Since last week, I have begun structuring assignment four. Fortunately, feedback was received for assignment two (Project Proposal and Plan) midway through this week, which has significantly helped shape the direction of the final research project and its results. The feedback received encouraged using open-use datasets from sites such as Kaggle and AIHR to test the application of machine learning for workforce planning. I believe these datasets meet the minimum requirements to develop a basic machine-learning model to test various workforce planning variables. However, I do expect to encounter issues with the potential lack of demand and supply drivers from these datasets to help influence the machine learning models. For example, without knowing the required staffing rates for certain roles or other business-specific factors such as customer-to-staff ratios, the model will effectively assess the intersection between recruitment and turnover as a proxy for “Workforce planning”. Additional literature reviews will be conducted to source content discussing workforce planning drivers and detractors, which will be included in the final report.
Over the next week, I will finalise sourcing datasets to train and develop and machine-learning model. Then I will begin structuring the final results in the assignment four report.
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