QoE index
Overall measure of customer experience on key zones.
GWIT Analysis
Data storytelling for steering committees
A decision-grade analysis on turning network KPIs into fast, justified trade-offs for steering committees.
Full analysis available on request.
Executive summary
Steering committees expect a clear read of risks and priorities, not a volume of data. Strong data storytelling links QoS, customer experience and budgets, and makes critical zones and expected returns visible.
Scope & reading
- Scope: Network KPIs, QoE and business performance.
- Goal: Accelerate CAPEX/OPEX trade-offs.
- Reading: Critical zones, gains and risks.
Key indicators
Critical zones
Top zones with high incidents and complaints.
Cost per GB
OPEX over traffic, useful for trade-offs.
Regulatory risk
QoS gaps that may trigger sanctions.
Expected return
Customer and business gain estimated per action.
Reading the signals
- Dense zones concentrate the high-impact QoE gaps.
- Uniform investments dilute business impact.
- Early alerts reduce regulatory risks.
Business impacts
- Faster, better-justified CAPEX/OPEX decisions.
- Reduced non-compliance risk.
- Higher customer satisfaction and retention.
Scenarios & options
Option A — Critical-zone focus
Prioritize zones with high customer and business impact.
Option B — KPI optimization
Quick wins through tuning and load management.
Option C — 6-month roadmap
Combine quick actions with an investment plan.
GWIT recommendation
GWIT recommends industrializing data storytelling with stable scorecards, heatmaps and a monthly executive ritual. This setup turns scattered KPIs into executive decisions.
- 30 days: consolidated KPI scorecards.
- 60 days: heatmaps and CAPEX/OPEX scenario.
- 90 days: monthly executive governance.
Risks & dependencies
- Heterogeneous data across zones.
- Lack of consistency between network and business KPIs.
- Absence of an arbitration ritual.
Sources & reliability
- GWIT field experience in QoS benchmarking.
- Regulator frameworks and QoS/QoE standards.
- GSMA references on network performance.
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