As of January 2019, there are almost 4.4 billion active internet
users, equivalent to57% of the global population.Β (We Are Social;
DataReportal; Hootsuite, 2019)
A major chunk of this data is generated by enterprises running
their internal or external applications or offering business services
like malls, hospitals, hotels, etc.
Ray classifies the data in two major types:
The enterprises require high performance and reliable networks. This involves finding resource hungry applications, non-compliant end users and rogue clients, among others. The IT practices of the past with manual monitoring and troubleshooting limits the speed and expanse of the modern enterprise. With the vast amounts of network data, Ray sees an opportunity to optimize the network, enhance the security, measure KPI, create automated workflows etc.
The businesses offering customer centric services like retail, hospitality, public services, etc. can benefit vastly from the intelligence offered by the Data Analytics. With the user data, Ray sees an opportunity to increase customer engagement, enable better targeting for enterprises and ISPs to increase revenue, optimize resource usage and planning, etc.
The AI driven Ray ONE β a modern, microservices driven cloud
with virtually unlimited scale combined with the Data Science
and event processing capabilities enable Ray to process the big
data and generate right Insights from the data.
Insights β It offers the modern enterprise, the capability to
catapult its digital transformation journey through the network
and business intelligence generated by Insights.
It does it while overcoming the challenges processing vast
amounts of big data from the network, users, and things.
Of all network devices, Wi-Fi is the medium of choice of humans and things to connect to the network. This data has always been available to sift through and generate intelligence, but the sheer size of the data had been deterrent to enable any analysis so far.
To know more about Ray Access Points and its features, talk to our Sales Team.
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