Project Background

Employee onboarding is a crucial step in the lifecycle of any enterprise. However, traditional onboarding processes are often inefficient, especially for companies like Tencent with a large workforce and frequent personnel changes. The recruitment workload is exceptionally heavy, and there are significant challenges in coordinating business across departments. Previously, the recruitment cycle at Tencent lasted up to 7 months, with an overall onboarding rate of only 2.6%.Digital transformation in the field of human resources is an ongoing trend. Infodator's iDiscover process mining optimized Tencent's recruitment process by accurately identifying bottlenecks and pain points. Combined with iBotX, it automated repetitive tasks, creating a closed-loop for issue discovery and resolution.

Project Description

Process Diagnosis:

iDiscover comprehensively obtains event logs from the Human Resources department's IOC system and models them into visualized processes, revealing the actual process that was previously hidden.

Process Monitoring:

By employing consistency techniques to monitor deviations between the actual process and standardized processes, anomalies such as unusually high resume screening volumes or inconsistent recruitment cycles are detected through dashboards. This enables the optimization of processes like resume screening and rework handling, leading to improved recruitment efficiency.

Process Optimization:

In addition to consistency analysis, predictive analysis of processes is conducted to automatically determine the logical behavior of processes. This involves analyzing the differences in workflows that lead to different outcomes, controlling variant numbers, and designing standard models to selectively expand and update existing processes.

Deep Integration with RPA and HAP:

After iDiscover continuously detects process issues, iBot and HAP can provide solutions for problems of varying complexity. Tasks with high repeatability, such as resume screening, can be delegated to robots, ensuring the integrity of the recruitment process. For systemic issues, comprehensive transformation can be carried out using HAP.

Project Results

In just a month and a half of close collaboration, both parties have successfully delivered projects for the group's headquarters and five municipal power supply bureaus. Leveraging the Hyper automation platform has enhanced the overall digitalization level of business operations, while implementing the "One Person, One Machine" strategy has facilitated the transformation of individual work patterns. This comprehensive approach strengthens the governance level of the group, explores solutions to the challenges of "dual highs" and "dual peaks" in the power system, and sets a practical and replicable example for digital demonstration construction in China. By improving operational efficiency and security in the industry, it further promotes the realization of a clean, efficient, and sustainable energy future, supporting the operation and innovative development of various industries such as manufacturing and services.