Unit: HCM Analytics
Deliverable Length: 400–600 words
Assignment ObjectivesInterpret data analytics and human capital management metrics to conduct trend analysis and predictive planning of workforce productivity and performance
Review the following article from the doctoral library:
Frigo, M. L., Ubelhart, M. C., Eccles, R. G., & Youmans, T. (2015). CFO + CHRO = Power Pair. Strategic Finance, 97(5), 26–33.
Some organizations use retention data or employee satisfaction surveys to assess the effectiveness of human capital management (HCM). Assess the analytics being used in your organization (or your last employer), and complete the following:
In addition to addressing all requirements of the assignments, a model answer includes the following:
HCM analytics that your organization usesBalanced scorecard approachInclude financial data, organizational performance data, and employee survey dataConnect analytics to the effectiveness of the organizationCritique the relationship between the chief financial officer and the chief human resources officer working together on analytics. Discuss how the value of the two working together compared to what they use in their organization.
Unit 4 – Discussion Board 2 due friday before midnight Unit: HCM Analytics
Deliverable Length: 400–600 words
Assignment ObjectivesIdentify human capital management gaps and develop effective planning strategies for workforce demand and supply, forecasting, demographics, and critical skills analysisInterpret data analytics and human capital management metrics to conduct trend analysis and predictive planning of workforce productivity and performance
Complete the following:
Describe 1 analytic used to capture human capital management (HCM) effectiveness.Explain the value and gaps in the use of this analytic.
A model answer addresses all requirements of the assignments. Professor’s expectations include elaboration on the following:
Big data and HCM
Predictive analytics and HCM
Digital innovation and HCM
Role of the software industry in HCM
HCM and metrics
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