Human Capital

The human capital model analyzes data about company employees to provide insight into: Diversity, Equity, and Inclusion; Retention and Turnover; Pay Equity; Living Wage; Benefit Eligibility and Participation. We take a look at your organization’s workforce to generate powerful reports that will provide useful information and understanding of various social measures that can include key insights to workforce composition, upward mobility, and Diversity, Equity, and Inclusion efforts. We will contextualize this data in the locations where people live and work to better understand employee experience. Insights gained are around organizational culture, efficiency, and overall sustainability within the workforce itself.

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About the model

Looking at the workforce through the lens of Environmental, Social, and Governance (ESG) principles is becoming increasingly vital for investors, as it aligns with growing global awareness of ethical business practices and sustainable growth. Analyzing the workforce in terms of ESG factors can help in de-risking investments, making them more attractive acquisitions, and potentially leading to more profitability. Here's why, and what specific data points an investor might consider:

1. Environmental (E):

While this aspect is more commonly associated with a company's environmental impact, it can also relate to the workforce in terms of employee involvement in sustainability efforts, and the alignment of human resource policies with environmental goals.

Data Points to Consider:

  • Employee participation in sustainability initiatives.
  • Workforce training and education on environmental practices.
  • Remote work policies to reduce commuting and carbon footprint.

2. Social (S):

The social aspect focuses on the company's relationship with its employees and the wider community. A strong social standing can enhance a company's reputation, attract talent, and foster loyalty, making it a more attractive investment.

Data Points to Consider:

  • Diversity, Equity, and Inclusion: Metrics on gender, ethnicity, and other diversity factors across different levels.
  • Retention and Turnover Rates: Understanding why employees stay or leave can highlight underlying issues.
  • Living Wage and Pay Equity: Ensuring fair compensation for all employees.
  • Employee Health and Well-being: Data on benefits, mental health support, work-life balance, etc.
  • Community Engagement: Employee involvement in community and charitable activities.

3. Governance (G):

Good governance relates to how a company is run, including its leadership structure, executive pay, internal controls, and policies. It can indicate how well a company is likely to perform in the long term.

Data Points to Consider:

  • Leadership Diversity: Diversity within the board and leadership team.
  • Executive Compensation: Alignment of executive pay with company performance and industry norms.
  • Ethical Conduct and Compliance: Policies relating to ethical conduct, whistleblowing, and adherence to laws and regulations.
  • Employee Feedback Mechanisms: Channels for employees to voice concerns and contribute to decision-making.

Why Look at the Workforce Through ESG?

  • De-Risking Investments: Understanding ESG factors helps identify potential social and governance risks, such as non-compliance with labor laws or potential reputational damage, allowing investors to mitigate these risks proactively.
  • Attracting Acquisitions: Companies with strong ESG profiles may be more attractive to investors, as they often align with modern ethical standards and are seen as more sustainable in the long run.
  • Increasing Profitability: Engaged and well-treated employees tend to be more productive, while good governance practices can lead to more efficient operations.

In conclusion, examining a company's workforce through an ESG lens provides a multifaceted view that goes beyond traditional financial metrics. It offers insights into the company's ethical stance, operational efficiency, and long-term sustainability, all of which are increasingly important in today's investment landscape.

Data in Context

What are we talking about when we're talking about Benchmarking? Let's be careful when we throw that word around.

All of our models are customizable.

Define your own requirements
Add you own measures
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