Guavus
Overview
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HQ Location
United States
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Year Founded
2006
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Company Type
Private
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Revenue
$10-100m
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Employees
51 - 200
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Website
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Company Description
Guavus has been built from the ground up to solve the world’s most complex data problems. Proven across Fortune 500 enterprises, Guavus provides the only operational intelligence platform that delivers an end-to-end, real-time view across business operations and currently processes over half a trillion records every day. The Guavus Reflex® operational intelligence platform correlates and analyzes massive petabytes of streaming and stored business, operational and sensor data from multiple, disparate source systems in real-time. The resulting “live” operational analytics are fed into a new generation of analytically-powered applications to address specific business problems for network, service Assurance & operations, marketing and the Internet of Things. These solutions, which can be embedded into automated workflows and business processes, make our customers more agile, competitive and profitable by transforming them into real-time, data-driven enterprises.
Built on top of the Guavus Reflex® platform, the company provides a wide range of products that address specific business problems related to network planning, service Assurance & operations, and marketing & monetization. Each application incorporates Machine Learning and predictive analytics that allow customers to rapidly realize business value from their data and in ways that were previously not possible.
Business and contextually aware Insights are displayed through powerful, and easy to use graphical dashboards that can be customized to suit specific and individual information requirements.
The Big Data analytics solutions, which leverage a grid-based computing architecture and is based on leading Open Source technologies including Hadoop, Apache Spark, and Yarn. The complete platform is made up of set up interconnected components including: collection nodes, compute nodes, UI nodes, and management nodes.
Built on top of the Guavus Reflex® platform, the company provides a wide range of products that address specific business problems related to network planning, service Assurance & operations, and marketing & monetization. Each application incorporates Machine Learning and predictive analytics that allow customers to rapidly realize business value from their data and in ways that were previously not possible.
Business and contextually aware Insights are displayed through powerful, and easy to use graphical dashboards that can be customized to suit specific and individual information requirements.
The Big Data analytics solutions, which leverage a grid-based computing architecture and is based on leading Open Source technologies including Hadoop, Apache Spark, and Yarn. The complete platform is made up of set up interconnected components including: collection nodes, compute nodes, UI nodes, and management nodes.
IoT Snapshot
Guavus is a provider of Industrial IoT platform as a service (paas), analytics and modeling, cybersecurity and privacy, and networks and connectivity technologies.
Technology Stack
Guavus’s Technology Stack maps Guavus’s participation in the platform as a service (paas), analytics and modeling, cybersecurity and privacy, and networks and connectivity IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
MNO Increases Ad Campaign Conversion Rate for Restaurant’s App by 7X using Guavus-IQ Analytics
A restaurant chain approached a Tier 1 mobile service provider to help launch a campaign sending messages to consumers’ mobile phones, encouraging people to download the restaurant’s free app. The messages were sent to large audience segments, created on the basis of standard demographic information, such as device type and age group of opt-in subscribers. However, the ad campaign was costly, as it was being sent to millions of mobile users, and was yielding poor results – about .6 app downloads per every 100 messages sent. The restaurant chain challenged the mobile operator to improve the conversion rate, agreeing to pay more for each download if the operator could better target their customers.
Case Study
MNO Offers Audience Measurement Service to Advertisers using Guavus-IQ Analytics
The marketing team of a leading Mobile Service Provider had a plan to offer advertising agencies target market insights to optimize their advertising ROI. They planned to gather subscriber analytics including demographic, geographic and behavioral statistics in an anonymous format, and offer this information to current and prospective advertising customers. However, due to the size of the network and volume of data that needed to be analyzed, the option of rolling out a deep packet inspection solution was extremely cost prohibitive and could not be done within the timeframe needed. The complexity of correlating content data with subscriber demographics and geographical location, put the marketing team’s initiative beyond reach.
Case Study
Leading North American MSO Uses Guavus-IQ Analytics to Accelerate Operations and Dramatically Reduce Costs
The corporation, a leading Multiple-System Operator in North America, was facing challenges with delayed problem resolution which was affecting customer satisfaction. The Operations Team was unable to identify the root of the problem and rapidly distinguish between customer premise problems and headend CMTS or video server issues. This led to unnecessary dispatch of technicians to homes, which often turned out to be a headend problem instead of an individual set-top box problem. This resulted in customer frustration and a negative impact on their Net Promoter Score.
Case Study
European MSO Slashes Operational Costs with Guavus-IQ Analytics
A European Multiple-System Operator (MSO) was struggling to rapidly distinguish between issues caused by customer premise devices and headend equipment. This delayed the MSO’s ability to find the root cause of problems and subsequently resolve the issues. With the cost of a truck roll in Germany running about 60 to 70 euros and the handling of incoming customer service calls running about 5 to 10 euros each, the provider hoped to reduce customer service costs and improve customer satisfaction at the same time.
Case Study
MNO Maximizes Campaign Performance for Advertisers using Guavus-IQ Analytics
The marketing team of a Mobile Network Operator (MNO) was struggling to build rich customer profiles to present relevant offers and ads to their subscribers. They needed to match individual preferences and browsing behaviors with subscriber IDs. Additionally, they needed to accurately categorize website URLs viewed with accuracy levels of 80% or greater. However, they were unable to achieve this with the software tools they had in place.
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