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.

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.

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.

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.)

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.

Display of circuit and packet-switched traffic KPIs on GIS map:

• At the national level.
• Per province.
• Per territory
• At the street level