Data quality is central to our work and allows us to confidently make data-driven improvements to our programming and stand behind our reported results. We conduct data quality assessments based on five categories: validity, reliability, timeliness, precision, and integrity. Using industry best practices, innovative MEL methodologies, and the latest technology for data collection, management, and analysis, we mobilize large quantities of data for effective management and evidence-based decision making in our development projects. This focus on quality data enables us to track and deliver results for our stakeholders and beneficiaries.
Data Quality and Management.
The Contract Side of CLA
Technical experts share how they have approached the contract side of collaborating, learning, and adapting.
Making CLA Sustainable
How can global development projects and practitioners make CLA sustainable? Our technical experts from around the world share their thoughts.
Getting Buy-In for CLA
How can global development projects get others on board when it comes to the collaborating, learning, and adapting (CLA) approach? Our technical experts from around the world share their thoughts.
Let’s Get Creative: Localized Data Collection for Stronger Project Outcomes
How can the development community become more creative with data collection to navigate complex operating environments and gather accurate, high-quality, consistent data?
News: Innovation, Technology, and Advancing the SDGs at ICT4D 2019
At the 2019 Information and Communications Technology for Development Conference, experts from more than 70 countries convene to share technological innovation and explore the role of technology in global development.
Good, Cheap, Fast – Pick Two
Not every context is right for an off-the-shelf software solution. Just because a product exists, it doesn’t mean the collaboration with a vendor will be successful. Chris Gegenheimer shares a few key factors for success from an implementer’s perspective.
Applying the Principles for Digital Development to Real-World Challenges
The Principles for Digital Development can guide our approach to technology by helping us ask the right questions. Hillary Eason, Ehsanullah Hassani, and Robert Lord-Biggers highlight their application of the principles while tackling an MIS project in Afghanistan.
Who Says Math Isn’t Cool? Applying Mathematical Optimization in Public Health Supply Chains
Health supply chain managers face limited resources and increasing responsibility to ensure the right medicines are in the right place at the right time for patients. Mathematical optimization allows them to make the best decisions possible with limited resources.