National regulatory platform
From operator reports — to continuous regulatory analytics
Operator self-reporting, source-data auditing and independent measurement in a single national system. One source of regulatory truth for the telecom sector.
The challenge
Today operators report, the regulator consolidates
The classic reporting model always hits the same wall: a declared KPI is not an independently verified KPI.
How it works today
- differing calculation methods
- fragmented formats
- low geographic granularity
- hard to compare operators
- delayed visibility of degradations
- costly manual verification
- figures cannot be verified
- no link between coverage, QoS and complaints
The core problem
A declared KPI is not an independently verified KPI.
Collecting reports
Measuring and auditing national network quality
Proposed model
Self-reporting + KPI auditing
Four independent sources of evidence, merged into a single verification chain.
Operator self-reporting
Standardised KPIs and operational data from operators.
Source-data audit
Selective requests for granular data so the regulator can recompute KPIs.
Independent measurements
Regulatory probes, drive and walk tests, measurement infrastructure.
Statistics and external data
Crowdsourcing plus geographic, demographic and market datasets.
Verification core
Example — network availability
The goal is not distrust of operators, but data that is measurable, comparable and verifiable.
One single picture
One national view of network quality
The data model links the entire chain — from operator down to a specific compliance indicator.
Operational level
What is happening right now?
- Where are the major outages?
- Which services are degraded?
- How many subscribers are affected?
Regulatory level
Who is compliant?
- Which operators comply?
- Which regions fail QoS targets?
- Which reports need auditing?
Strategic level
Where is the sector heading?
- Where does the digital divide persist?
- Where should investment be encouraged?
- Are spectrum obligations being met?
What is collected
National KPI catalogue
A mature implementation covers 100–250 indicators. Start with methodology, not with the maximum.
Coverage
population, territory, roads, 4G/5G
Voice (mobile)
CSSR, drop rate, setup time, quality
Mobile data
download, upload, latency, jitter, loss
Fixed broadband
availability, speed, contract vs actual
Messaging
SMS success rate, delivery, delivery time
Emergency services
availability, success rate, location transfer
Network availability
RAN, Core, Transport, DNS, IMS, gateways
Major incidents
subscribers, duration, geography, root cause
Customer experience
complaints, resolution time, MTTR
Infrastructure
sites, cells, fibre, backbone, interconnects
Spectrum
deployment, coverage, utilisation, traffic/MHz
Reporting quality
completeness, timeliness, restatements, deviations
Geo-compliance
National averages hide the digital divide
A national median of 120 Mbps can look excellent while a large share of the country stays underserved.
Median download speed, Mbps
What the platform evaluates
“Operator A is compliant.”
“Operator A complies in 92% of municipalities, home to 96% of the population.»
The price of a percent
A small KPI gap means hundreds of thousands of citizens
With 8M active subscribers, every percentage point means tens of thousands of people.
Licence requirement
95%
population coverage = 9.5M people
Independent measurement
91,9%
coverage confirmed for 9.19M people
Compliance gap
~310,000 people
Major incidents
From after-the-fact reports to national situational awareness
Incidents are reported separately from periodic KPIs — the regulator sees a live, real-time picture.
Impact model
Subscribers × Duration × Geography × Criticality
Incident comparison
200,000 subscribers × 2 hours
400 000
subscriber-hours
50,000 subscribers × 12 hours
600 000
subscriber-hours
The second incident affects fewer people but causes greater cumulative harm.
Regulatory timeline
T + 15 min
Initial notification
T + 60 min
Refined impact assessment
every 60 min
Status update
T + 24 h
Preliminary report
T + 5 business days
Root Cause Analysis
Operator onboarding
One regulatory standard — several integration paths
The regulator standardises the data boundary, not the operator's infrastructure: OSS, NMS and vendors stay free.
| Level | Interface | Typical user |
|---|---|---|
| Level 1 | Web portal / CSV / XLSX | Small operators |
| Level 2 | SFTP / HTTPS / secure upload | Mid-size operators |
| Level 3 | REST Regulatory API | Large operators |
| Level 4 | Event Streaming / Kafka / AMQP | Near-real-time |
Data journey
Verification
Every submission is checked
Four audit layers — from fully automated validation to independent field measurement.
