Transform raw network, billing, and operational logs into a Prescriptive Investment Engine — ranking every site by its True Economic Value and Strategic Growth Potential.
Tower sites generate lower-than-expected revenue compared to their cost — but without integrated data, you can't tell if the problem is technical, commercial, operational, or strategic.
Infrastructure that is "always on" — consuming power and rent — but serving almost no one. Utilisation under 20% while capacity sits idle.
A "high revenue" site may actually be a low-profit site because fuel consumption eats 70% of the margin. You can't see this from billing data alone.
Sites with high revenue but poor QoS (packet loss, high latency). Users don't complain — they simply stop using data or switch SIMs.
Network-ready sites with high capacity but low revenue — not because of technical issues, but because there are zero retail outlets nearby.
Which site made the most money?
Which site has the best net margin after all costs?
Which site has low traffic?
Is the cause technical, commercial, or operational?
Where should we invest next?
What is the ROI-ranked priority list with specific actions?
We fuse data from four departmental silos — each providing a different lens on the same tower site. The magic happens when they're joined by SiteID.
Commercial Source
"I need daily aggregated revenue, traffic volume, and Interconnect splits per SiteID."
Technical & Quality Source
"I need site-level QoS, Latency, and Specific Failure Codes."
Behavioural & Demographic Source
"I need anonymised segment profiles and POS density for each site's radius."
Infrastructure & Cost Source
"I need the Power Source Profile, Fuel Consumption, and Physical Accessibility."
A multi-dimensional ranking engine that scores every site by its True Economic Value, then prescribes the exact action needed — technical fix, commercial push, or operational upgrade.
| Rank | SiteID | Root Cause | Action | Uplift |
|---|---|---|---|---|
| 1 | S_1014 | Commercial Gap | Open 2 retail outlets | +40% Revenue |
| 2 | S_1002 | Technical Gap | Fix antenna interference | -25% Churn |
| 3 | S_1039 | Operational Gap | Install solar panels | +15% Margin |
| 4 | S_1006 | Strategic Gap | Upgrade to 5G for premium users | +25% ARPU |
The integrated data approach directly solves your operational challenges — moving from opinion-based decisions to evidence-based site management.
Looking only at low revenue or low traffic.
Compare Actual Usage against Theoretical Capacity from Planning/OSS data.
Find "Ghost Sites" — infrastructure always on, consuming power and rent, serving almost no one. Decide: decommission or relocate hardware.
Manual reports from the Billing team.
Real-time Site Profitability Dashboard — see Net Margin, not just revenue.
A "High Revenue" site may actually be a "Low Profit" site because fuel consumption eats 70% of margin.
Comparing City A vs. City B.
Persona-Based Clustering (K-Means) — group by behaviour regardless of geography.
Compare all "University Clusters" or "Industrial Zones" nationwide to find underperformers.
Checking if a site "feels" slow.
Congestion Forecasting — join PRB Utilisation (Network) with Data Traffic (Billing).
Sites may look underutilised on a 24hr average but hit 95% congestion every day at 7 PM — the "Peak Hour Bottleneck."
Guesswork between Network and Sales teams.
Gap-Analysis Matrix — automatically classify the root cause.
Low revenue + high drops = Technical Fix (send technician). High capacity + low drops + zero POS = Commercial Push (send sales team).
Insights you can present directly to your Board of Directors or CTO to justify infrastructure investment.
CAPEX / OPEX Optimisation
The model automatically classifies underperforming sites and prescribes the right action.
Send a technician to tune the frequency
Send the sales team — open a retail shop
Switch to solar — payback in <18 months
Upgrade to 5G to capture high-end users
We work with your existing systems. Each department provides a simple data export — we handle the integration, modelling, and visualisation.
billing_export.csv
network_performance.csv
site_infrastructure.csv
customer_insights.csv
Everything else is handled by us
Receive the 4 CSV exports. Validate schemas, handle missing values, join on SiteID. Build the unified site record.
Calculate net margins, utilisation ratios, and gap classifications. Train K-Means clustering and decision tree models on your actual site data.
Build the interactive dashboard with site rankings, decision trees, cluster comparisons, and drill-down views. Deploy to secure cloud.
Live walkthrough with your team. Export board-ready reports. Train your team on interpreting the Scorecard. Ongoing support begins.
Send us the 4 data exports and we'll deliver a scored, ranked, and actioned view of your entire tower portfolio in as little as 5 weeks.