For public sector organizations to control labor costs and improve productivity, support programs and services, and use budget more efficiently, they need to significantly improve how they recruit, train, and manage talent. However, labor and workforce data collected by national and local governments often get trapped in siloed, disparate systems — making it difficult to leverage for making better human resource management (HRM) decisions. In this course, participants will gain a holistic understanding of how public HRM and data analytics intersect. Participants will learn how data value chain should be set up in organizations in order to execute data-driven strategies. Topics to be covered also include HR measurement framework and techniques using data and sophisticated analysis on workforce-related concerns and issues.
What You Will Learn
Upon completion of this course, the learners are expected to:
- create business, project, process improvement or innovation proposals that use public sector HR data as one of the primary resources;
- analyze labor, workforce, or HR data to identify trends and other actionable insights; and
- demonstrate the use of data to make decisions about hiring and talent development, so that participants can position themselves as strategic partners in a public sector organization’s HR management decision.
You will need a computer or laptop with Microsoft Excel installed. Computer or laptop requirements are:
- For Windows: Core i3 or better, 4GB RAM or better, MS Excel 2007 or better
- For MacBook: ideally MS Excel 2013 or newer should be installed (some functions require this version on the Mac). If the version of MS Excel is 2011, download and install StatPlus.