Cenfri contributes to building the fundamentals of welfare-enhancing digital economies. We prioritise digital transformation that is inclusive, sustainable, opportunity-creating and has appropriate safeguards. Digital transformation underpins much of our work and ranges from payments digitalisation to digital economy diagnostics, and digital skills assessments to direct digitalisation support.
Cenfri also collaborates with policymakers and other public and private sector stakeholders in data-driven decision-making that is calibrated to the data available and is designed to strengthen the existing skills and data governance processes within these organisations. The Rwanda Economy Digitalisation Programme is our flagship evidence-informed policymaking and data-for-decisions intervention, but we have considerable experience in using evidence to generate insights and inform policymaking and business decision-making with a view to improved economic development outcomes. Our expertise in data, payments and digital identity enables us to contribute to current DPI (digital public infrastructure) conversations.
Traditionally, survey data was collected by fieldworkers trekking across the country, knocking on doors and filling in paper questionnaires. As it sounds, it is possibly the slowest way of collecting data. However, recent advances in technology and data collection methodologies are changing this. More and more organisations are collecting data
More and more financial service providers (FSPs) are looking to data to inform investment decisions, such as “Where should we roll out financial service points?” Increasingly Geospatial (GIS) data is being included amongst the datasets FSPs are using when making decisions to improve the effectiveness of their investments. GIS data
Worried about how to improve your credit score? At least you have one. The harsh reality is that credit bureaus do not have data on the vast majority of the world’s population. According to the World Bank, credit bureaus cover less than a third (30%) of the adult population in
The first GIS-focused community of practice knowledge-sharing session on 26 November 2015 focused on ways to promote maximum usage of geospatial data and financial access maps by the private sector. insight2impact (i2ifacility) was funded by Bill and Melinda Gates Foundation in partnership with Mastercard Foundation. The programme was established and driven by
The i2i data quality team supports Zambia’s Financial Sector Deepening Trust (FSD Zambia) in their efforts to make geospatial data accessible to financial inclusion stakeholders, particularly financial service providers. This process note serves to capture key learnings of the journey to date. Process notes will be updated periodically, with the aim of facilitating learning
The following is a brief from the insight2impact Data Quality team on their work with financial service providers (FSPs) on pioneering innovations in the application of GIS. It aims to provide a brief snapshot into the possibilities that financial access mapping can unlock. This document forms part of a forthcoming
Herman Smit interviews the new lead of insight2impact – Celina Lee.
More and more financial service providers (FSPs) are looking to data to inform investment decisions, such as “Where should we roll out financial service points?” Increasingly Geospatial (GIS) data is being included amongst the datasets FSPs are using when making decisions to improve the effectiveness of their investments. GIS data
The availability of data in financial inclusion has grown tremendously in recent years. Data initiatives such as the World Bank’s Findex, FinMark Trust’s Finscope, IMF’s Financial Access Surveys, AFI’s Core Set, GPFI’s Basic Set, MIX Market’s Finclusion Lab, as well as countless studies driven at a national level, have played a critical role in deepening our understanding
Client insights scoping series: Note 1. Evolution of analytics for business decision-making. This note is based on desktop research on the existing body of knowledge surrounding the use of data and analytics for business decision-making. In addition, the study has been informed by participation in various forums, conferences and lectures, as well as
Traditionally, survey data was collected by fieldworkers trekking across the country, knocking on doors and filling in paper questionnaires. As it sounds, it is possibly the slowest way of collecting data. However, recent advances in technology and data collection methodologies are changing this. More and more organisations are collecting data
More and more financial service providers (FSPs) are looking to data to inform investment decisions, such as “Where should we roll out financial service points?” Increasingly Geospatial (GIS) data is being included amongst the datasets FSPs are using when making decisions to improve the effectiveness of their investments. GIS data
Worried about how to improve your credit score? At least you have one. The harsh reality is that credit bureaus do not have data on the vast majority of the world’s population. According to the World Bank, credit bureaus cover less than a third (30%) of the adult population in
The first GIS-focused community of practice knowledge-sharing session on 26 November 2015 focused on ways to promote maximum usage of geospatial data and financial access maps by the private sector. insight2impact (i2ifacility) was funded by Bill and Melinda Gates Foundation in partnership with Mastercard Foundation. The programme was established and driven by
The i2i data quality team supports Zambia’s Financial Sector Deepening Trust (FSD Zambia) in their efforts to make geospatial data accessible to financial inclusion stakeholders, particularly financial service providers. This process note serves to capture key learnings of the journey to date. Process notes will be updated periodically, with the aim of facilitating learning
The following is a brief from the insight2impact Data Quality team on their work with financial service providers (FSPs) on pioneering innovations in the application of GIS. It aims to provide a brief snapshot into the possibilities that financial access mapping can unlock. This document forms part of a forthcoming
Herman Smit interviews the new lead of insight2impact – Celina Lee.
More and more financial service providers (FSPs) are looking to data to inform investment decisions, such as “Where should we roll out financial service points?” Increasingly Geospatial (GIS) data is being included amongst the datasets FSPs are using when making decisions to improve the effectiveness of their investments. GIS data
The availability of data in financial inclusion has grown tremendously in recent years. Data initiatives such as the World Bank’s Findex, FinMark Trust’s Finscope, IMF’s Financial Access Surveys, AFI’s Core Set, GPFI’s Basic Set, MIX Market’s Finclusion Lab, as well as countless studies driven at a national level, have played a critical role in deepening our understanding
Client insights scoping series: Note 1. Evolution of analytics for business decision-making. This note is based on desktop research on the existing body of knowledge surrounding the use of data and analytics for business decision-making. In addition, the study has been informed by participation in various forums, conferences and lectures, as well as
