Seer Data & Analytics has been accepted as a signatory to the Women’s Empowerment Principles (WEPs), joining a global list of signatories committed to women’s empowerment in the workplace, marketplace and community. Established by UN Global Compact and UN Women, the WEPs are informed by international labour and human rights standards and grounded in the recognition that businesses have a stake in, and a responsibility for, gender equality and women’s empowerment.
As a signatory, Seer is committed to taking action across all seven principles:
- Establish high-level corporate leadership for gender equality
- Treat all women and men fairly at work – respect and support human rights and nondiscrimination
- Ensure the health, safety and well-being of all women and men workers
- Promote education, training and professional development for women
- Implement enterprise development, supply chain and marketing practices that empower women
- Promote equality through community initiatives and advocacy
- Measure and publicly report on progress to achieve gender equality
All businesses stand to benefit from greater equality for women. We invite you to adopt the Women’s Empowerment Principles – joining over 3,000 other business leaders around the world who have done so. Find out more at the Women’s Empowerment Principles website here >>
Watch video: Equality can’t wait.

You can use these Principles to empower women in the workplace, marketplace and community. Subtitled Equality Means Business, the Principles emphasise the business case for corporate action to promote gender equality and women’s empowerment.
Seer Data & Analytics aims to build a culture that is a safe and equitable place to grow for all our people. Our people are highly talented, and our team is diverse. We aim to represent the communities that we serve.
We are committed to helping improve data equity and access, and building data capability for people of all skillsets by offering thought leadership, resources and training to help remove barriers, and bridge the data divide.