|By Marketwired .||
|June 30, 2014 08:05 AM EDT||
SAN MATEO, CA -- (Marketwired) -- 06/30/14 -- Guavus, a leading provider of big data analytics solutions for operational intelligence, today unveiled Reflex 2.0 with support for Apache Spark and Hadoop YARN. The Guavus Reflex Operational Intelligence Platform provides a real-time analysis across business and operations for better quality decision-making. The latest version of Reflex expands the ability from batch processing to true continuous analysis at scale from multiple sources and systems including data from billing, CRM, OSS, network, applications, devices and cloud to provide an end-to-end understanding of complex systems.
Reflex 2.0 continuously correlates, fuses and analyzes data streams with data at rest in silos to provide customers with a 360-degree view of what's going on in their network. In addition, Reflex supports virtualized and elastic architectures for maximum scalability. The updated platform, which leverages an open source analytics core including Hadoop, Spark and YARN technologies, is integrated with a new class of high value, analytically powered solutions for network operations, marketing, care and security. These solutions, which have data science built in, are pre-integrated and are tailored with specific business problems in mind. The solutions are based on streaming analytics, so users are always assured of getting the most current data for real-time business decision-making.
With the addition of Spark and YARN, Guavus fundamentally changes the way enterprises use data to become real-time data-driven enterprises. By analyzing data as it arrives within milliseconds of when it hits the network and within the context of other events in the enterprise, Guavus customers can trigger immediate actions and improve decision-making. For example, businesses can:
- Monitor and identify the root cause of anomalous events in their network, and make adjustments or take action as it's happening to improve customer experience
- Develop solutions that can be embedded into workflows and business processes to improve CAPEX/OPEX efficiencies
- Identify and prevent fraudulent activity in the network as it happens
- Create highly targeted, personalized marketing mobile ad campaigns based on subscriber activities
"With these significant enhancements to our operational intelligence platform, Guavus continues to set the standard for big data-powered operational intelligence," said Anukool Lakhina, CEO and Founder, Guavus. "In today's hyper connected world, data continues to grow exponentially from an ever increasing variety of data sources. Enterprises require multi-dimensional analytics insights across their businesses that will improve CAPEX and OPEX, and enable better quality business decision-making that simply isn't possible with today's architecture and traditional analytics solutions. With Reflex, we transform our customers into real-time data-driven enterprises, making them more agile, competitive and profitable."
Guavus is a big data analytics company ushering in a new class of decisioning applications for service providers and enterprise customers. The company offers an operational intelligence platform integrated with a suite of decisioning applications for network planning and operations, marketing, security and customer care. The world's most data-intensive companies trust Guavus to help them take strategic advantage of their data assets to grow revenue, improve operating efficiencies and delight customers in new ways. The company counts 4 of the top 5 mobile network operators, 3 of the top 5 Internet Backbone providers, as well as 80% of cable MSOs in North America as customers. It currently analyzes more than 50% of all US mobile data traffic and processes more than 2.5 petabytes of data per day.
For more information, visit www.guavus.com.
415.963.4174 ext. 3
Dec. 2, 2016 05:15 PM EST Reads: 303
Dec. 2, 2016 05:00 PM EST Reads: 4,057
Dec. 2, 2016 04:45 PM EST Reads: 2,088
Dec. 2, 2016 04:45 PM EST Reads: 1,954
Dec. 2, 2016 04:15 PM EST Reads: 313
Dec. 2, 2016 04:15 PM EST Reads: 283
Dec. 2, 2016 04:01 PM EST Reads: 219
Dec. 2, 2016 04:00 PM EST Reads: 1,854
Dec. 2, 2016 03:45 PM EST Reads: 626
Dec. 2, 2016 03:30 PM EST Reads: 3,182
Dec. 2, 2016 03:15 PM EST Reads: 1,440
Dec. 2, 2016 02:15 PM EST Reads: 1,510
Dec. 2, 2016 02:00 PM EST Reads: 4,818
Dec. 2, 2016 01:30 PM EST Reads: 5,690
Dec. 2, 2016 01:30 PM EST Reads: 1,805