Enterprise AI Administration
KPI Catalog
Every governed KPI with mission area, unit, direction, current value, target and formula reference.
Governed KPIs
100
Headline KPIs
12
With target
3
Mission areas
12
KPI catalog
Current period 2026-09
| KPI | Code | Mission area | Unit | Better when | Current | Target | Formula | Rules / models | Status | Lineage | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total revenue (QTD)Headline | FIN_TOTAL_REVENUE | Financial Performance | USD_M | Higher | USD 142.6M | — | Σ service_revenue + Σ equipment_revenue + Σ other_operating_revenue | 1 rules · 1 models | IMPROVING | View lineage | View details → |
| Service revenue growth | FIN_SERVICE_REVENUE_GROWTH | Financial Performance | % | Higher | 6.4% | — | — | — | IMPROVING | — | View details → |
| EBITDA marginHeadline | FIN_EBITDA_MARGIN | Financial Performance | % | Higher | 38.4% | — | EBITDA / total revenue × 100 | 1 rules · 1 models | AT RISK | View lineage | View details → |
| Operating margin | FIN_OPERATING_MARGIN | Financial Performance | % | Higher | 18.9% | — | — | — | AT RISK | — | View details → |
| Free cash flow | FIN_FREE_CASH_FLOW | Financial Performance | USD_M | Higher | USD 21.3M | — | — | — | IMPROVING | — | View details → |
| Revenue vs budget | FIN_REVENUE_VS_BUDGET | Financial Performance | % | Higher | 102.8% | 100 | — | — | IMPROVING | — | View details → |
| Cost-to-revenueHeadline | FIN_COST_TO_REVENUE | Financial Performance | % | Lower | 57.8% | — | operating expense / total revenue × 100 | — | AT RISK | View lineage | View details → |
| Blended ARPUHeadline | REV_BLENDED_ARPU | Revenue & ARPU | USD | Higher | USD 4.32 | — | service revenue / average active subscribers | 1 rules · 3 models | IMPROVING | View lineage | View details → |
| Prepaid ARPU | REV_PREPAID_ARPU | Revenue & ARPU | USD | Higher | USD 3.61 | — | — | — | IMPROVING | — | View details → |
| Postpaid ARPU | REV_POSTPAID_ARPU | Revenue & ARPU | USD | Higher | USD 18.40 | — | — | — | IMPROVING | — | View details → |
| Data ARPU | REV_DATA_ARPU | Revenue & ARPU | USD | Higher | USD 2.07 | — | Σ data_service_revenue ÷ avg(active_data_subscribers) | — | IMPROVING | View lineage | View details → |
| Voice ARPU | REV_VOICE_ARPU | Revenue & ARPU | USD | Higher | USD 1.18 | — | — | — | AT RISK | — | View details → |
| Revenue per GB | REV_REVENUE_PER_GB | Revenue & ARPU | USD | Higher | USD 0.92 | — | — | — | AT RISK | — | View details → |
| Revenue leakage | REV_REVENUE_LEAKAGE | Revenue & ARPU | % | Lower | 0.9% | — | estimated leakage / billable revenue × 100 | 1 rules · 1 models | IMPROVING | View lineage | View details → |
| Total subscribers | SUB_TOTAL_SUBSCRIBERS | Subscriber Growth | M | Higher | 11.4M | — | — | — | IMPROVING | — | View details → |
| Net addsHeadline | SUB_NET_ADDS | Subscriber Growth | K | Higher | +68k | — | gross adds − disconnects | 1 rules · 3 models | DETERIORATING | View lineage | View details → |
| Gross adds | SUB_GROSS_ADDS | Subscriber Growth | K | Higher | 412k | — | — | — | AT RISK | — | View details → |
