Khin Moet Moet Nyein (Kay)

Data Analyst

Kay is a highly skilled data professional with six years of experience in the field. Kay has a proven track record of collaborating with cross-functional teams and providing technical expertise on data-related issues and has developed regular and customized reports and dashboards that have helped organizations fulfill their data needs.

At Yoma Bank, Kay played a key role in the development and successful launch of SMART Credit in 2018, an unsecured lending solution that utilizes a data-driven credit scoring engine in collaboration with Experian. The project was recognized with the Best Data and Analytics Initiative Program award by The Asian Banker in 2019.

Kay holds a Master's degree in Business Administration from Cardiff University, Cardiff, UK.


By Khin Moet Moet Nyein (Kay)


Building Value in Microfinance Through Digitization: Lessons from Loan Automation Pilots

Digitization has brought both hope and frustration to the microfinance industry. To address this, we identified and tested five core principles for successful implementation. This focus note summarizes our experience, evaluates the validity of the five principles, and offers key lessons learned for other industry stakeholders to adopt and scale a similar approach.

Building Value in Microfinance Through Digitization: A Role for Funders

This note highlights the importance of funders in supporting the digital transformation of microfinance institutions (MFIs). The focus is on business intelligence and credit renewal automation to increase the success rate of MFI digitization. Funders play a crucial role in ensuring that MFIs continue to serve the most excluded and underserved customers in the future.

Is AI Intelligent Enough to Bolster Business Intelligence?

We discuss how business intelligence can be assisted by artificial intelligence today, and where we believe human input remains irreplaceable.

Business Intelligence: A Bedrock of Successful Digitization in Microfinance

Microfinance institutions that successfully generate value for their business and customers through digitization anchor these efforts in business intelligence. This Technical Note outlines an approach for improving business intelligence with interventions that require minimum or no investment in technology. CGAP also offers a customer dashboard library with detailed instructions for data teams and a tutorial video.