01Multi-Source Collection
Collect EDRs and CDRs from MSC, GGSN, PGW, SMSC, IMS, VAS platforms, roaming systems, probes, application platforms, and other network or IT sources. Interfaces can include SFTP/FTP, file systems, databases, message brokers, Kafka, HTTP APIs, and other required protocols.
02Decoding and Format Transformation
Decode and transform standard or proprietary records into consistent downstream formats. We support text, CSV, fixed-width, JSON, XML, Avro, and binary telecom formats through NiFi record processing, scripts, and purpose-built extensions where required. ASN.1 or vendor-specific decoding can be implemented with custom processors and controlled external libraries.
03Validation, Filtering, and Duplicate Control
Apply structural and business-rule validation, filter irrelevant events, identify malformed records, and detect duplicates before they reach billing or analytics systems. Invalid or incomplete events are routed to controlled exception paths rather than silently discarded.
04Enrichment and Normalization
Enrich events with subscriber, product, network, location, roaming, numbering-plan, tariff, or reference data. Normalize fields and identifiers into a canonical event model so multiple network technologies can feed common downstream processes.
05Aggregation and Correlation
Combine related events, aggregate usage where required, and correlate records across files or sources. Pipelines can be designed for conventional offline mediation as well as near-real-time event delivery, according to the operational and business requirements of each use case.
06Reliable Routing and Delivery
Route processed events to multiple destinations based on configurable rules. NiFi queues, prioritization, back pressure, retries, and persistent repositories help protect downstream systems from overload and allow processing to recover safely after service interruptions.
07Error Handling, Replay, and Reconciliation
Quarantine failed records with clear error reasons, maintain dedicated correction and resubmission paths, and support controlled replay after a rule or data issue is resolved. Input, output, rejection, and sequence controls can be reconciled to help identify missing, duplicated, or undelivered events and reduce revenue leakage.
08Data Provenance and Auditability
Track how data entered the platform, which transformations were applied, where it was routed, and whether delivery succeeded. NiFi data provenance provides a strong operational basis for troubleshooting, audit, lineage analysis, and selective replay, subject to the configured retention policy.
09Retention and Archiving
Define lifecycle policies for raw input, processed output, rejected records, provenance data, and operational logs. We design online and archive retention according to capacity, audit, regulatory, reconciliation, and recovery requirements.