Predictive Failure Analytics

Internet of Things (IoT) technology in the retail industry enables
retailers and their suppliers or service providers with unprecedented
opportunities to collect, analyze and act on large data sets from physical
assets and applications employed in the selling of products and
services. Retail environments include many familiar edge of network
devices such as point of sale (POS) devices, credit card terminals and
kiosks but also relatively new platforms such as digital signage/digital
out of home (DOOH) networks.

By unlocking and aggregating previously disparate data from displays
in retail environments, the operators of these networks can leverage
the information now available to identify patterns indicative of a potential
service failure or system outage via predictive analytics and employ
proactive measures (preventative maintenance, initiate supply chain,
early warning system, etc.) to alleviate costly unplanned downtime
that interrupts revenue generation. In order to improve financial performance
while also maintaining critical uptime, network operators can
turn to IoT technology as a means to improve business outcomes and
profitability.

Click here to learn more about the Predictive Failure use case for DataV.

 

 

 

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