| Active subscriber growth | SUB_ACTIVE_SUBSCRIBER_GROWTH | Subscriber Growth | % | Higher | 0.8% | — | — | — | AT RISK | — | View details → |
| Prepaid / postpaid mix | SUB_PREPAID_POSTPAID_MIX | Subscriber Growth | PREPAID_PCT | Higher | 93 / 7 | — | — | — | IMPROVING | — | View details → |
| Market share | SUB_MARKET_SHARE | Subscriber Growth | % | Higher | 47.2% | — | — | — | IMPROVING | — | View details → |
| Activation rate | SUB_ACTIVATION_RATE | Subscriber Growth | % | Higher | 88% | — | — | — | AT RISK | — | View details → |
| Dormant subscribers | SUB_DORMANT_SUBSCRIBERS | Subscriber Growth | % | Lower | 11.6% | — | — | — | AT RISK | — | View details → |
| Monthly churnHeadline | CHN_MONTHLY_CHURN | Churn & Retention | % | Lower | 2.9% | — | churned subscribers / opening active subscriber base × 100 | 1 rules · 2 models | AT RISK | View lineage | View details → |
| Voluntary churn | CHN_VOLUNTARY_CHURN | Churn & Retention | % | Lower | 1.9% | — | — | — | AT RISK | — | View details → |
| Involuntary churn | CHN_INVOLUNTARY_CHURN | Churn & Retention | % | On target | 1% | — | — | — | ON TRACK | — | View details → |
| High-value at risk | CHN_HIGH_VALUE_AT_RISK | Churn & Retention | K | Lower | 48k | — | — | — | DETERIORATING | — | View details → |
| Retention rate | CHN_RETENTION_RATE | Churn & Retention | % | Higher | 97.1% | — | (opening_active − churned) ÷ opening_active × 100 | — | AT RISK | View lineage | View details → |
| Save rate | CHN_SAVE_RATE | Churn & Retention | % | Higher | 34% | — | saved churn cases / eligible retention cases × 100 | — | IMPROVING | View lineage | View details → |
| Customer lifetime value | CHN_CUSTOMER_LIFETIME_VALUE | Churn & Retention | USD | Higher | USD 118 | — | — | — | AT RISK | — | View details → |
| Revenue at risk (churn)Headline | CHN_REVENUE_AT_RISK | Churn & Retention | USD_M | Lower | USD 6.8M | — | Σ average_monthly_revenue WHERE churn_propensity ≥ 0.65 | 2 rules · 1 models | DETERIORATING | View lineage | View details → |
| NPSHeadline | CX_NPS | Customer Experience | COUNT | Higher | +31 | — | % promoters − % detractors | 1 rules · 2 models | AT RISK | View lineage | View details → |
| CSAT | CX_CSAT | Customer Experience | % | Higher | 78% | — | count(csat_score ≥ 4) ÷ count(csat responses) × 100 | — | AT RISK | View lineage | View details → |
| Complaint rate | CX_COMPLAINT_RATE | Customer Experience | PER_1K_SUBS | Lower | 1.4 / 1k | — | complaints / active subscribers × 10,000 | 1 rules · 0 models | AT RISK | View lineage | View details → |
| First contact resolution | CX_FIRST_CONTACT_RESOLUTION | Customer Experience | % | Higher | 71% | — | — | — | AT RISK | — | View details → |
| Avg resolution time | CX_AVG_RESOLUTION_TIME | Customer Experience | HOURS | Lower | 26 h | — | — | — | AT RISK | — | View details → |
| Repeat contact rate | CX_REPEAT_CONTACT_RATE | Customer Experience | % | Lower | 18% | — | — | — | AT RISK | — | View details → |
| Customer-experienced availability | CX_CUSTOMER_EXPERIENCED_AVAILABILITY | Customer Experience | % | Higher | 99.41% | — | (Σ subscriber_minutes − Σ impacted_subscriber_minutes) ÷ Σ subscriber_minutes × 100 | — | AT RISK | View lineage | View details → |
