Gender Disaggregated Data in Financial Inclusion Training Course

 Gender Disaggregated Data in Financial Inclusion Training Course 

Introduction
Gender Disaggregated Data in Financial Inclusion Training Course equips participants with the knowledge and practical skills to collect, analyze, and utilize gender-specific data to enhance financial inclusion programs. Understanding gender disparities is critical for designing targeted interventions, measuring equitable access, and improving financial outcomes for underserved populations. This course provides participants with tools to incorporate gender perspectives into data systems, ensuring that financial inclusion initiatives are inclusive, responsive, and impactful. 

Through hands-on exercises, case studies, and best-practice frameworks, participants learn how to develop gender-sensitive indicators, create disaggregated dashboards, and report findings to stakeholders. The course emphasizes data-driven decision-making, gender analysis, and monitoring frameworks that allow institutions to track progress, identify gaps, and implement effective strategies to achieve gender equity in financial services. 

Course Objectives 

1. Understand the importance of gender-disaggregated data in financial inclusion programs
2. Develop skills to collect and manage gender-specific data
3. Strengthen capacity to analyze gender disparities in financial access and usage
4. Design gender-sensitive indicators and KPIs
5. Apply gender analysis to digital financial services programs
6. Integrate gender data into dashboards and reporting tools
7. Enhance monitoring and evaluation systems for gender outcomes
8. Improve reporting to donors and stakeholders on gender equity
9. Build strategies for addressing gender gaps in financial inclusion
10. Use gender data for program design and policy development
11. Enhance organizational capacity for gender-responsive decision-making
12. Support compliance with gender-related reporting standards
13. Gain practical experience in presenting gender-disaggregated data

Organizational Benefits
 

• Improved gender-responsive program design
• Stronger donor and stakeholder confidence
• Enhanced monitoring of gender outcomes
• Better alignment with gender equity goals
• Improved data quality and credibility
• Identification of gender gaps and opportunities
• Evidence-based decision-making
• Greater accountability and transparency
• Enhanced reporting capacity
• Strengthened organizational capacity for inclusive programs

Target Audiences
 

• M&E officers
• Data analysts
• Financial inclusion program managers
• Digital finance teams
• Microfinance institution staff
• NGO project coordinators
• Donor program officers
• Policy and regulatory staff

Course Duration: 10 days

Course Modules

Module 1: Introduction to Gender-Disaggregated Data
 

• Understanding gender-disaggregated data concepts
• Importance of gender data in financial inclusion
• Key principles for gender-sensitive data collection
• Linking gender data to program objectives
• Addressing gender gaps in financial services
• Case Study: Gender data analysis in rural microfinance programs

Module 2: Gender Analysis in Financial Inclusion Programs
 

• Identifying gender barriers in access and usage
• Analyzing gender-specific client behavior
• Assessing gender impact on program outcomes
• Tools for gender analysis
• Integrating gender insights into decision-making
• Case Study: Women’s financial behavior analysis in digital finance

Module 3: Designing Gender-Sensitive Indicators
 

• Selecting relevant gender indicators
• Linking indicators to program objectives
• Measuring access, usage, and outcomes
• Developing KPIs for gender inclusion
• Aligning indicators with donor requirements
• Case Study: Gender KPI development for savings programs

Module 4: Data Collection Methods for Gender Disaggregation
 

• Quantitative data collection techniques
• Qualitative data collection techniques
• Surveys, focus groups, and interviews
• Mobile and digital data collection tools
• Ensuring accuracy and reliability
• Case Study: Field data collection for gender impact in microcredit

Module 5: Data Cleaning, Validation, and Quality Assurance
 

• Cleaning gender-disaggregated data
• Validation methods for accuracy
• Data verification processes
• Managing missing or inconsistent data
• Ensuring credibility and reliability
• Case Study: Data validation for women’s microenterprise programs

Module 6: Dashboard Development for Gender Data
 

• Designing gender-disaggregated dashboards
• Selecting relevant visualization formats
• Linking dashboards to program KPIs
• Real-time monitoring of gender indicators
• Customizing dashboards for stakeholders
• Case Study: Gender dashboard for DFS adoption programs

Module 7: Quantitative Analysis of Gender Data
 

• Statistical methods for gender analysis
• Trend identification and interpretation
• Comparing gender performance across programs
• Visualizing quantitative gender data
• Reporting insights to management
• Case Study: Quantitative gender analysis for microinsurance programs

Module 8: Qualitative Insights for Gender Outcomes
 

• Coding qualitative data for gender analysis
• Using narratives to explain gender trends
• Integrating qualitative and quantitative data
• Addressing intersectional issues
• Reporting gender outcomes effectively
• Case Study: Qualitative insights in women-focused lending programs

Module 9: Gender Data Reporting to Donors
 

• Structuring donor reports with gender data
• Highlighting gender achievements and challenges
• Compliance with donor standards
• Presenting gender impact effectively
• Using gender data to support funding requests
• Case Study: Gender reporting for a regional microfinance donor program

Module 10: Monitoring Gender Equity Progress
 

• Tracking outcomes by gender
• Measuring improvements in access and usage
• Using dashboards for ongoing monitoring
• Identifying areas requiring intervention
• Feedback mechanisms for program adjustment
• Case Study: Monitoring gender equity in agent network programs

Module 11: Linking Gender Data to Program Impact
 

• Evaluating program contributions to gender equality
• Attribution and outcome analysis
• Reporting long-term impact
• Using gender data to inform strategy
• Communicating results to stakeholders
• Case Study: Gender impact assessment for digital credit programs

Module 12: Integrating Gender Data into M&E Systems
 

• Embedding gender metrics into monitoring frameworks
• Ensuring consistency and standardization
• Automating gender reporting
• Strengthening internal capacity for gender M&E
• Data-driven learning and adaptation
• Case Study: Gender integration in MFI M&E systems

Module 13: Advanced Gender Analytics for Financial Inclusion
 

• Predictive analysis for gender outcomes
• Identifying trends and gaps
• Benchmarking performance by gender
• Scenario analysis for policy decisions
• Leveraging analytics for interventions
• Case Study: Advanced gender analytics in digital finance adoption

Module 14: Stakeholder Engagement and Gender Data
 

• Using gender data to engage stakeholders
• Reporting results to clients, staff, and donors
• Encouraging gender-responsive decision-making
• Feedback collection for improvement
• Communicating gender value creation
• Case Study: Stakeholder engagement using gender dashboards

Module 15: Practical Exercise: Developing Gender-Disaggregated Data System
 

• Designing a complete gender data system
• Integrating dashboards, KPIs, and reporting
• Peer review and feedback
• Implementation planning
• Presentation of final models
• Case Study: Participants design a gender-disaggregated data system for a microfinance program

Training Methodology
 

• Interactive presentations and discussions
• Practical data collection and dashboard exercises
• Group case study analysis
• Peer review and feedback sessions
• Hands-on development of gender-disaggregated data systems
• Workshops for KPI and dashboard creation

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104

Certification                                               

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes             

a. The participant must be conversant with English.
 
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
 
c. Course duration is flexible and the contents can be modified to fit any number of days.
 
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
 
e. One-year post-training support Consultation and Coaching provided after the course.
 f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.