Revenue Assurance Solutions

Argyle Data’s machine learning analytics provide real-time insights into mobile network traffic patterns.

Revenue Assurance Analytics
OTT Analytics

Argyle Data’s revenue assurance applications combine big data machine learning capabilities with a data detection engine, in real time decoding protocols within each packet sent over the data network. Capable of differentiating between voice, video, and messaging as well as file transfers within each application, our applications provide CSPs with unprecedented, granular insights into OTT traffic and network usage, allowing them to develop strategies to support revenues, monetize emerging applications, and build future networks.

Benefits of Argyle Data over existing revenue assurance solutions:

  • Subscriber-aware machine learning platform enables operators to drill down to a granular level of usage, call history, and associated customer profile
  • Real-time traffic analysis of 10GB, 40GB, and 100GB traffic
  • Data is processed in near real time using a data lake built on a Hadoop infrastructure, combining multiple data sources into one location

Visibility into OTT usage is evolving into a critical requirement for CSPs.

Mobile Traffic Analytics in Revenue Assurance:
Real-Time Data Detection for Actionable Insights

The process of revenue assurance depends on accurate analysis of the data flowing through an organization’s network. For CSPs, the volume and speed of data crossing telecommunications networks challenges traditional analytics methods; yet this data must be analyzed in order to yield actionable insights. With the emergence of OTT and other digital applications, it is more necessary than ever for CSPs to ensure that their revenue assurance strategies are robust, timely, and effective.

Why use Argyle Data?

Argyle Data’s revenue assurance application provides Communications Service Providers (CSPs) with advanced traffic analytics offering real-time, granular insights into traffic patterns. Argyle Data’s supervised and unsupervised machine learning approach culls data from multiple sources, giving CSPs unprecedented insights into network usage, even down to the individual subscriber level. This allows them to develop strategies to support revenues, monetize emerging applications, and build future networks.

Benefits of our machine learning approach:

Argyle Data’s revenue assurance applications allow operators to analyze their network traffic in granular detail and create cost-efficient strategies including:

  • Identifying least cost routes, enabling selection and adjustment according to changing criteria
  • Streamlining code management to protect carriers from overlap or error and improve QoS
  • Customizing rates to protect margins according to varying criteria, and quickly broadcasting rate changes to partners
  • Real-time monitoring and analysis of rate and code data, delivering operational intelligence supporting immediate and future decision making

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Solution Brief: Revenue Assurance Solutions

Free, IP-based apps like Whatsapp, Skype, WeChat, and Viber deprive mobile carriers of termination fees while heavily using their data networks.

Real-Time OTT Traffic Analytics:
Granular Insights Empower Operators to Compete with Free IP Apps

Mobile subscribers are increasingly turning to free, IP-based apps like Whatsapp, Skype, WeChat, Viber, and others for messaging, voice calls, and video chat. Mobile carriers are seeing reduced termination fees from traditional talk and text services, while experiencing sharply increased – but unpaid – use of their data networks. Faced with network planning and revenue protection issues, operators need accurate insights into which OTT services are being used on their network, the amount of bandwidth each app consumes, the type of traffic created, and which users consume the most data.

Why use Argyle Data?

Argyle Data’s OTT analytics application provides operators with granular visibility into OTT traffic, enabling them to build successful strategies to monetize, market, and compete with free IP apps. The application is subscriber-aware, enabling operators to drill down to a granular level of usage, allowing them to pinpoint categories or individual power users for targeted campaigns.

Benefits of our machine learning approach:

For the first time, CSPs can rely on real-time data for network, financial, and marketing planning. Argyle Data’s application combines our big data machine learning capabilities with a data detection engine that:

  • Decodes known protocols within each packet sent over the data network
  • Differentiates between voice, video, and messaging as well as file transfers within each application
  • Provides detailed analysis of biggest consumers across customizable parameters
  • Analyzes usage down to individual call history data and associated customer profile
  • Insights are provided via intuitive dashboards and visualizations for rapid interpretation and action

Want to Learn More?

Solution Brief: OTT Analytics

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