Now reading: Public sector data frameworks

Data and Analytics


The smarter use of data plays a role in all aspects of economic inclusion. Innovative and cost-effective ways to collect, store and analyse data can improve strategic decision-making and enable more client-centric and inclusive product design.

Increasing access and lowering the cost of up-to-date, high-quality traditional and alternative data and can unlock a range of insights to solve challenges.

  • Geospatial data can provide insights on a particular area, such as  financial access points.
  • Analysis of existing transaction data allows tailored financial solutions and new insights on people’s financial behaviour.
  • Machine learning can better assess creditworthiness for clients with no official credit history, and shared client data can open the door to additional services that improve client value.

These developments can enable financial service providers, policymakers and impact investors to optimise the impact of their work through the use of data.

Our work connects decision-makers with the data they need by building on, and showcasing, the existing knowledge base of financial inclusion data and collaborating with a wide range of partners.

Data and Analytics

Public sector data frameworks

If properly catalogued, classified and shared, public sector data can be leveraged to increase access to services, make service delivery more efficient and inform policymaking. Real-time data on traffic and urbanisation can inform urban planning efforts including mobility, energy and water consumption, for example. Combining machine learning techniques with access

Data and Analytics

Data insights in achieving retail growth in Rwanda

The retail and trade (merchant) sector is one of the priority sectors for the Rwanda Economy Digitalisation Programme. The sector and its upstream activities generate significant economic value and provide income for many Rwandans. According to the 2020 Establishment Census, 57.4% of all 232,283 enterprises in Rwanda operated in wholesale

Data and Analytics

Enhancing identity verification for refugees in Uganda

In Uganda, refugees and asylum seekers struggle to cash out their remittances due to challenging and time-consuming identity verification processes. This is one observation from IFAD’s Financing Facility for Remittances Remittance Access Initiative (RAI), which is financed by the European Union and implemented by Cenfri. Our work focused on the

Capacity Building

Training improves ability to unlock value from data

Capacity-development is a vital part of the Rwanda Economy Digitalisation programme and beyond the hosting of training courses, the aim is to cultivate a hub of data professionals in  the Rwandan private and public sectors. These data professionals who interact with, and analyse, data can champion data-driven decision-making and evidence-informed

Data and Analytics

Impamvu dukwiriye gushakira inyito mu Kinyarwanda amwe mu magambo y’ikoranabuhanga

Abamenyereye iby’ ikoranabuhanga cyane bazakubwira ko hari amagambo menshi usanga akoreshwa muri urwo rwego, udapfa gusanga mu kiboneza-mvugo cy’ikinyarwanda. Urugero ni nk’imbaraga za “nucléaire” “data”, “microchips”, n’andi atandukanye. Dufate urugero rw’ijambo ry’Icyongereza ‘Data’, abantu bakunda guhura naryo ahantu henshi hatandukanye. Ubusanzwe rikoreshwa mu gusobanura amakuru dukusanya tukayashyira kuri mudasobwa zacu

Data and Analytics

What is data-driven decision making and what does it mean for Rwanda?

Nothing illustrates the incredible power of data-driven decision-making more than the recent COVID-19 pandemic. Lamenting the disparities in genomic sequencing data from high versus lower-middle income countries, Professor Happi, from the African Centre of Excellence for Genomics of Infectious Diseases in Nigeria, has talked about the pressure they experienced early

The new nexus: digital governance, digital financial services and the SDGs
Data and Analytics

Building a data skills foundation is necessary to achieve meaningful digitalisation

One of the reasons so much emphasis is placed on digitalisation is that people hope digital technology will solve common, but hereto unresolved, challenges. While these digital solutions can be exciting, unless executed properly, there is always the risk of widening the digital divide. To achieve meaningful and sustainable digitalisation

The privatisation of governance
Data and Analytics

Data scientists contribute to data-driven policymaking in Rwanda

The Rwanda Economy Digitalisation Programme aims to support the Government of Rwanda in its vision of building an inclusive digital economy using data-driven policymaking. To support data-driven decision making through capacity building and development activities, Cenfri has welcomed eight data science interns to the team. These interns will spend the

Risks, Harms and Opportunities - How can data and data driven technologies impact financial inclusion efforts in Africa?
Data and Analytics

Risks, harms and opportunities in data-driven technology for financial inclusion

How can data and data-driven technologies impact financial inclusion efforts in Africa? As the region with the most unbanked and underserved citizens, combined with a growing mobile penetration rate and emerging digital identity (DigiID) systems — sub-Saharan Africa (SSA) could prove fertile ground for beneficial data-driven technologies that facilitate digital

Partnership announcement for digital transformation in Rwanda
COVID-19 impact and recovery

Partnership announcement for digital transformation in Rwanda

Kigali, Rwanda, 2 June 2021: Today, the Ministry of ICT and Innovation in Rwanda, Cenfri, and the Mastercard Foundation have signed a tripartite Memorandum of Understanding to kick-off an ambitious three-year digital transformation programme in Rwanda aiming at harnessing Rwanda’s big data to enhance the Government’s digital capabilities and systems. Building