In partnership with
The Rwanda Economy Digitalisation Programme is a six-year digital transformation initiative by the Government of Rwanda, the Mastercard Foundation and Cenfri. The programme works with 71point4 and policymakers to develop evidence-based and inclusive policies to reduce poverty and digitise the Rwandan economy.
For more information on this programme, download the brochure or email either the Director General of Innovation and Emerging Technologies at MINICT at ekunda@minict.gov.rw or Cenfri Rwanda’s Country and Partnerships Policy Lead at Arlette@cenfri.org.
Data in isolation often tells only one part of the story. Sometimes, to gain a full picture, multiple datasets must be combined to incorporate different variables, uncovering insights that drive better decision-making. Merging two or more datasets is a powerful technique that enables organisations to analyse information stored in different
As a Data Scientist, most of my time is spent wrangling data – dealing with inconsistent formatting, unstandardised data collection and unclear documentation (if documentation even exists). The frustration can be immense, that is, until you find a solution to your puzzle. Cenfri’s work in the Rwanda Economy Digitalisation Programme
As outlined in the discussion on developing a data strategy, the journey to becoming a data-driven organisation begins with a clear vision, practical objectives, and strong frameworks. Data governance plays a critical role in this transformation. Whether or not the data strategy has been finalised, the responsibility to protect and
To enhance the use of data for decision-making, it is important to develop not only individual data skills but also institutions that have embarked on a journey to data maturity. This note provides some guidance on the key components of an institutional data strategy and a summary of the core
For the past three decades, Rwanda has had remarkable growth. Between 1999 and 2023, real GDP per capita grew on average 5% per annum. But the aim is even higher: Rwanda’s vision is to become a high-income country by 2050 and to reach this goal it would need to surpass
Rwanda’s journey toward becoming a high-income nation by 2050 is driven by clear strategic frameworks, one of which is the 2nd National Strategy for Transformation (NST2) for 2024–2029. This strategy focuses on five key priorities: creating productive jobs, boosting exports, improving education, reducing malnutrition, and enhancing public service delivery. However,
Our work at Cenfri rarely follows the typical rhythms of the calendar year, yet, as 2024 draws to a close, we thought it would be good to reflect on what we’ve achieved. It’s been a busy few months: we’ve worked on around 50 projects and undertaken work-related travel to 19
Data can be used to improve policy decisions as well as to better understand the outcome of decisions taken. To enable this, policymakers need access to a spectrum of data that has been appropriately collected, cleaned, stored and analysed. And so, in phase 1 of the Rwanda Economy Digitalisation Programme,
Rwanda has set ambitious goals to transition from an agrarian economy to a knowledge-based one by 2050. This is operationalised through initiatives like the Smart Rwanda Master Plan. The dream is to make Rwanda the digital hub of Africa, and a key focus is the digitisation of government services through
Designed for people who want broad exposure to a spectrum of data science and data engineering content, these data training resources are available to those looking to upskill themselves. Background A clear objective of the Rwanda Economy Digitalisation Programme is to strengthen the data skills of individuals and the data
Data in isolation often tells only one part of the story. Sometimes, to gain a full picture, multiple datasets must be combined to incorporate different variables, uncovering insights that drive better decision-making. Merging two or more datasets is a powerful technique that enables organisations to analyse information stored in different
As a Data Scientist, most of my time is spent wrangling data – dealing with inconsistent formatting, unstandardised data collection and unclear documentation (if documentation even exists). The frustration can be immense, that is, until you find a solution to your puzzle. Cenfri’s work in the Rwanda Economy Digitalisation Programme
As outlined in the discussion on developing a data strategy, the journey to becoming a data-driven organisation begins with a clear vision, practical objectives, and strong frameworks. Data governance plays a critical role in this transformation. Whether or not the data strategy has been finalised, the responsibility to protect and
To enhance the use of data for decision-making, it is important to develop not only individual data skills but also institutions that have embarked on a journey to data maturity. This note provides some guidance on the key components of an institutional data strategy and a summary of the core
For the past three decades, Rwanda has had remarkable growth. Between 1999 and 2023, real GDP per capita grew on average 5% per annum. But the aim is even higher: Rwanda’s vision is to become a high-income country by 2050 and to reach this goal it would need to surpass
Rwanda’s journey toward becoming a high-income nation by 2050 is driven by clear strategic frameworks, one of which is the 2nd National Strategy for Transformation (NST2) for 2024–2029. This strategy focuses on five key priorities: creating productive jobs, boosting exports, improving education, reducing malnutrition, and enhancing public service delivery. However,
Our work at Cenfri rarely follows the typical rhythms of the calendar year, yet, as 2024 draws to a close, we thought it would be good to reflect on what we’ve achieved. It’s been a busy few months: we’ve worked on around 50 projects and undertaken work-related travel to 19
Data can be used to improve policy decisions as well as to better understand the outcome of decisions taken. To enable this, policymakers need access to a spectrum of data that has been appropriately collected, cleaned, stored and analysed. And so, in phase 1 of the Rwanda Economy Digitalisation Programme,
Rwanda has set ambitious goals to transition from an agrarian economy to a knowledge-based one by 2050. This is operationalised through initiatives like the Smart Rwanda Master Plan. The dream is to make Rwanda the digital hub of Africa, and a key focus is the digitisation of government services through
Designed for people who want broad exposure to a spectrum of data science and data engineering content, these data training resources are available to those looking to upskill themselves. Background A clear objective of the Rwanda Economy Digitalisation Programme is to strengthen the data skills of individuals and the data