| Digital self-service | CX_DIGITAL_SELF_SERVICE | Customer Experience | % | Higher | 42% | — | — | — | IMPROVING | — | View details → |
| Network availabilityHeadline | NET_NETWORK_AVAILABILITY | Network Performance & Risk | % | Higher | 99.62% | 99.7 | uptime minutes / scheduled service minutes × 100 | 2 rules · 1 models | AT RISK | View lineage | View details → |
| ARPU growth | REV_ARPU_GROWTH | Revenue & ARPU | % | Higher | 7.3% | — | — | — | IMPROVING | — | View details → |
| Dropped call rate | NET_DROPPED_CALL_RATE | Network Performance & Risk | % | Lower | 0.84% | — | dropped calls / total calls × 100 | — | AT RISK | View lineage | View details → |
| Call setup success | NET_CALL_SETUP_SUCCESS | Network Performance & Risk | % | Higher | 98.7% | — | — | — | AT RISK | — | View details → |
| Data throughput | NET_DATA_THROUGHPUT | Network Performance & Risk | MBPS | Higher | 18.4 Mbps | — | — | — | IMPROVING | — | View details → |
| Congestion rate | NET_CONGESTION_RATE | Network Performance & Risk | % | Lower | 6.2% | — | — | 1 rules · 1 models | AT RISK | View lineage | View details → |
| Site availability | NET_SITE_AVAILABILITY | Network Performance & Risk | % | Higher | 99.48% | — | — | — | AT RISK | — | View details → |
| Major outage minutes | NET_MAJOR_OUTAGE_MINUTES | Network Performance & Risk | COUNT | Lower | 1,240 | — | — | — | DETERIORATING | — | View details → |
| Capacity utilisation | NET_CAPACITY_UTILISATION | Network Performance & Risk | % | Lower | 78% | — | — | — | AT RISK | — | View details → |
| High-risk sitesHeadline | NET_HIGH_RISK_SITES | Network Performance & Risk | COUNT | Lower | 214 | — | — | — | DETERIORATING | — | View details → |
| Interconnect revenue | ICR_INTERCONNECT_REVENUE | Interconnect & Roaming | USD_M | Higher | USD 13.1M | — | — | — | IMPROVING | — | View details → |
| Interconnect cost | ICR_INTERCONNECT_COST | Interconnect & Roaming | USD_M | Lower | USD 9.8M | — | — | — | DETERIORATING | — | View details → |
| Roaming revenue | ICR_ROAMING_REVENUE | Interconnect & Roaming | USD_M | Higher | USD 4.2M | — | — | 0 rules · 1 models | IMPROVING | — | View details → |
| Roaming margin | ICR_ROAMING_MARGIN | Interconnect & Roaming | % | Higher | 41% | — | (roaming revenue − settlement cost) / roaming revenue × 100 | 1 rules · 0 models | IMPROVING | View lineage | View details → |
| Intl traffic volume | ICR_INTL_TRAFFIC_VOLUME | Interconnect & Roaming | M_MINUTES | Higher | 86M min | — | — | — | IMPROVING | — | View details → |
| Settlement variance | ICR_SETTLEMENT_VARIANCE | Interconnect & Roaming | % | Lower | 2.7% | — | — | — | AT RISK | — | View details → |
| Roaming fraud loss | ICR_ROAMING_FRAUD_LOSS | Interconnect & Roaming | USD_K | Lower | USD 84k | — | — | — | IMPROVING | — | View details → |
| Interconnect leakage | ICR_INTERCONNECT_LEAKAGE | Interconnect & Roaming | % | Lower | 0.6% | — | — | — | AT RISK | — | View details → |
| Digital revenue | DIG_DIGITAL_REVENUE | Digital Services | USD_M | Higher | USD 22.4M | — | — | — | IMPROVING | — | View details → |
