Traffic and Revenue Monitoring for Taxation Assurance
Harness the power of transparency and data-driven decisions to boost revenue and drive economic growth.
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Traffic and Revenue Monitoring for Taxation Assurance
Overview
The absence of control measures in the telecom market results in revenue losses in millions of dollars on yearly basis. This is due to the discrepancy between the declaration of Communication Service Providers (CSPs), and the actual traffic volume.
Designed for telecom regulators, central banks and taxation authorities, our innovative RegTech/GovTech solution leverages technology to ensure accurate tax reporting, real-time data insights, and proactive fraud detection. The aim of the solution is to implement transparency over CSPs’ traffic and revenue streams, minimizing revenue leakage, identifying underreported income and ensuring tax compliance.
Benefits and Features
360° insight into all Communication Service Providers (CSPs) Traffic and Revenue
Deep dive into traffic and revenue figures by collecting and processing raw and billed xDRs that will provide a complete visibility on the CSPs’ activities with:
- A 5-level categorization of traffic and revenues.
- An insight into the CSPs’ wholesale and retail revenue.
- Integration of inbound and outbound roaming traffic and revenue.
- Integration of deferred and actual revenue.
Traffic and Revenue KPIs
Near real-time display of traffic and revenue KPIs for a better insight into the national telecom market’s dynamics:
- Segmented active subscriber base.
- Segmented ARPU.
- Segmented MoU.
- ACD.
CSPs’ Revenue Declaration Validation
Reconstitution and validation of CSPs’ revenue declaration based on collected xDRs:
- Collection and integration of the CSPs’ monthly revenue declaration.
- Reconstitution of the declaration using collected xDRs.
- Comparison and reporting of the differences.
Tax Reporting
Regulatory tax generation, based on processed xDRs:
- Generation of a telecom regulatory tax report per CSP based on the country’s telecom law and regulations
- Generation of reports on other direct and indirect state taxes (VAT, etc.)
Anomaly Detection for Traffic and Revenue KPIs
Automated anomaly detection using machine learning and AI, for traffic and revenue KPIs using, among others:
- Trend analysis and deviation.
- Forecast estimations and comparison.
- Alarm generation in case of deviation threshold bypass.
Dynamic Display of Traffic KPIs on GIS Map
Display of circuit and packet-switched traffic KPIs on GIS map:
- At the national level.
- Per province.
- Per territory
- At the street level
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