All talent and workforce processes are limited to basic throughput measures because of siloed functional tools. Analysis relies on anecdotal information, or manual reconciliation, solutions.
Goals and Objectives
The adoption and deployment of analytics can better monitor performance at every point in the workforce process, may include applicant fit and engagement, development progress, team effectiveness, impact of rewards, recognition and wellness programs; and operational metrics to support end-to-end analysis of workforce processes.
This use case is supported by analytics and machine learning capabilities across the HR software stack and intelligent systems of record like HCM and financial management. IT consulting, system integration, and business consulting services are also required.
Use Case Summary
Workforce processes with more modern measures of success and a holistic, cross function view, will be able to link talent acquisition initiatives with strategic organizational objectives, more rapidly adjust development activities, more effectively assign staff to initiatives and have a more engaged and productive workforce.