Rentokil adopts Qlik Sense analytics platform

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January 19, 2017

Photo: ©iStock.com/GlobalP

Photo: ©iStock.com/GlobalP

Rentokil Initial is using the Qlik Sense analytics platform to gain better insights from its product and global company operations data, Qlik says in a news release.

Qlik joins Google and PA Consulting Group to execute Rentokil’s mission to deliver its customers predictive advice and connected solutions. The cloud-based Qlik Sense platform will be used to provide visualizations of data from Rentokil’s Internet of Things (IoT) product roll out, which leverages connected digital devices to deliver new levels of proactive risk management against the threat of pest infestation – for instance, mapping weather patterns with rodent behavior or tracking swarms of insects as they cross territories.

“Qlik’s platform will enable Rentokil to gain a new depth of insight from its data and, crucially, empower our front line staff with the latest information and real-time trends, improving productivity,” says Rentokil Initial IT Director Paul Donegan. “This level of data visualization will be crucial as the company continues to digitize and extend its IoT services, heralding the future of pest control management.”

So far, Rentokil extended its range of connected rodent control products to more than 20,000 digital devices, Qlik says, and these IoT units can automatically alert technicians when a rodent is caught, while customers are kept informed through the myRentokil online portal.

“Rentokil’s innovative use of the IoT to launch a new generation of services is reflective of the possibilities a connected world can bring,” says Qlik UK&I MD and Country Manager Simon Blunn. “Key to the realization of this potential is an ability to make sense of the increased level of data produced by IoT devices, and putting power in the hands of the employees and customers that need this information. We look forward to our ongoing partnership with Rentokil and helping the company extract further value and see the whole story within its data.”

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