Heksagon Commercial Telecom Analytics Solution
Stop guessing about interconnect profitability. Know exactly where you make money, where margins compress, and which partnerships drive value in real time.
Transform Data Into Commercial Intelligence
Traditional reporting shows what happened weeks ago. By the time you discover margin erosion on specific routes, unprofitable customer relationships, or commitment under-delivery, thousands of calls have already generated losses. Financial teams reconcile partner invoices manually, commercial managers lack visibility into which deals actually perform, and routing decisions get made without understanding their profit impact.
Heksagon's Commercial Analytics delivers financial truth in near real-time. Match buy and sell traffic at CDR level to calculate exact margins per call, carrier, and destination. Track commitment fulfillment against targets automatically. Reconcile partner invoices against internal data with discrepancy detection. The result: commercial decisions based on actual profitability data, not assumptions, enabling you to protect margins before they erode.
Heksagon Commercial Analytics Features
Commercial Analytics transforms financial data from historical reporting into forward-looking intelligence, enabling proactive margin protection, partnership optimization, and strategic decision-making across all interconnect relationships.
Profitability & Margin Intelligence
Calculate exact profit margins by matching incoming and outgoing traffic at individual call level. Track margin performance by carrier, destination, customer segment, and time period. Identify negative margin situations instantly where selling prices fall below termination costs. Analyze margin trends detecting compression before it impacts bottom line.
Commitment & Agreement Tracking
Monitor volume commitment fulfillment status in real time showing actual vs. target volumes. Project completion dates based on current traffic patterns identifying under-delivery risks early. Track tiered pricing thresholds and bilateral deal balances automatically. Generate partner scorecards showing contract compliance and financial performance.
Invoice Reconciliation & Validation
Compare partner invoices against internal traffic data at summary, destination, or CDR level. Flag discrepancies exceeding configured thresholds for immediate investigation. Generate reconciliation reports showing exactly which destinations or calls differ. Export evidence files for partner dispute resolution.
How Heksagon Commercial Analytics Works
Commercial Analytics operates as your financial intelligence layer, continuously matching traffic flows with pricing data to calculate profitability while providing the transparency needed for confident commercial decisions.
Margin Calculation & Monitoring
- Matched Traffic Analysis: System correlates incoming and outgoing calls at CDR level using call identifiers, timestamps, and session parameters. Applies actual buy and sell pricing from Intelligent LCR and Billing Process to calculate per-call margin. Aggregates across carriers, destinations, and products for comprehensive profitability view.
- Real-Time Alerting: Threshold monitoring detects margin compression, negative margin routes, and profitability degradation automatically. Alerts trigger when margins fall below configured levels, enabling immediate routing adjustments through Smart Routing before losses accumulate.
Financial Reporting & Reconciliation
- Commercial Reporting: Pre-built report templates analyze traffic costs, revenues, and margins across multiple dimensions. Track financial performance trends over time, compare actual vs. budgeted numbers, and identify top/bottom performing partnerships. Export to Excel, PDF, or integrate with corporate BI tools.
- Reconciliation Workflow: Import partner invoices in multiple formats, automatically compare against internal calculations, and generate variance reports highlighting discrepancies. Drill down to CDR level to identify specific call mismatches. Feed findings to [Dispute Management](link) for efficient resolution.
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Frequently Asked Questions
How does CDR-level margin matching work when traffic is asymmetric?
The system uses intelligent correlation logic including session identifiers, number pairs, and temporal proximity to match related calls. When direct matching fails, estimation algorithms apply routing logic and historical patterns. Reports clearly distinguish calculated margins (matched traffic) from estimated margins (unmatched traffic) for transparency.
Can Commercial Analytics detect margin issues before they impact billing?
Yes. Real-time processing with 15-minute refresh intervals means margin compression is detected hours after it begins, not weeks later when invoices are finalized. Automated alerts notify commercial teams immediately when margins fall below thresholds, enabling proactive routing adjustments or rate renegotiations before losses accumulate.
How does reconciliation handle differences in destination naming between partners?
The system maps partner destination structures to internal Template Destination Tables during invoice import. This normalization allows accurate comparison even when partners use different country groupings, destination names, or prefix breakdowns. Unmapped destinations flag for manual review ensuring complete reconciliation coverage.
What reporting is available for commitment performance analysis?
Built-in reports show fulfillment percentage, remaining volume, projected completion dates, and variance from planned trajectory. Traffic distribution analysis reveals which routes consume commitment volumes. Profitability analysis shows whether commitment pricing delivers target margins. Forecasting projects whether commitments will complete on schedule based on trending.
Can analytics identify which customer relationships are actually profitable?
Absolutely. Customer profitability analysis matches selling prices against actual termination costs accounting for routing decisions, volume discounts, and commitment pricing. Reports rank customers by margin contribution, identify unprofitable relationships requiring rate adjustments, and show revenue concentration risks when few customers drive most profit.
How does the system handle reconciliation when partners send incomplete data?
Reconciliation logic identifies missing data patterns, whether entire destinations are absent, specific date ranges are missing, or volume totals are incomplete. Variance reports highlight these gaps separately from legitimate discrepancies, enabling targeted information requests to partners. Partial reconciliation proceeds for available data while flagging gaps for resolution.
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