Automated validation
Schema, ranges, completeness, referential integrity — 100% of submissions.
100% of submissionsAnalytical audit
Outliers, anomalies, historical changes, cross-KPI inconsistency.
AnomaliesSource-data audit
The regulator requests raw data and recomputes the KPIs itself.
RecalculationIndependent measurement
Fixed probes, drive/walk tests, representative samples.
Measurements87
0–100
Operator Data Quality Score
The regulator scores both network quality and reporting reliability
Independent measurements
Trust operator data — but make it verifiable
The regulator does not need to measure every subscriber — it needs a statistically defensible independent reference dataset.
| Component | Initial scale |
|---|---|
| Permanent measurement points | 30–50 |
| Large urban areas | Covered |
| Transport nodes | Sampled |
| Rural and remote areas | Representative sample |
| Drive testing | Periodic campaigns |
| Crowdsourcing | Statistical coverage |
The arithmetic of evidence
50 probes × 1,000 measurements/day
50,000 / day
~18.25M
independent measurements per year
Rollout
Value is delivered in stages
Phases can overlap: the first working outcome arrives long before the full launch.
| Phase | Scope | Duration | Indicative budget |
|---|---|---|---|
| Phase 0 | Regulatory and technical design | 2–3 mo | $100k–$200k |
| Phase 1 | Self-reporting MVP | 4–6 mo | $300k–$600k |
| Phase 2 | National rollout | 6–9 mo | $700k–$1.3M |
| Phase 3 | KPI auditing | 4–6 mo | $350k–$700k |
| Phase 4 | Independent measurements | 6–12 mo | $700k–$2.3M* |
| Phase 5 | National Telecom Intelligence | 6–12 mo | $400k–$900k |
* including roughly $300k–$1.5M of measurement infrastructure
Stepwise growth of KPI coverage
| Stage | Operators | KPI | Goal |
|---|---|---|---|
| Pilot | 2–3 | 20–30 | Methodology validation |
| National reporting | Large operators | 50–100 | National visibility |
| Full reporting | All regulated operators | 100+ | Full compliance |
| Audit | Risk-based | 100+ | Reporting checks |
Investment
National infrastructure at a modest cost per subscriber
Illustrative country: 10M inhabitants, ~8M active subscribers.
| Investment area | Indicative budget |
|---|---|
| Regulatory platform core | $1.8M–$3.5M |
| Independent measurement infrastructure | $0.5M–$2.0M |
| Total initial programme | $2.3M–$5.5M |
Annual operating costs
$0.4M–$1.0M
Platform operations, software support, cybersecurity, data operations and maintenance of the measurement infrastructure.
15–25%
of the initial platform investment per year, excluding extraordinary measurement campaigns
Initial investment per subscriber
~$0.29–$0.69
Annual cost per subscriber
~$0.05–$0.13
These are not proposed tariffs — they show the scale of investment relative to the population benefiting from national quality oversight.
The whole programme
The whole programme on one screen
| Parameter | Proposed scale |
|---|---|
| Population | 10M |
| Active subscribers | ~8M |
| Initial KPI set | 20–30 |
| Mature KPI catalogue | 100–250 |
| Pilot operators | 2–3 |
| Independent measurement points | 30–50 at launch |
| First working outcome | 6–9 months |
| National rollout | 12–18 months |
| Full maturity | 24–36 months |
| Core platform investment | $1.8M–$3.5M |
| Measurement infrastructure | $0.5M–$2.0M |
| Total initial programme | $2.3M–$5.5M |
| Annual OPEX | $0.4M–$1.0M |
Vision
Trust operator data — but make it verifiable
Periodic reporting
Continuous regulatory analytics
National averages
Geographic and population compliance
Operator-declared KPIs
Verifiable evidence of quality
Fragmented statistics
A single source of regulatory truth