Capability 03
Data & Analytics Systems
Turn fragmented information into structured decision support.
Discuss a RequirementThe problem
Where this helps.
Data-heavy work is difficult when inputs are inconsistent, calculations are opaque or reporting depends on manual preparation. The system should make the information and its lineage understandable.
What you may need
Typical requirements
- Structured data collection and validation
- Domain-specific calculations and rules
- Search, reporting and analytical workflows
- Data imports, exports and system connections
What we can deliver
A practical scope of work
- Data models and validation rules
- Collection and processing workflows
- Reporting interfaces with explainable calculations
- Integration and documented data handling
Engagement approach
Define the work. Make progress visible.
Agree what each data point means, where it comes from and how it will be checked. Validate calculations against approved examples before building the reporting layer.
Scope, technical choices and support arrangements are agreed for each engagement.
Relevant work
Systems we have built.
Kiribati GHG Inventory System
A custom web-based platform developed for ICLEI South Asia to support Kiribati’s greenhouse-gas inventory workflows.
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EAJEE Market Analytics Platform
Market analytics software for trend classification, strategy transitions, historical strategy analysis and streak analysis.
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