Provide recommendations on hr policy

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Reference no: EM133784249

Data Metrics, Reporting and Analytics

Assessment - HR Policy Recommendation Project

ASSESSMENT DESCRIPTION

The HR Policy Recommendation Project is an extension of Assignment 2 and will be undertaken individually.

The purpose of this assignment is for students to apply their predictive analytic skills and improve their ability to develop evidence-based recommendations to address management concerns in HR process and organisational design.

The Project needs to propose possible correlations between each of the business outcome metrics (dependent variables) and other metrics (independent variables) you have chosen in Assignment 2, test these relationships using predictive analytics techniques (regression), and provide recommendations on actions the organisation should take in order to improve staffing practices and subsequent employee/organisational outcomes. In writing up the Project, you are advised to refer to what are discussed in the seminar on Predictive Analytics in Action- and relevant chapters of the textbooks, and apply predictive analytics methods (regression) to justify your policy recommendations.

The Project should be 2.000 words in length (plus or minus 10%), excluding cover page, reference list and appendix (you must include the original regression output in the appendix). If you need to use Charts/Tables/Dashboard already presented in Assignment 2. please put them in the appendix. You need to submit the Project in Microsoft Word format via LMS. An assignment cover sheet must be attached to the assignment.

The Project should include the following:

1) Introduction: briefly highlight the focus of the project

2) Develop a conceptual framework to describe the key metrics and propose possible causal relationships between chosen metrics, and then derive hypotheses accordingly.

3) Specify the regression model based on the conceptual framework and hypotheses, and present the model in a diagram.

4) Analyse relationship between key HR metrics using predictive analytics methods. This part should include both a correlation and a regression analysis. Interpret the key findings of the correlation analysis and regression analysis. The original correlation matrix and regression output must be attached in their full format as an appendix.

5) Provide recommendations on HR policy to enhance employee and organisational outcomes in relation to analytic findings.

6) Conclusion: a short summary of the key findings and recommendations of the project.

GUIDELINES for SUCCESS
To do well in this assignment, you need to work independently on the basis of the team-based Assignment 2, apply regression method to analyse possible correlations between the chosen metncs. and make HR policy recommendations based on the regression results and relevant academic sources.

Reference no: EM133784249

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