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Workforce Planning & Analytics

Guide talent acquisition and HR strategies through workforce analysis.

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Overview

Advanced analytics is now being used for predictive modeling to forecast future workforce needs in the mining industry. By analyzing historical data, employee performance metrics, and market trends, mining companies can now anticipate skills shortages, turnover rates and which positions may be combined or eliminated with the use of new technologies and AI. This allows proactive decisions to be made about talent acquisition, training, and development.

With a myriad of workforce management platforms emerging to streamline HR processes, employee records, performance evaluations, training modules, and data analytics tools, more efficient workforce management processes are being created. By identifying the factors influencing employee turnover and job satisfaction within a company, HR strategies can be data-driven to implement targeted retention strategies or improve employee engagement.

Key Client Challenges

How can we accurately forecast workforce demand and anticipate skill shortages to ensure we have the right talent at the right time?

How can we use analytics to identify patterns or trends in workforce performance and productivity, and what actions can we take based on those insights?

What metrics should we track to measure employee engagement, satisfaction, and well-being, and how can we use this data to improve retention and productivity?

How YCP Unison Can Help

Mining companies often have diverse workforces, with various job roles, skill sets, and labor arrangements. Analyzing and optimizing these large sets of employee data can present challenges and may require sophisticated analytical models.

Workforce analytics tools and platforms also need to be integrated with existing HR and operational systems to ensure they are fully utilized. Our YCP Unison experts can work with your team to ensure seamless data flow and synchronization by integrating workforce analytics tools with your existing systems.