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Data Refinery

Turn your data into business value

Data Refinery (formerly Comptel Data Refinery) plays an important role in supporting the digital customer journey. It provides a layer of intelligent fast data to enable real-time decisions and actions. The software has the capacity to capture and process vast amounts of raw data in-stream.

As a totally vendor and technology service agnostic solution, Data Refinery captures data of any type and from any source, including social media, apps, connected devices, networks, locational data and services. It then refines that data with important contextual information and sends it on to any target business application – all in real time.

Additionally, Data Refinery hides all technical complexity between the network and OSS/BSS layers through a unifying processing layer.

  • Unify siloed data and refine it in real-time
  • 100% Reliable: You never lose a bit
  • Economical and scales to your business needs


Key benefits

Operate with excellence
Reliable, robust and resilient powerhouse for any type of data processing. Makes your data-driven operations run smoothly.

Integrate with freedom
Deal with the technology, vendor or OTT player of your choice: Data Refinery integrates to all environments with its over 1000 interfaces.

Data into a purpose
Refines fast raw data of any format and from any source into a purpose: to be stored, to be sent to the destination engine within milliseconds, to be visualized. Online, offline and hybrid data processing – all supported.

Web-scale automation
Data Refinery provides always-on, context-aware data intelligence cloud-readily across experiences, operations and networks for digital telcos. It brings web-scale automation and elasticity for data processing in service provider clouds.

Consolidate to control
Consolidate disperse and numerous systems silos and data centers even in multi-country deployments into a single point of control. Save massively on Total Cost of Ownership and operational costs.

Manage complexity
Manage exploding data loads with built-in complex event processing for the telco and enterprise. Hides the technical complexity between the network and OSS/BSS layers through a unifying processing layer. Communicates northbound and southbound.

Build data streams
Build & manage data streams with an easy to use UI. Select how to capture & refine and where to send the data. Online, offline or in batches.

Expand beyond telco
Naturally expands to data integration, digital service monetization and real-time customer engagement beyond the telco domain.

Deploy to ground or cloud
Supports traditional and hybrid hardware deployments or cloud for added agility, new business models and new revenue streams.


Key features

  • 1000+ intefaces
  • Online/real-time and offline data processing
  • Convergent mediation
  • Enterprise data processing
  • Roaming management with GSMA standards
  • Support for cloud business models
  • Support for virtual networks
  • Automated mass correction of suspended data
  • Ready-made development and testing environment for building new streams and nodes
  • Automated deployments, distributable data processing and elastic scalability

Customer Cases

Total Cost of Ownership Efficient Consolidation
Consolidation of point mediation systems into one single platform

Multi-CSP Data Center
CSP group-wide mediation consolidation across different countries

Roaming Management
Roaming billing (TAP/RAP) and Fraud (NRTRDE) processing with RAEX and partner agreement management support

Complex Event Processing
Real-Time Data ingestion, analysis, correlation, time-windowing, triggers, enrichment

IoT Mediation
Solution expands to other industries, such as smart grid electricity network solutions

LTE/IMS Mediation

Over-The Top
Mobile Marketplace purchase event processing and charging from prepaid/postpaid accounts

Diameter/Online Charging Proxy
Mediation processes charging requests/transactions online

Cloud Mediation
Mediation delivered as Software-as-as-Service in the cloud, Virtualization

Cloud Charging
Charging of cloud service (IaaS/SaaS) events

  • TCO savings when replacing legacy systems

  • Time-to-market when replacing legacy systems

  • Global customers

  • Customers with >1B xDRs daily

  • Of world’s mobile usage data handled

  • Of data processed daily in single CSP environment