cVidya Harnesses Hadoop Technology to Cut Costs and Enable New Capabilities

Cost effective big data solution can process and analyze billions of transactions to generate valuable new insights

(PresseBox) ( Herzliya, )
cVidya, a leading provider of Revenue Analytics solutions for digital and communications service providers (CSPs), today announced support for the Hadoop platform, which enables cost-effective processing of very large data sets in a distributed computing environment.

By harnessing the increasingly mature Hadoop technology, cVidya is making it viable for new and existing customers to dramatically expand their Fraud Management, Revenue Assurance and Marketing Analytics capabilities. Moreover, the new solution is very cost-effective: By reducing the need for conventional data warehouses, cVidya estimates that Hadoop could enable customers to cut their hardware licensing costs by approximately 70%.

cVidya's support for Hadoop means it will be feasible for service providers to process and analyze both structured and unstructured data going back several years, rather than just a few months, enabling them to gain a better understanding of the behavior of customers. Hadoop can also enable data analysis at a very granular level in real-time, yielding more insights and sophisticated new algorithms that can be applied to detect fraud, prevent revenue leakage and identify opportunities to cross-sell and up-sell products and services.

cVidya is enabling customers to harness Hadoop in two ways. Depending on whether a digital or communications service provider is already using the open source framework, cVidya can supply a full solution, including the necessary hardware and software, or it can supply an interface into a customer's existing Hadoop solution. cVidya customers are already piloting the technology in both modes.

"We see the distributed computing capabilities of Hadoop as a game changer for Fraud Management, Revenue Assurance and Marketing Analytics," said Alon Aginsky, President and CEO of cVidya. "By making it cost-effective to analyze data from many different sources on a massive scale, we are essentially enabling digital and communications service providers to do more for less, thereby boosting profitability."
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