Public sector solutions
Public data you can account for.
For ministries, departments, agencies and local governments in Uganda and East Africa. We trace the figures you report to your ministry, Parliament and the public back to their source, and build the platform that keeps them right.
Illustrative example: service turnaround time, budget execution rate and revenue against target traced to case, finance and revenue systems, with trust ratings.
Agency systems
- HR & payroll
- Programme monitoring
- Case & applications
- Finance & budget
- Revenue & collections
Traced to source
- Report
- Definition
- Calculation
- Data model
- Source system
Owner and trust rating for every number
Figures you report
Service turnaround time
Budget execution rate
Revenue against target
The challenge
Statutory and performance reports are compiled by hand from separate systems. Each department defines key measures its own way, and leadership cannot easily answer simple questions, such as how long a service really takes to deliver.
Our approach
We start by tracing the figures leadership reports on most back to their source. Then we build the data platform in stages, each with clear conditions before the next one begins.
Who we work with
Ministries, departments, agencies and local governments.
Public institutions
For regulators, revenue-collecting agencies, service-delivery institutions and local governments.
We work with the government data systems your institution already runs in Uganda.
- Service delivery and turnaround tracking
- Revenue, budget and expenditure reporting
- Programme and performance indicators
- Statutory and audit-ready reporting
Start with trust
The Data Trust Assessment: three weeks, fixed fee
The Data Trust Assessment takes the numbers your leadership relies on most and traces each one from the report back to its source.
Lineage map
How each key number is produced, system by system
Trust scorecard
Each number rated trusted, with caveats, or not yet
Shared definitions
For the terms your departments use differently
Prioritised roadmap
Prioritised by impact and effort
Delivered in stages
No big-bang projects
Each stage has clear conditions before the next one begins, so leadership decides on evidence, not promises.
Stage 1
Assess
The Data Trust Assessment traces the figures leadership relies on.
Moves on when
Findings accepted and a sponsor named
Stage 2
Foundation
The core data platform, shared definitions and quality checks.
Moves on when
Hosting model approved and data owners named
Stage 3
First use cases
Two or three pilots, such as service turnaround, revenue and budget execution.
Moves on when
Dashboards used in management meetings
Stage 4
Extend
More departments, self-service reporting and readiness for AI.
Moves on when
Each extension agreed on evidence from the last
What this means for AI
AI and advanced analytics work only when metrics are clearly defined, inputs can be traced to their source, data quality is known and access is controlled. The assessment gives each use case a plain verdict.
- Ready now
- Ready after specific fixes
- Not ready yet
Working within public rules
- We work within public procurement rules, and the assessment does not commit you to any provider.
- Findings, architecture and roadmap belong to your institution.
- Citizen and staff personal data is protected, with hosting and access agreed with your ICT and legal teams before any pipeline is built.
After the assessment
What we fix, once we know where trust breaks down.
Integrate and model
Connect case management, finance, revenue and HR systems into one consistent view of services, money and people.
Government data integration in Uganda, into one public sector data warehouse.
Quality and governance
Completeness and timeliness checks, plus clear ownership and access rules.
Government data governance that your departments can keep up.
Reporting and dashboards
Management, statutory and performance reports built on the traced numbers.
Government dashboards in Uganda, from service delivery dashboards and institutional performance dashboards to government reporting automation.
Get started
Build a public data foundation you can trust
Which figure in your next statutory report do you trust least? Tell us about the reports leadership answers for. Then we make sure they are built on a trusted data foundation.