Sub‑Optimal Roaming Agreement and Pricing Decisions from Poor Settlement Data Visibility
Definition
Incomplete, delayed, or siloed roaming settlement data limits operators’ ability to accurately analyze partner performance, traffic patterns, and profitability, leading to sub‑optimal decisions on bilateral agreements, discount tiers, and network investments. Industry sources stress the need for a 360‑degree view of roaming services and a single database across clearing and settlement to support clear, actionable insights—highlighting that many operators currently lack this visibility.
Key Findings
- Financial Impact: While not quantified explicitly, decision errors in setting wholesale rates, choosing partners, or designing discounts can easily move margins by several percentage points on large roaming revenue and cost bases; for major operators with substantial roaming flows, mispriced or poorly negotiated agreements can therefore represent multi‑million‑dollar annual opportunity costs.
- Frequency: Quarterly
- Root Cause: The main causes are fragmented data across multiple clearing houses and internal systems, reliance on TAP batch files with limited analytical richness, and lack of integrated settlement platforms that consolidate usage, financials, and agreement terms. Vendors promote solutions that give operators a holistic view of roaming agreements and traffic, underscoring that without such tools, decisions are made on partial or outdated information.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Wireless Services.
Affected Stakeholders
Roaming strategy and wholesale commercial teams, Finance business partners for wholesale/roaming units, Product managers for roaming offers, Executive leadership deciding on partner and network investments
Deep Analysis (Premium)
Financial Impact
$1M-$4M annually in undetected roaming revenue leakage, overbilling by partners, and fraud (both internal and external); delayed fraud detection increases financial exposure • $1M-$5M annually in sub-optimal spectrum investments (investing in unprofitable partners, not investing in high-margin partners), network capacity misallocation, and opportunity cost • $200K-$800K annually in delayed MVNO payments, interest on disputes, and manual labor cost; MVNO partners churn due to payment delays and margin confusion
Current Workarounds
Manual aggregation of IoT device CDRs from multiple networks; Excel-based volume and cost reconciliation; informal queries to partner systems; delayed detection of IoT roaming anomalies • Manual extraction of roaming revenue by partner from billing system; informal discussions with Settlement team to understand partner margin; Excel-based partner profitability analysis; outdated roaming volume data used for planning • Manual extraction of settlement data from clearing house; Excel-based reconciliation of charged vs. expected values; spot checks on roaming partner accuracy; informal communication with Settlement team for data clarification
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Overpaying and Under‑billing Due to Inaccurate Roaming Settlement and Reconciliation
Excessive Operational Cost from Manual and Legacy Roaming Settlement Processes
Cost of Poor Quality in Roaming Billing Data and Settlement Outputs
Slow Inter‑Operator Roaming Settlement Extending Time‑to‑Cash
Back‑Office Capacity Consumed by Roaming Disputes and Manual Reconciliation
Regulatory and GSMA Standard Non‑Compliance Risks in Roaming Settlement
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