UPDATED 19:00 EST / OCTOBER 12 2017

APPS

Splunk boosts real-time, predictive data for retail and healthcare

As data gets collected from a wide range of sources from the edge of the network where devices live to on-premises data centers where it’s processed, large enterprises are finding that their data tends to reside in multiple silos rather than a single store of information. Accenture LLP, a management and technology consulting company, is helping companies within specific industry verticals, including retail and healthcare, break down the barriers between these silos and extract meaningful real-time insights from the aggregated data that can.

“What we can help do with a powerful technology like Splunk is aggregate that data across all the different silos and bring it together in a single view,” said Jeff Chancey (pictured), managing director of communications, media and technology at Accenture.

Chancey spoke with John Walls (@JohnWalls21), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the recent Splunk .conf2017 event in Washington, D.C. They discussed how Accenture is using Splunk to help different industry verticals transform digitally. (* Disclosure below.)

Digital transformation by vertical

Accenture, known for industry specialization by vertical, brings its expertise in addressing valuable use cases to its customers, Chancey explained. By leveraging Splunk — open-source software for searching, monitoring and analyzing machine-generated big data — in the retail industry, Accenture is able to provide real-time inventory management and then facilitate product advertising based on data.

“If you can bring together the dynamics of what’s going in and out of the store with customer loyalty programs and geo-locations, you can actually target real-time those customers when they’re in the vicinity of your store,” Chancey said. 

The other vertical Accenture is beginning to service is the healthcare sector, where in many instances the health of patients is monitored by patient staff physically observing the medical equipment. With this equipment continuously generating its own digital data, Chancey thinks Accenture can help leverage this data in a predictive fashion to prevent patient emergencies.

“What we want to be able to do leveraging Splunk is to apply machine learning and predictive analytics to understand what the monitors tell us,” Chancey concluded. 

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of Splunk .conf2017. (* Disclosure: Accenture sponsored this segment of theCUBE. Neither Accenture nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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