Empowering Humanitarian Insights
QARAR (/KARAR/) means "decision" in Arabic.
It reflects the principle at the heart of everything we do: that the best decisions are not driven by assumptions, but by evidence.
It is more than our name, it is our purpose. We believe that every meaningful decision begins with reliable evidence.
By transforming data into insight, we empower organizations to make decisions that are informed, defensible, and capable of creating lasting impact.
Our Story
Qarar Data Analytics is a specialized data, research, monitoring and evaluation consultancy supporting humanitarian and development organizations with rigorous evidence, practical analysis, and decision-ready insights.
We combine deep experience in humanitarian information management, assessments, monitoring and evaluation, data analytics, and digital data systems to help organizations transform complex field data into reliable evidence for programme design, performance measurement, accountability, and strategic decision-making.
Our Approach
Qarar’s approach is grounded in methodological rigor, strong data-quality standards, appropriate use of technology, and a clear understanding of humanitarian and development operating environments. Our work spans the full evidence cycle—from assessment design and digital data collection through quality assurance, analysis, visualization, and reporting.
Building reliable data from field collection through validation
Data Collection, Quality & Management
We develop and manage digital data-collection processes using platforms such as Kobo Toolbox and ODK, from tool digitization and enumerator training to field-level quality assurance. We apply structured data cleaning, validation and quality-audit processes to ensure that information is accurate, consistent, complete, and ready for analysis.
Generating robust evidence and measuring results
Assessments, Monitoring & Evaluation
We design and deliver baseline, endline, needs and programme assessments, supported by rigorous survey methodologies and sampling approaches. Our work covers questionnaire design and field-testing, monitoring and evaluation, indicator measurement, and results frameworks to help organizations understand needs, establish credible benchmarks, and measure change over time.
Transforming data into insights for decision-making
Analytics, Visualization & Evidence
We transform complex datasets into clear and actionable insights through statistical analysis, GIS and spatial analysis, interactive Power BI dashboards, and data visualization. We combine analytical reporting with evidence synthesis to help organizations identify patterns, communicate findings, and make better-informed decisions.
Our Value
Integrated Expertise
Qarar combines expertise in assessments, monitoring and evaluation, information management, data analytics, and visualization to help humanitarian and development organizations generate reliable evidence and turn it into actionable insights.
From Data to Decisions
Our approach connects the full evidence lifecycle—from methodology and data collection to quality assurance, analysis, visualization, and reporting—ensuring consistent, high-quality outputs that are practical for programme management and decision-making.
Experience That Understands Context
Drawing on extensive experience supporting UN agencies and humanitarian operations across the Middle East and Africa, Qarar combines technical rigor with operational understanding to transform evidence into clarity—helping organizations understand needs, measure results, identify gaps, and make better-informed decisions.
Methodology
Qarar applies a hands-on, technically driven approach that maintains strong oversight throughout each assignment. Methodological design, data systems, quality assurance, analysis, visualization, and reporting are managed as an integrated process, ensuring consistency from initial design through to the interpretation and communication of results.
Qarar focuses on designing robust methodologies, developing and digitizing data-collection tools for assignments involving primary data collection, establishing quality-control protocols, and providing the technical guidance needed to support effective implementation. We work closely with clients and their designated partners or field teams to ensure that data collection is aligned with agreed methodologies and quality standards.
Our approach emphasizes close collaboration, transparent methodological decisions, efficient use of digital tools, rigorous data-quality assurance, and clear documentation throughout the evidence-generation process—ensuring that findings are credible, reproducible, and useful for decision-making.