| App active users | DIG_APP_ACTIVE_USERS | Digital Services | M | Higher | 2.9M | — | — | — | IMPROVING | — | View details → |
| Self-service adoption | DIG_SELF_SERVICE_ADOPTION | Digital Services | % | Higher | 42% | — | — | — | IMPROVING | — | View details → |
| Digital transactions | DIG_DIGITAL_TRANSACTIONS | Digital Services | M | Higher | 61M | — | — | — | IMPROVING | — | View details → |
| Digital conversion | DIG_DIGITAL_CONVERSION | Digital Services | % | Higher | 7.8% | — | — | — | IMPROVING | — | View details → |
| App availability | DIG_APP_AVAILABILITY | Digital Services | % | Higher | 99.81% | — | — | — | IMPROVING | — | View details → |
| Digital churn | DIG_DIGITAL_CHURN | Digital Services | % | Lower | 4.1% | — | — | — | AT RISK | — | View details → |
| VAS revenue | DIG_VAS_REVENUE | Digital Services | USD_M | Higher | USD 3.9M | — | — | — | AT RISK | — | View details → |
| Revenue leakage | FRA_REVENUE_LEAKAGE | Fraud & Revenue Assurance | USD_M | Lower | USD 0.8M | — | estimated leakage / billable revenue × 100 | 1 rules · 1 models | IMPROVING | View lineage | View details → |
| SIM-box incidents | FRA_SIM_BOX_INCIDENTS | Fraud & Revenue Assurance | COUNT | Lower | 1,240 | — | — | 1 rules · 2 models | AT RISK | — | View details → |
| Subscription fraud rate | FRA_SUBSCRIPTION_FRAUD_RATE | Fraud & Revenue Assurance | % | Lower | 0.31% | — | — | — | IMPROVING | — | View details → |
| Roaming fraud | FRA_ROAMING_FRAUD | Fraud & Revenue Assurance | USD_K | Lower | USD 84k | — | — | — | IMPROVING | — | View details → |
| Billing leakage | FRA_BILLING_LEAKAGE | Fraud & Revenue Assurance | % | Lower | 0.4% | — | — | — | IMPROVING | — | View details → |
| Recharge fraud | FRA_RECHARGE_FRAUD | Fraud & Revenue Assurance | USD_K | Lower | USD 190k | — | — | 1 rules · 0 models | AT RISK | — | View details → |
| Fraud detection rate | FRA_FRAUD_DETECTION_RATE | Fraud & Revenue Assurance | % | Higher | 91% | — | — | — | IMPROVING | — | View details → |
| Prevented loss value | FRA_PREVENTED_LOSS_VALUE | Fraud & Revenue Assurance | USD_M | Higher | USD 1.12M | — | — | — | IMPROVING | — | View details → |
| OPEX (QTD) | COST_OPEX | Cost Optimization | USD_M | Lower | USD 82.4M | — | operating expense / total revenue × 100 | — | AT RISK | — | View details → |
| Network opex / subscriber | COST_NETWORK_OPEX_SUBSCRIBER | Cost Optimization | USD | Lower | USD 2.41 | — | — | — | AT RISK | — | View details → |
| Cost per GB | COST_COST_PER_GB | Cost Optimization | USD | Lower | USD 0.38 | — | — | — | IMPROVING | — | View details → |
| Cost per site | COST_COST_PER_SITE | Cost Optimization | USD_K_PER_MONTH | Lower | USD 5.9k / mo | — | — | — | AT RISK | — | View details → |
| Care cost / subscriber | COST_CARE_COST_SUBSCRIBER | Cost Optimization | USD | Lower | USD 0.21 | — | — | — | AT RISK | — | View details → |
| Energy cost | COST_ENERGY_COST | Cost Optimization | USD_M | Lower | USD 11.2M | — | Σ gl_opex.amount WHERE cost_center IN (ENERGY_GRID, ENERGY_DIESEL, ENERGY_ALT) | 1 rules · 2 models | DETERIORATING | View lineage | View details → |
