Qligent will show a MVPD deployment of its Vision SQM platform at IBC2018

Qligent, IBC2018

Qligent will exhibit at Stand 8.E47

Qligent will demonstrate a real-world MVPD deployment of its Vision SQM platform that leverages its second-generation, big data processing engine for viewer satisfaction. The project verifies the overall Quality of Experience (QoE) that subscribers have while live streaming sports, recording a show, watching video on demand, browsing the program guide, or accessing any other content or service.

 

With this level of real-time delivery analytics to understand each individual subscriber, which Qligent officially launches at IBC (September 14-18, Amsterdam RAI), MVPDs and other service providers can identify network performance issues sooner and take swift, decisive action to ensure consistently higher customer satisfaction. Qligent exhibits at Stand 8.E47. Qligent developed this big data analytics solution as a special engineering project requested through a European MVPD that sought a more detailed understanding of the user experience for its Quad-Play (TV, broadband, mobile and IP phone) services.

 

“In this highly competitive media environment, people have nearly unlimited options to access rich media content, and once they’re gone, it’s hard to get them back,” said Qligent COO Ted Korte. “Recognizing that ‘churn’ is a big problem that hurts their growth and bottom line, MVPDs want to get out in front of network service issues before their customers become disgruntled, post damaging reviews online, and potentially abandon their service altogether.”

 

“By proactively reaching out to these suffering users—whether it’s one person or tens of millions—and telling them, ‘We see you had a problem and we’re going to make it right for you,’ MVPDs can show their commitment to delivering that optimal user experience that keeps customers happy, engaged and on-board.”

 

Qligent, IBC2018

 

Qligent will demonstrate the real-world benefits that this special project accomplished, and discuss how other media and entertainment companies can achieve a better understanding of their own end-users’ QoE.

 

“This fully automated, cloud-based deployment of Vision is designed to handle the ‘three V’s’—volume, variety, and velocity—of big data pouring in from several databases and live systems across the enterprise, as well as data relayed by IOT and virtual probes monitoring the downstream distribution channels out to the last mile,” said Korte. “The probes can even double-check and verify that any trouble an end-user is having is indeed being caused by poor network performance, and not false data like “operator error” that can throw off the big picture analysis.”

 

“Vision was deployed for high scalability and throughput using common big data technologies such as Docker Containers, Microservices, and Kubernetes to fit seamlessly within the client’s unique operational ecosystem,” Korte added. “This means tapping into the MVPD’s customer relationship management (CRM), Business and Operations Support Systems (BSS/OSS), media asset management (MAM), and other business systems, as well as Vision’s own QC monitoring database.”


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