Heksagon Service Data Assurance
Ensure complete revenue capture through continuous validation, multi-source reconciliation, and automated discrepancy detection.
Prevent Revenue Leakage in Service Data
Operators lose 1–5% of revenue due to mediation failures, format inconsistencies, and processing gaps. For large MNOs, this translates into millions in unrecovered revenue. Beyond financial impact, incomplete data undermines fraud detection, partner settlements, and customer trust. Our platform continuously validates service usage data across all network elements, mediation systems, and billing platforms. By doing so, it helps you detect missing, duplicate, or malformed records before they hit your bottom line.
Service Data Assurance Features
Built for high-volume, multi-vendor environments, Heksagon combines advanced correlation algorithms, flexible integration, and near-real-time alerting to deliver industry-leading assurance.
Multi-Source Data Collection
- Ingests CDR/xDR from MSCs (voice/SMS), SGSN/GGSN (data), TAP files (roaming), prepaid/postpaid billing, mediation servers, and VAS platforms.
- Supports all standard and proprietary formats (ASCII, ASN.1, TAP, NRTRDE, RADIUS, DIAMETER).
Intelligent Correlation
- Configurable matching on A/B numbers, timestamps, IMSIs, session IDs.
- Tolerance thresholds for time-shifted records and parameter variations.
Automated Discrepancy Detection
- Missing record identification across network and downstream systems.
- Duplicate detection preventing inflated volumes and billing errors.
- Volume reconciliation ensuring aggregated totals match across systems.
Quality Assurance
- Real-time format validation and mandatory field checks.
- Business logic verification for service type, duration, and location.
- Enrichment validation for pricing zones and partner IDs.
How Heksagon Service Data Assurance Works
Heksagon operates as an independent monitoring layer between network and revenue systems, validating data in near-real-time.
High-Level System Architecture
Architecture & Performance
- Handles 500M+ daily transactions with 5–15 min refresh cycles.
- Modular design minimizes database load while enabling record-level and volumetric analysis.
Operations & Usability
- Secure integration via FTP/SFTP, SSH, DB links, SOAP/XML.
- Custom parsers for proprietary formats, preventing vendor lock-in.
Economics & Compatibility
- Deployable across legacy TDM, VoLTE, and 5G networks.
- Designed to streamline reconciliation processes and reduce operational overhead.
Use Cases
- Voice/SMS/data reconciliation.
- Roaming TAP/NRTRDE validation.
- VAS and content provider settlement assurance.
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Frequently Asked Questions
What data sources can Heksagon’s Service Data Assurance validate?
The solution validates any source generating usage records including circuit-switched MSCs, packet-switched SGSN/GGSN nodes, IMS/VoLTE platforms, SMS centers, roaming TAP files, prepaid charging systems, postpaid billing platforms, mediation servers, interconnect switches, and value-added service platforms. Custom parsers handle proprietary formats from any vendor.
How does the near-real-time validation work?
The platform continuously collects raw CDRs directly from network elements while monitoring mediation outputs. Processing occurs with configurable refresh periods (typically 5-15 minutes) allowing time-shifted record correlation. Intelligent matching algorithms account for processing delays while maintaining detection speed that prevents significant loss accumulation.
Can the solution detect specific types of data loss?
Yes. The platform identifies missing records (present in source, absent downstream), duplicate records (multiple copies causing errors), partial records (incomplete data fields), format errors (structure violations), enrichment failures (missing mediation additions), correlation failures (unmatched session components), and volume discrepancies (aggregate mismatches between systems).
How are discrepancies investigated and resolved?
Root Cause Analysis capabilities drill down from high-level alerts through dimensional breakdowns to individual CDR records. Pattern recognition identifies whether issues are systematic (configuration errors, interface failures) or isolated (random processing glitches). Integration with ticketing systems enables workflow automation for issue tracking, resolution, and verification.
How Heksagon handles false positives from legitimate timing differences?
Configurable tolerance thresholds on timestamps, durations, and volumes accommodate normal processing variations. Intelligent correlation logic understands time-shifted records, buffering delays, and multi-stage processing. Machine learning algorithms tune thresholds based on historical patterns, continuously improving accuracy while maintaining sensitivity to genuine issues.
Is Service Data Assurance suitable for multi-vendor environments?
Absolutely, we have successfully deployed our solution across networks mixing legacy TDM switches, modern VoLTE infrastructure, and cloud-native 5G core implementations. The flexible integration framework supports heterogeneous networks with equipment from multiple vendors, diverse mediation platforms, and various billing systems. Format-agnostic processing normalizes disparate data structures enabling cross-vendor reconciliation.
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