15 Topics
5 Days
51 Sessions
Programme Overview
Training Description
This course is ideal for HR professionals, diversity officers, talent acquisition managers, and people analytics specialists who are responsible for promoting diversity, equity, and inclusion in their organizations. It is also beneficial for senior leaders and decision-makers who are looking to integrate data-driven insights into their DEI strategy. The course is suitable for professionals who are familiar with basic HR analytics and are seeking to advance their skills with specific focus on DEI outcomes..
Session Objectives
- Understand DEI Fundamentals: Gain a comprehensive understanding of the key concepts of diversity, equity, and inclusion, and how they impact organizational culture and performance.
- Leverage DEI Analytics Tools: Learn to use Visier and other leading people analytics tools to collect, analyze, and visualize DEI data, enabling evidence-based decision-making.
- Track and Measure DEI Progress: Develop the skills to establish and track DEI metrics, such as representation, pay equity, and inclusivity, using sophisticated analytics platforms.
- Identify DEI Gaps and Opportunities: Utilize analytics to identify gaps in diversity, equity, and inclusion within the workforce, and create data-driven recommendations for improvement.
About the Course
Diversity, Equity, and Inclusion (DEI) are key components of a successful and progressive workplace. Organizations that embrace DEI principles foster environments that are not only more innovative and productive but also reflective of the diverse society in which they operate. To effectively drive DEI initiatives, HR professionals and managers must leverage data analytics to track, measure, and improve their DEI efforts. This Diversity, Equity & Inclusion (DEI) Analytics with Visier & People Analytics Tools Training Course is designed to equip HR professionals with the skills to utilize advanced analytics tools, such as Visier and other people analytics software, to measure and analyze diversity, equity, and inclusion in the workplace. The course will focus on how to use data-driven insights to improve DEI practices, track progress, and make informed decisions
Curriculum & Topics
15 Topics | 51 Sessions
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Workshop 1.1:
Overview of DEI concepts
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Workshop 1.2:
Importance of DEI in modern organizations
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Workshop 1.3:
Understanding the business case for DEI
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Workshop 1.4:
Key metrics and indicators of DEI success
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Workshop 2.1:
What is people analytics?
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Workshop 2.2:
Overview of people analytics platforms (Visier, etc.)
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Workshop 2.3:
Integrating DEI data into people analytics systems
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Workshop 2.4:
Benefits of using analytics for DEI
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Workshop 3.1:
Defining DEI goals and objectives
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Workshop 3.2:
Establishing DEI success criteria and KPIs
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Workshop 3.3:
Understanding the role of data in shaping DEI strategies
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Workshop 4.1:
Types of data needed for DEI analysis (demographic data, hiring data, etc.)
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Workshop 4.2:
Tools for collecting DEI data
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Workshop 4.3:
Ethical considerations and confidentiality in data collection
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Workshop 4.4:
Addressing bias in data collection
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Workshop 5.1:
Integrating DEI data across various platforms (HRIS, ATS, etc.)
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Workshop 5.2:
Ensuring data accuracy and integrity
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Workshop 5.3:
Cleaning and organizing data for analysis
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Workshop 6.1:
Using Visier to track diversity metrics
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Workshop 6.2:
Measuring workforce representation across departments, roles, and seniority
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Workshop 6.3:
Identifying patterns in diversity gaps and opportunities
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Workshop 6.4:
N/A
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Workshop 7.1:
Measuring and analyzing gender pay gap, racial pay gap, etc.
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Workshop 7.2:
Using data to identify pay equity issues
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Workshop 7.3:
Implementing corrective actions based on findings
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Workshop 8.1:
Using people analytics to measure employee engagement with DEI initiatives
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Workshop 8.2:
Identifying patterns of inclusion and exclusion in the workplace
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Workshop 8.3:
Analyzing retention rates among diverse groups
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Workshop 9.1:
Leveraging analytics tools to detect bias in hiring, promotions, and performance evaluations
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Workshop 9.2:
Addressing unconscious bias through data insights
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Workshop 9.3:
Strategies for mitigating bias in decision-making
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Workshop 10.1:
Using data to identify diverse talent pools
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Workshop 10.2:
Optimizing recruiting strategies for inclusivity
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Workshop 10.3:
Metrics to track the success of inclusive hiring practices
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Workshop 11.1:
Using surveys and feedback tools (e.g., pulse surveys, employee sentiment analysis)
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Workshop 11.2:
Measuring the effectiveness of DEI programs through employee feedback
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Workshop 11.3:
Analyzing results from focus groups and interviews
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Workshop 12.1:
Designing DEI dashboards using Visier and other analytics tools
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Workshop 12.2:
Creating customized reports to track DEI progress
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Workshop 12.3:
Sharing DEI metrics with stakeholders and leadership
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Workshop 13.1:
Translating DEI data into actionable strategies
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Workshop 13.2:
Identifying trends and making proactive decisions
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Workshop 13.3:
Creating long-term DEI strategies based on data analysis
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Workshop 13.4:
N/A
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Workshop 14.1:
Evaluating the success of DEI programs and initiatives
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Workshop 14.2:
Using analytics to assess the return on investment (ROI) of DEI efforts
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Workshop 14.3:
Benchmarking against industry standards and competitors
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Workshop 14.4:
N/A
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Workshop 15.1:
Addressing privacy concerns in DEI data collection and analysis
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Workshop 15.2:
Ensuring compliance with legal and ethical standards (e.g., GDPR)
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Workshop 15.3:
Promoting transparency and trust in DEI analytics efforts