| Vendor spend | COST_VENDOR_SPEND | Cost Optimization | USD_M | Lower | USD 27.6M | — | — | — | IMPROVING | — | View details → |
| Automation savings | COST_AUTOMATION_SAVINGS | Cost Optimization | USD_M | Higher | USD 0.7M | — | — | — | IMPROVING | — | View details → |
| CAPEX spend (YTD) | CAP_CAPEX_SPEND | Capital & Investment | USD_M | Higher | USD 64.8M | — | — | — | IMPROVING | — | View details → |
| CAPEX vs budgetHeadline | CAP_CAPEX_VS_BUDGET | Capital & Investment | % | Higher | 86% | 100 | capex / total revenue × 100 | — | IMPROVING | View lineage | View details → |
| Network investment ROI | CAP_NETWORK_INVESTMENT_ROI | Capital & Investment | % | Higher | 14.2% | — | — | 1 rules · 1 models | IMPROVING | — | View details → |
| Cost per new site | CAP_COST_PER_NEW_SITE | Capital & Investment | USD_K | Lower | USD 118k | — | — | — | IMPROVING | — | View details → |
| Capacity added | CAP_CAPACITY_ADDED | Capital & Investment | TBPS | Higher | +2.1 Tbps | — | — | — | IMPROVING | — | View details → |
| Payback period | CAP_PAYBACK_PERIOD | Capital & Investment | YEARS | Lower | 3.4 yrs | — | — | — | IMPROVING | — | View details → |
| Spectrum utilisation | CAP_SPECTRUM_UTILISATION | Capital & Investment | % | Higher | 72% | — | — | — | IMPROVING | — | View details → |
| Regulatory breaches | REG_REGULATORY_BREACHES | Regulatory & Compliance | COUNT | Lower | 2 | — | — | — | AT RISK | — | View details → |
| SLA compliance | REG_SLA_COMPLIANCE | Regulatory & Compliance | % | Higher | 96.4% | — | — | — | AT RISK | — | View details → |
| QoS compliance | REG_QOS_COMPLIANCE | Regulatory & Compliance | % | Higher | 93.1% | — | — | — | AT RISK | — | View details → |
| Spectrum compliance | REG_SPECTRUM_COMPLIANCE | Regulatory & Compliance | % | On target | 100% | — | — | — | ON TRACK | — | View details → |
| Privacy incidents | REG_PRIVACY_INCIDENTS | Regulatory & Compliance | COUNT | On target | 1 | — | — | — | ON TRACK | — | View details → |
| Reporting timeliness | REG_REPORTING_TIMELINESS | Regulatory & Compliance | % | Higher | 98% | — | — | — | IMPROVING | — | View details → |
| Audit findings | REG_AUDIT_FINDINGS | Regulatory & Compliance | COUNT | Lower | 7 | — | — | — | IMPROVING | — | View details → |
| Open compliance actions | REG_OPEN_COMPLIANCE_ACTIONS | Regulatory & Compliance | COUNT | Lower | 14 | — | — | — | AT RISK | — | View details → |
| Interconnect margin | ICR_INTERCONNECT_MARGIN | Interconnect & Roaming | USD_M | Higher | USD 3.3M | — | — | — | DETERIORATING | — | View details → |
| Fraud + revenue leakageHeadline | FRA_FRAUD_LEAKAGE_TOTAL | Fraud & Revenue Assurance | USD_M | Lower | USD 1.9M | — | — | — | IMPROVING | — | View details → |
| Fraud loss | FRA_FRAUD_LOSS | Fraud & Revenue Assurance | USD_M | Lower | USD 1.1M | — | — | 1 rules · 2 models | IMPROVING | — | View details → |
| Savings realised | COST_SAVINGS_REALIZED | Cost Optimization | USD_M | Higher | USD 2.3M | — | — | — | IMPROVING | — | View details → |
| Benefits realised | CAP_BENEFITS_REALIZED | Capital & Investment | USD_M | Higher | USD 9.6M | — | — | — | IMPROVING | — | View details → |