Digital Dual-Cycle Task Management System For Enterprise Operations
개요
발명자
SHING-JUNG KUO
IPC 분류
CPC 분류
The digital dual-cycle task management system for enterprise operations, comprising a process sorting module, a digital remodeling module, and an empowering operation module. The scheme can establish a dual-cycle task management system, taking the strategic goals of enterprises as the starting point, and combining the status of digital operation management of various enterprises to make targeted resource investments and improvements, thereby achieving optimal resource allocation; the scheme employs process mining algorithms to comprehensively sort and optimize business processes, breaks down corporate strategic goals into different business areas to achieve the visualization of sub-goal business processes, thereby enhancing the operational efficiency of enterprises and reducing costs; the scheme utilizes automated analysis to finely manage data generated by process operations, clarifies the behavioral trajectories, waste, inefficiencies, and problem points in different business departments through data support, thereby enabling targeted training and assisting personnel in enhancing their effectiveness.
원문 (중국어)
The digital dual-cycle task management system for enterprise operations, comprising a process sorting module, a digital remodeling module, and an empowering operation module. The scheme can establish a dual-cycle task management system, taking the strategic goals of enterprises as the starting point, and combining the status of digital operation management of various enterprises to make targeted resource investments and improvements, thereby achieving optimal resource allocation; the scheme employs process mining algorithms to comprehensively sort and optimize business processes, breaks down corporate strategic goals into different business areas to achieve the visualization of sub-goal business processes, thereby enhancing the operational efficiency of enterprises and reducing costs; the scheme utilizes automated analysis to finely manage data generated by process operations, clarifies the behavioral trajectories, waste, inefficiencies, and problem points in different business departments through data support, thereby enabling targeted training and assisting personnel in enhancing their effectiveness.