Scenario
Your organization is beginning an initiative to be more inclusive both internally and externally. The accounting department has been asked to provide employee data to the employee DEI team and customer data to the financial inclusion team.
Directions
You have been provided with articles to review. Consider what types of information would be found in these articles that would be useful as a starting point. Identify current data in the employee database (payroll data) or in the customer database (sales/accounts receivable data) that would be useful as a starting point. Base this on your thoughts about what type of data you would expect to see in those databases. Discuss how the data would help the project. Take into consideration what other companies have done.
Here is what needs to happen:
· Read the articles in the Supporting Materials section with a focus on DEI.
· Identify data that can be used as a starting point for the DEI project.
· Discuss what the data is, what it means, and how it is DEI relevant.
Specifically, you must address the following rubric criteria:
- Identify data that may have DEI relevance.
- Discuss the merits of the data and what it might mean for the DEI initiative.
Full Answer Section
- Disability Status: This data can help identify accommodations and support needed for employees with disabilities.
2. Compensation Data:
- Salary: Analyzing salary data can reveal potential pay disparities based on gender, race, or other factors.
- Bonus and Incentive Pay: This data can help identify disparities in performance-based rewards.
- Promotion History: Analyzing promotion data can identify barriers to advancement for certain groups of employees.
3. Performance Data:
- Performance Reviews: Reviewing performance reviews can identify any biases in performance evaluations.
- Training and Development: Analyzing training and development opportunities can identify disparities in access to professional development.
Customer Data
1. Demographic Data:
- Race/Ethnicity: This data can help identify disparities in customer satisfaction, product usage, and marketing effectiveness.
- Gender Identity: This data can help identify gender-based differences in customer preferences and needs.
- Age: This data can help identify age-related differences in customer behavior and preferences.
2. Purchase History:
- Analyzing purchase history can identify potential biases in product offerings or marketing campaigns.
- Identifying customer segments based on demographics and purchase behavior can help tailor products and services to specific needs.
How the Data Can Be Used
By analyzing this data, the DEI teams can:
- Identify disparities: Identify disparities in hiring, promotion, compensation, and customer experience.
- Implement targeted interventions: Develop targeted initiatives to address identified disparities.
- Monitor progress: Track progress over time and measure the impact of DEI initiatives.
- Inform decision-making: Use data to make informed decisions about resource allocation, policy development, and strategic planning.
By leveraging data-driven insights, the organization can take meaningful steps to create a more inclusive and equitable workplace and customer experience.