cVidya Announces New Big Data Capabilities for Improved Results of Telecoms Analytics and Business I

New capabilities bring the power of Big Data to its pricing analytics application for Next-Best-Offer recommendation

 

Athens, April 30, 2012  –  cVidya Networks, (www.cvidya.com) a global leader and innovative provider of Business Intelligence and Analytics Solutions for Revenue Intelligence for Telecom, Media and Entertainment service providers, announced today the addition of new capabilities for its IRIS and cVidyaCloud suites which enable CSPs to monitor and analyze data on a massive scale over distributed architecture for parallel processing to help maximize the value of telecoms big data. The announcement was made at cVidya’s 2012 user conference in Athens earlier this month.

 

Using these new capabilities, cVidya brings the power of Big Data to its pricing analytics application for Next-Best-Offer recommendation. OfferAdvisor, which is already deployed at leading operators, enables marketing managers and retention teams to offer the optimal offer or price plan to help decrease the retention costs of existing subscribers as well as identify up-sell and cross-sell opportunities. With these new capabilities, cVidya’s OfferAdvisor is a unique Next-Best-Offer application that analyzes structured data (such as actual subscriber usage) and unstructured or semi-structured data types (such as log files, clickstreams and text from e-mails) with new data sources to be added to the application capabilities in the coming months. Consequently, OfferAdvisor has an even more powerful and accurate recommendation engine, taking into account churn risk, ability to match price plans, and add-ons based on customer preferences and behavior (e.g. sport add-on for sports fans and one month of free audio books for commuters).

 

“In today’s ever-changing, highly competitive and complex environments, BI & Analytics applications for Revenue Intelligence have never been more important. With the Social and Mobile waves well underway, subscribers will generate petabytes of multi structured data (a.k.a. ‘Big Data’) through mobile applications which is rich with information but difficult to analyze,” commented Lauren Robinette, Principal Analyst at ACG Research. “With cVidya’s new Big Data capabilities, CSPs can analyze massive amounts of data coming from both traditional and new data sources. This allows service providers to increase revenue and improve margins by deriving better and more accurate insight from their fraud management, revenue assurance and pricing analytics solutions.”

 

“cVidya’s applications regularly monitor and analyze billions of events and petabytes of data coming from multiple data sources deployed both on premises or over public or private cloud environments,” said Alon Aginsky, president & CEO of cVidya Networks. “By linking new data sources with traditional data, and by leveraging proprietary and open source Big Data technologies for distributed architecture for parallel processing, cVidya is ideally positioned to leverage this big data wave for the benefit of its customers.”

 

OfferAdvisor not only provides the optimal offer, but does it cost effectively, by leveraging cloud and Big Data architecture for distributed and parallel processing, combining proprietary and open source technologies such as Hadoop. OfferAdvisor, as a cVidyaCloud application, is available via the web for a monthly subscription fee, without the need to own, install and operate any hardware or software. It requires minimal internal support in terms of setup, upgrades or on-going operations, allowing service providers to focus their resources on their core competencies.