Data Analytics & Research Intelligence
From raw data to research evidence and decision-ready intelligence.
CROMLAB provides research, statistical, data-management, monitoring, visualisation, GIS, machine-learning and analytical solutions for researchers and organisations seeking to make better use of their data.
Our services are tailored to transforming data and research evidence into actionable insights through advanced analytics, statistical modelling, machine learning, visualization, and evidence-based research.
Data Analytics and Research Services
We support research throughout the analytical lifecycle—from study design and data preparation to modelling, interpretation, visualisation and reproducible reporting.
Available services include:
- Research design support
- Sample-size and power analysis
- Data management
- Descriptive and inferential statistics
- Regression modelling
- Multilevel and longitudinal analysis
- Survival analysis Bayesian modelling
- Spatial and spatio-temporal modelling
- Biostatistics and epidemiological analysis
- Econometrics Research visualisation and reporting
We help organisations transform programme monitoring and evaluation data into timely performance information and structured learning.
Available services include:
- Theory of change and M&E frameworks
- Indicator development and reference sheets
- Digital data-collection systems
- Data-quality assessment
- Baseline, midline and endline studies
- Process, outcome and impact evaluation
- Performance dashboards
- Indicator tracking
- Outcome analysis
- M&E reporting and learning reviews
Reliable analysis begins with reliable data. We assess, clean, structure and document datasets for analysis and sustainable institutional use.
Available services include:
- Data health checks Data cleaning and validation
- Data-quality assessment
- Database structuring
- Data integration
- Missing-data assessment Variable and metadata documentation
- Analysis-ready dataset preparation
- Reproducible data workflows
We convert organisational data into dashboards and performance intelligence that help managers monitor indicators, identify trends and focus action.
Available services include:
- Executive dashboards
- M&E dashboards Health dashboards
- Laboratory dashboards
- KPI systems
- Performance monitoring
- Automated reporting
- Data visualisation
- Power BI dashboard development
We integrate geographic information and spatial analysis to reveal patterns, inequalities and service gaps that conventional tables may not show.
Available services include:
- Spatial data management
- Thematic and health mapping
- Service-accessibility analysis
- Spatial statistics
- Hotspot analysis
- Geographic inequality analysis
- Spatial and spatio-temporal modelling
- Interactive maps Location intelligence
We apply machine learning and responsible AI to prediction, classification, forecasting and decision support where these methods provide meaningful and validated value.
Available services include:
- Predictive modelling
- Classification Machine-learning regression
- Feature selection
- Model comparison and validation
- Forecasting
- Explainable AI
- Machine-learning dashboards
- AI-readiness assessment
- Responsible AI review
We strengthen how research and operational data are collected, managed, monitored and transformed into usable information.
Available services include:
- Digital survey systems
- Electronic data collection
- Data pipelines
- Data integration
- Automated reporting
- Data-quality monitoring
- Research data systems
- M&E data systems
- Documentation and user training
From Requirement to Sustained Value
01 — DISCOVER: Clarify the research, organisational or analytical problem.
02 — ASSESS: Review objectives, available data, systems, constraints and approvals.
03 — DESIGN: Define the appropriate method, workflow or technological solution.
04 — IMPLEMENT: Clean, analyse, model, visualise or build the agreed system.
05 — VALIDATE: Assess quality, assumptions, performance and analytical reliability.
06 — DELIVER: Provide agreed outputs, documentation, interpretation and knowledge transfer.
07 — SUPPORT: Provide follow-up, maintenance or recurring analytical support where required.
Start With a Data Health Check
Not sure whether your data are ready for analysis? The CROMLAB Data Health Check assesses structure, completeness, consistency, definitions, quality and analytical readiness before major analytical work begins.
- Data-quality assessment
- Data-structure review
- Missingness assessment
- Consistency checks Variable and coding review
- Analytical-readiness assessment
- Prioritised improvement recommendations
Transparent, Reproducible and Responsible Practice
Assignments are designed around defined objectives, appropriate methods, documented assumptions, data-quality checks, reproducible workflows and clear communication. Work involving personal, health or research data is accepted only under suitable legal, ethical, security and institutional arrangements.
Discuss a Research and Data Analytics Requirement
Provide your project objective, available data, expected outputs, deadline and relevant approvals. CROMLAB will review the requirement and propose an appropriate scope.