Comptel: Can It Pump Data Refinery to Oil Operator Big Data Objectives?

Ron Westfall
Ron Westfall

Summary Bullets:

• Comptel, with its new big data refinery approach and data mediation technology, Comptel EventLink 7.0, targets operator objectives to enrich and link their vast data stores to intelligent data streams with actionable, real-time capabilities.

• Comptel needs to address how open source big data standards, such as Apache Spark, relates to its data refinery proposition, as well as how it can enable operators to uphold in-country data regulations.

Comptel unveiled its data refinery concept to support the release of its big data mediation product, Comptel EventLink 7.0, designed to cultivate intelligent data streaming. The Compel data refinery approach advocates operators use updated data mediation technology to validate and refine raw, historical and real-time data into operational and business intelligence. Combined with reporting and machine-learning capabilities, data refinery aims to improve the efficiency and actionable range of operator back-office applications such as real-time network and service monitoring and proactive QoS maintenance.

With Comptel contending against a wide range of big data analysis (BDA) solutions, how does it plan to differentiate and advance its data refinery concept and Comptel EventLink 7.0 product line?

Global Data Mediation Channels: Comptel claims over 150 customers use its EventLink data mediation technology, including the processing of more than 20 percent of the world’s mobile data. Comptel pointed to Telefonica Movistar Argentina recently adopting its new EventLink 7.0 product for data refinery applications. The vast data mediation channels already in place reduce the sales cycles Comptel requires to drive operator adoption of its data refinery approach.

Substantial TCO Savings: Comptel cites it has delivered mediation consolidation projects to over 70 operators on a global basis yielding total cost of ownership (TCO) savings typically in the 50 to 80 percent range. Operators need to validate that the big data mediation upgrade to the EventLink 7.0 product can sustain equivalent TCO savings. Regardless the Comptel TCO claims provide further incentive for operators to at least explore and test its data refinery approach, albeit giving rivals a tangible TCO savings data range to explicitly challenge.

Stream Designer Tool: Comptel integrated the Comptel Stream Designer tool into the EventLink 7.0 release with the goal of enabling operators to design data streams according to their operational context. The tool targets easing operator adoption of data refinery apps by making the user interface and experience intuitive and simple.

As Comptel sells and markets its data refinery proposition further into the operator channels, what are the key concerns and barriers and the company needs to address?

Open Source Support: Curiously Comptel did not include support for emerging BDA standards, such as Apache Spark, that could bolster the open source credentials of its data refinery approach. Since Spark is purpose-designed for machine learning and data streaming apps, Comptel needs to link its data refinery proposition with the standard. Otherwise it should address how Spark relates (or does not relate) to its data refinery initiative and how the Event Link 7.0 solution aligns with operator priorities to use Spark for data refinery and mediation processes.

In-Country Data Restrictions: Comptel needs to address how its data refinery proposition can aid operator compliance with in-country data residency requirements. One major barrier slowing operator application of BDA technology to a wider range of business objectives relates to in-country regulations such as restrictions on personal data storage. Comptel needs to show how its data refinery proposition can streamline operator compliance with in-country personal data storage restrictions and other data networking regulations.

Overall Comptel possesses the big data mediation portfolio and channels to advance operator objectives in using data refinery applications to apply and monetize their vast data assets more effectively. However Comptel needs to bolster its data refinery messaging by rapidly including its open source and data regulatory compliance credentials to assuage key, ongoing operator concerns and pre-empt likely rival challenges.

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