Description
Solution
SECTION 2
1.4 Data Analysis
To calculate the percentage turnover for each department, I used the formula:
Turnover Percentage= (Total Employees/Leavers) ×100
2020
- Administration: 4/22×100=18.2%
- Maintenance: 5/9×100=55.6%
- Marketing: 0/4×100=0%
- Production: 70/231×100=30.3%
- People Team: 1/6×100=16.7%
- Research & Design: 1/4×100=25%
- Sales: 19/42×100=45.2%
- Packing & Dispatch: 21/36×100=58.3%
- Finance: 2/5×100=40%
2021
- Administration: 8/20×100=40%
- Maintenance: 3/8×100=37.5%
- Marketing: 0/4×100=0%
- Production: 3/2198×100=16.2%
- People Team: 0/6×100=0%
- Research & Design: 0/3×100=0%
- Sales: 3/35×100=8.6%
- Packing & Despatch: 6/15×100=40%
- Finance: 0/4×100=0%
2022
- Administration: 9/20×100=45%
- Maintenance: 3/8×100=37.5%
- Marketing: 1/4×100=25%
- Production: 3/8178×100=21.3%
- People Team: 3/6×100=50%
- Research & Design: 0/4×100=0%
- Sales: 0/40×100=0%
- Packing & Despatch: 8/16×100=50%
- Finance: 0/4×100=0%
2023
- Administration: 2/18×100=11.1%
- Maintenance: 1/7×100=14.3%
- Marketing: 0/4×100=0%
- Production: 29/181×100=16%
- People Team: 2/5×100=40%
- Research & Design: 1/4×100=25%
- Sales: 2/45×100=4.4%
- Packing & Despatch: 3/15×100=20%
- Finance: 0/3×100=0%
To calculate the overall turnover rate for the entire organization each year, we sum the total number of leavers and total employees, then apply the turnover formula:
Overall Turnover Percentage= (Total Employees/Total Leavers) ×100
2020:
- Total employees = 359
- Total leavers = 123
- Turnover: 123359×100=34.3%
2021:
- Total employees = 285
- Total leavers = 52
- Turnover: 52285×100=18.2%
2022:
- Total employees = 275
- Total leavers = 62
- Turnover: 62275×100=22.5%
2023:
- Total employees = 282
- Total leavers = 40
- Turnover: 40282×100=14.2%
Data Presentation
- Bar Graph-The following is the Bar Graph presenting the year-wise Turnover percentages of each department (2020-2023). It has a graphical display of the turnover rates by department making it less time consuming to determine departments with high or little turnover in the previous years.
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Recommendations
- Implement one AI-driven analytics platform by Q4 2024, integrating with existing systems and training staff to enhance forecasting accuracy and negotiate a 10% reduction in supplier costs, led by the IT, procurement, and finance departments. Despite potential initial costs and staff adaptation challenges, this initiative aims to achieve a 15% increase in forecasting accuracy.
- Fully deploy advanced supply chain management software by Q2 2025, partnering with a leading provider and training teams to reduce disruptions by 20%, thus increasing overall supply chain efficiency by 5%. This effort involves collaboration between supply chain management, IT, and vendor management teams, despite initial disruptions and high upfront costs.
- Establish a cross-functional compliance team by Q3 2024 to develop three new policies annually, ensuring 100% compliance with regulations and enhancing reputation metrics by 15%. Led by legal, compliance, and HR departments, this initiative aims to overcome resistance to policy changes and resource-intensive monitoring efforts.
- Implement three financial instruments (futures, options, currency swaps) by Q3 2024, collaborating with financial experts to reduce financial risks by 20% and achieve a 10% increase in financial stability. This effort, led by finance, risk management, and external advisors, addresses potential challenges in market volatility and regulatory constraints.
- Engage multiple suppliers and form five strategic partnerships by Q4 2024, increasing supplier diversity by 30% and improving supply chain reliability metrics by 10%. Led by procurement, vendor management, and supply chain analysts, this initiative aims to mitigate dependency risks and manage supplier relationships effectively. Potential challenges include maintaining consistency in product/service quality across diverse suppliers and increased administrative burden in managing multiple partnerships.
- Conduct market and competitor analyses twice a year starting Q3 2024, aiming to increase procurement cost savings by 15% through better negotiation strategies and timely market insights. This effort, involving procurement, and strategy departments, addresses challenges in data availability and competitive analysis capabilities. Potential challenges include delays in obtaining and analysing market data and difficulty in predicting competitive moves accurately.