Reference no: EM133506873 , Length: word count:1000

Assessment - Analysis plan presentation

Learning outcome 1: Explain the relevance and importance of HR Information Systems for HRM practice.
Learning outcome 2: Analyse HR Information System data to draw meaningful conclusions for HRM.

Assessment overview

Description: You are a new, highly energised and competent employee working within the Human Resources (HR) team of an organisation and have been assigned a business problem to work on. You are required to come up with an analysis plan justifying the use of appropriate data analysis techniques to address the business issue. You will record a video to present your analysis plan to management.

Assessment rationale

In this assessment, you will work on a real business problem like those found in the industry. This requires you to use your professional and analytical knowledge and skills to articulate the problem and propose your analysis plan. Based on your analytical knowledge, you need to justify your proposed analysis plan and the data analysis techniques that you will apply to solve the business problem. You will present your analysis plan and your selected analysis techniques to communicate effectively with management.

Instructions

Referring to the business problem, use your knowledge of data analysis techniques to analyse the problem, identify the issue presented and discuss potential solutions to management via a video presentation with slides.

Prepare your assessment:
• Read the business problem and view the data set (available via the Assessment page in Canvas).
• Consider which data analysis technique(s) covered in Weeks 3-4 can be used to give insight into each metric.
• Identify the analysis techniques appropriate to solve this problem.
• Prepare a justification of why each of your proposed analysis techniques is appropriate.
• Outline what insights each proposed analysis technique will provide to solve the business problem.
• Consider any limitations identified by your chosen data analysis techniques.
• Consider how you might plan to address each issue.
Note: For this assessment, you only need to focus on the data analysis techniques, justification of your chosen techniques and the insights you can get from each analysis technique. You do not need to run the analysis unless you would like to have an experiment with the data. You will use your proposed analysis plan in Assessment 3, for which you need to run the analysis and report your findings to provide solutions and recommendations.

Record your video:
Your video presentation must include:
1. a short introduction to the business problem
2. identification of the data analysis technique(s) you have chosen
3. justification for each of your chosen data analysis technique
4. specific insights you will gain from each analysis technique
5. a presentation of your analysis plan to address the business problem including:
a. insights that the analysis can provide
b. limitations of your analysis (if any)
c. potential solutions derived from your chosen data analysis techniques
d. areas of the problem you think could be explored further.

Assessment - Business case

You are a new, highly energised and competent employee working within the Human Resources (HR) team of Golden Valley. Golden Valley is an 800+ employee, community services, not-for-profit organisation. Golden Valley has been around for more than 30 years, and provides a range of case manage, psychological support and disability care services.

Within the HR team, your brief has been to help transform Golden Valley to approach a more evidence-based management structure in decision-making, particularly in how the workforce is managed.

Prior to the commencement of your employment, Golden Valley conducted an all-of-staff workplace culture survey. The survey deployed items from the COPSOQ workplace psychosocial safety survey tool. The company has provided you access to this survey data, which tracks employee perceptions including:

Golden Valley also has a Human Resource Information System (HRIS), which tracks data annually regarding:
• gender of employee
• total length of employment at Golden Valley (tenure)
• whether employee has left or not (leave status)
• whether employee has been promoted or not
• employee's year of birth
• which division and which team employee works within
• the number of holidays and sick days employee has taken (year to date)
• employee's role
• employee's Performance Appraisal score.

Recently, the senior management of Golden Valley have become concerned about workplace equality, particularly the work experience of female employees, across different age groups, relative to male employees.

The CEO has provided you a copy of the combined survey and HRIS data (in the form of an SPSS datasheet), where employees' demographic data from the HRIS was combined with their survey results.

The CEO is asking you to devise a series of analysis actions (data reports) to give deep insight into the work experiences of female employees at Golden Valley, relative to male employees. Specifically, the CEO wants to have clearer information about females' work experiences against the following metrics:

• Annual salary
• Number of holidays and sick days taken per year
• Work-life conflict and associated levels of stress and burnout
• Experiences of negative acts, including gossip and slander, conflicts and quarrels, cyber bullying and sexual harassment
• Job demands, including emotional and quantitative demands, and role clarity
• Psychosocial support, including leadership quality, management support and collegial support
• Whether female and male staff are performing (performance appraisal) at a proportionately equal rate
• Whether promotions are occurring equally across males and females
• Whether turnover (leave status) is more significant for female employees.

Access data sets

Business case data sets: To work on this business case, access the data files on the Assessments page in Canvas.
Using the data sets

For Assessment 2, the data is for reference only and you will not run any data.

For Assessment 3, you will continue to work on this case and run data using SPSS.