Calls for Applications

Call for EoI: Data Analytics for Gender Smart Product Development in Myanmar

  • October 22, 2019

  • Calls for Applications

Summary

Building on the existing work of the financial service providers, UNCDF in collaboration with other partners such as FMO, KIT, Columbia University, FinEquity CGAP aims to further refine the customer value propositions for female clients. The project takes a gender-smart product development approach that goes beyond a focus on ‘access to finance’ to addressing the gender inequalities that impede unprivileged women enterprises from accessing, controlling and using capital for improving their livelihoods. The project will build capacities for financial service providers with technical assistance and data analytics training for gender smart product development.

Overall, the project aims to accelerate women’s financial inclusion in Myanmar by providing training, technical and data collection support to FSPs. Such trainings can be tailored to the individual needs of the FSP.

Launch of Call for Expressions of Interest: 9 October 2019

Applications Due: 31 October 2019

(Updated on the 21 October 2019)

Click here to complete your Application Form

More details about the Call:

During the first phase UNCDF can offer some of the following support to FSPs:

  1. Conduct data analytics training to support gender smart product development for example in customer targeting and retention, savings mobilization and/or financial literacy.

  2. Support with gender self-assessment and data mapping within the FSP.

  3. Make available Myanmar’s market demand-side data for product development, market expansion, and business operations.

  4. Fund and implement additional customer data collection including lean data surveys, focus groups and in-depth interviews, in combination with MIS data to better understand needs and behavior of specific female customer segments.

  5. Develop Excel and Tableau dashboards to track long-term financial usage patterns of customers and instantly disaggregate data by gender, age, province, marital status, occupation, financial products and other demographic and geographic indicators.

  6. Gain better insights into Myanmar’s financial inclusion. Identify barriers to women’s access and usage of financial services and develop business opportunities and target expansion areas for gender-sensitive products.

Based on the pilot idea, during the second phase, FSPs could pilot a new product innovation and receive the following support:

  1. Technical and training support to financial service providers (FSP) to pilot, analyse, and scale gender smart product development and delivery.

  2. Examine and overlay customer-level (transactions) and national financial inclusion surveys data to analyse the access and usage of financial products and services and disaggregate data by gender-, age-, province- and other demographic- and geographic variables.

  3. Develop partnerships with research institutions, women entrepreneurship organisations, and data analytics providers to further work on gender smart product development.

  4. Improve the use of financial products by developing and piloting financial literacy toolkits.

  5. Introduce staff to Fintech and Big data analysis techniques using test and learn design, predictive analytics, interactive dashboards and human-centric design software.

  6. Support in data management - from data collection, feeding, extraction to analysis- to chart out a strategy for embedding additional gender-equality indicators in the existing MIS.

Eligibility Criteria
Financial service providers (including banks, MFIs and others) requirement for data analytics training include:

Commitment to empowering low-income female customers by providing affordable financial products and services.

Has a portfolio of 10,000 or more active customers.

A preference is given to MFIs (who plan to) operate in the remote states of Kayah, Kayin, Kachin, Mon and Northern Shan.

Seeking to use customer data for innovating and offering gender-centric products and delivery channels to low income clients, especially in rural remote areas.

Willingness to share anonymized customer and/or transactional-level data for wider financial inclusion research

Research, marketing, SPM, or product development focal person or team in place.

Commitment to the project in terms of allowing staff from various departments including marketing, product development and social outcomes to participate in the training.

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