Data Standards & Analytics
Committed to ethics and transparency, we approach data with integrity, refine methods and measurements to ensure robust analysis and preserve the (human) narratives behind the numbers.
In this age of digital transformation, we understand that data is more than just figures on a spreadsheet; it's a narrative waiting to be told. At the heart of Samuel Hall's extensive fieldwork lies our Data Standards and Analytics pillar. Pioneering innovative approaches to field data collection, analysis, and interpretation, we leverage over a decade's worth of insights, ranging from Afghanistan to the MENA region, from East to West Africa. We employ advanced sampling methodologies, indices, statistical models, and predictive analytics. We strive wherever possible to collaborate in and contribute to the creation of global standards and best practices in the hope of informing spirited and rigorous policy debate.
Our Data Standards & Analytics Pillar is committed to:
1.Strengthening data systems and standards.
2.Enhancing safe and responsible data access.
3.Leading large-scale, comparative quantitative surveys.
4.Employing innovative data collection and analysis techniques.
We care about common standards and open access to data and tools. We are engaged in discussions with partners throughout the world to create a library of standard question sets, measuring well-established indicators and performing advanced analyses, open to the scrutiny of all.
We pioneer standards for robust field data collection and analysis with the collaboration of our research operations teams and through our quality control protocols.
Our Products:
Statistical Analysis Report
Forecast and Modelling Report
Dashboard for visually tracking, analysing, and
displaying key indicators or metrics real-time to fosters data-driven decision-making,Cross-pillar methodological and analysis note support
Thematic Expertise:
We pride ourselves on our innovative expertise in:
Analytics
Large dataset & longitudinal analysis (basic and advanced)
Building dashboards
Mapping through GIS
Developing statistical models, indices, metrics and predictive analytics
Data standards
Advanced sampling methodologies, incl. stratified, cluster-sampling, and reference-driven techniques.
Survey design, sampling & coding
Data quality monitoring & reporting