Heksagon Active Revenue Assurance
Transform revenue protection from reactive sampling to proactive intelligence through near-real-time reconciliation, visual scenario design, and automated case management.
Proactive Revenue Protection for Complex Telecom Networks
Traditional revenue assurance processes sampling 5-10% of transactions takes weeks to detect discrepancies, allowing losses to accumulate silently. By the time billing errors, rating mistakes, or settlement discrepancies are discovered, millions may already be lost.
Heksagon's Active Revenue Assurance delivers comprehensive protection through near-real-time reconciliation of all transactions.
Heksagon Active Revenue Assurance Features
Our platform empowers you to create sophisticated matching scenarios without technical expertise, automatically detecting mismatches, duplications, and missing records within minutes.
Visual Scenario Builder
Drag-and-Drop Designer: Intuitive web-based interface enabling business analysts to create complex reconciliation workflows without coding. Select data sources, define correlation parameters, configure thresholds, and specify actions with ease.
Multi-Phase Processing: Configurable workflow stages including filtering, correlation, aggregation, case detection, and automated response triggering. Each phase is customizable through point-and-click interfaces.
Flexible Matching Logic: Support for pattern filtering, regular expressions, wildcard searches, list-based verification, and field-to-field comparisons. Enable precise correlation criteria tailored to specific assurance requirements.
Dual-Stream Reconciliation Engine
- Multi-Source Correlation: Simultaneous processing of two independent data sources with intelligent matching based on any CDR/xDR parameter combination (A/B numbers, timestamps, session IDs, IMSIs, transaction IDs).
- Configurable Tolerances: User-defined thresholds for timestamp variations, duration differences, and volume discrepancies accommodating legitimate processing delays while maintaining detection sensitivity.
- Record-Level Precision: Individual transaction correlation ensuring maximum accuracy across billions of records. Effectively detect missing records, partial matches with parameter discrepancies, duplications, and source-unique entries.
Near-Real-Time Analytics
- 5-15 Minute Refresh Cycles: Configurable processing intervals balancing detection speed with system resources. Aggregation schedules optimized for operational responsiveness without overwhelming analysts.
- Sliding Window Analysis: Continuous monitoring of recent transaction streams detecting emerging patterns and anomalies before they escalate into significant revenue impact.
- Threshold-Based Alerting: Automatic notifications via email, SMS, or SNMP when mismatches exceed severity-weighted thresholds. Escalation workflows route critical cases to appropriate teams instantly.
Root Cause Analytics
- Dimensional Drill-Down: OLAP-based analysis enabling navigation from high-level mismatch summaries through intermediate aggregations (by time period, network element, partner, service type) all the way to individual CDR records.
- Pattern Recognition: Statistical analysis identifying common denominators in unmatched transactions: specific prefixes, destinations, time windows, or configuration parameters revealing systematic issues versus random failures.
- Integrated Dashboards: Single-screen presentations positioning key reconciliation metrics with automatic refresh. Show success of remediation activities over selectable time periods through trend visualization.
How Heksagon Active Revenue Assurance Works
Active Revenue Assurance orchestrates an intelligent reconciliation pipeline that continuously monitors service usage data from collection through billing settlement. The platform processes dual data streams, correlates transactions based on configurable business rules, and surfaces actionable insights through integrated analytics, all while maintaining carrier-grade performance.
Active RA Architecture
Our modular architecture is designed for high-volume transaction processing and real-time responsiveness. It ingests service usage data from diverse sources voice, SMS, data, roaming, and VAS. Then applies configurable reconciliation logic to detect mismatches instantly. By operating outside the main database load, the system maintains high throughput and minimal latency, even in multi-vendor networks.
Dynamic Scenario Configuration
Unlike static assurance tools, Heksagon enables operators to define and customize RA scenarios through an intuitive graphical editor. This flexibility allows you to:
- Configure correlation criteria across any CDR/xDR parameter (duration, volume, IMSI, MSISDN, timestamps).
- Set thresholds for anomaly detection based on business rules.
- Trigger automated actions for detected discrepancies, such as notifications or data exports.
Multi-Source Reconciliation
The platform performs automatic matching of CDRs/xDRs from multiple sources, including:
- Network elements (MSC, SGSN/GGSN)
- Mediation systems
- Prepaid and postpaid billing platforms
- Roaming TAP files and partner settlement systems
- Matching is rule-based and fully configurable, ensuring accurate detection of mismatches, missing records, and parameter deviations.
Automated Alerting & Workflow
More than just issue detection: Heksagon offers resolution acceleration.
- Severity-based alerts via SMS, email, or system integration.
- Escalation workflows to route cases to the right teams.
- Integration with ticketing systems for end-to-end case management.
Advanced Analytics & Root Cause Analysis
Our Root Cause Analysis engine provides deep visibility into discrepancies:
- Drill down from high-level dashboards to individual CDR records.
- Identify systematic issues versus isolated failures.
- Monitor resolution trends and measure assurance effectiveness over time.
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Frequently Asked Questions
What makes Active Revenue Assurance "active" versus traditional approaches?
Active Revenue Assurance processes 100% of transactions in near-real-time (5-15 minutes) versus traditional sampling methods reviewing 5-10% of data weeks after occurrence. The drag-and-drop scenario builder empowers business analysts to create and modify reconciliation rules instantly without waiting for IT resources. Automated case generation, threshold-based alerting, and integrated analytics enable immediate response to revenue-impacting discrepancies rather than discovering losses during monthly audits.
Can non-technical users really create reconciliation scenarios?
Absolutely. Our visual scenario designer uses intuitive drag-and-drop workflows where users select data sources from dropdown menus, choose matching parameters through checkboxes, configure thresholds with sliders, and specify actions through forms without coding or scripting knowledge. Pre-built templates accelerate common use cases while custom scenarios address unique requirements. Users report creating their first production scenario within hours of training.
How does the solution handle complex matching requirements?
The platform supports sophisticated correlation logic including multi-parameter matching (correlate on A-number AND B-number AND timestamp), tolerance ranges (match timestamps within ±30 seconds), pattern matching (prefixes, wildcards, regular expressions), list-based verification (blacklists, whitelists), and field-to-field comparisons. Multiple filtering blocks can be stacked with include/exclude modes creating arbitrarily complex conditions, all of which can be configured through graphical interfaces.
What types of discrepancies can Active Revenue Assurance detect?
The solution identifies missing records (present in primary source, absent in secondary), duplicate records (multiple copies inflating volumes), partial matches (records correlate but key parameters differ: duration, volume, pricing), formatting inconsistencies (data structure violations), enrichment failures (missing mediation additions), and volumetric anomalies (aggregated totals mismatch between sources). Root cause analytics pinpoint whether issues are systematic or isolated.
How quickly can discrepancies be investigated?
Root Cause Analysis provides immediate drill-down from high-level dashboard alerts through dimensional breakdowns to individual CDR records typically within seconds. Pattern recognition algorithms automatically identify commonalities among mismatched transactions (common network element, time window, partner, service type) revealing systematic issues. Integration with ticketing systems enables one-click case creation with full context for technical teams.
Does Active Revenue Assurance replace our existing reconciliation processes?
The solution typically augments rather than replaces existing processes. Many operators deploy Active Revenue Assurance for critical high-value streams (interconnect, roaming, premium services) while maintaining legacy processes for lower-priority areas during transition. The platform's flexibility supports phased implementation. Start with specific use cases demonstrating ROI, then expand coverage systematically. Over time, comprehensive automation often enables full replacement of manual reconciliation.
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