet safety requirements become mere formalities and bottlenecks remain unclear, it becomes difficult to maintain an efficient development system. This service supports the redesign of man-hour management not just as a record but as a KPI directly linked to functional safety compliance, creating a mechanism that allows the field to autonomously continue improvements. 【Usage Scenarios】 - Analysis of the discrepancy between man-hour results and deliverables in functional safety compliance - Identification and resolution of bottlenecks in the development process - Comparative verification of productivity indicators before and after the implementation of improvement measures - Sharing of know-how between teams through the standardization of successful cases 【Benefits of Implementation】 - Visualization of project profitability through the optimization of man-hour management - Setting and executing objective improvement themes based on data - Establishment of a continuous productivity improvement cycle led by the field

In the field of SaaS development, there is a demand for rapid response to market needs and acceleration of the development cycle. In particular, if the actual labor hours in the development process become formalized and bottlenecks remain unclear, it becomes difficult to shorten the release cycle and improve productivity. Our service supports the creation of a system where labor hour management is not just a record but is redesigned as a KPI directly linked to results, enabling the field to autonomously continue improvements. 【Usage Scenarios】 - Identification and resolution of bottlenecks in the development process - Comparative verification of productivity indicators before and after the implementation of improvement measures - Sharing of know-how between teams through the standardization of successful cases 【Effects of Implementation】 - Visualization of project profitability through the optimization of labor hour management - Setting and execution of objective improvement themes based on data - Establishment of a continuous productivity improvement cycle led by the field