Qligent | Stand 8.E47| https://www.qligent.com/

In an effort to communicate the value proposition of real-time analytics in a cloud-based monitoring workflow, 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 unprecedented level of real-time delivery analytics to understand each individual subscriber, which Qligent officially launches at IBC, MVPDs and other service providers can easily identify network performance issues sooner and take swift, decisive action to ensure consistently higher customer satisfaction.

Uncovering Silent Sufferers — As a specialist in cloud-based, enterprise-level content monitoring and analysis, 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.”

Qligent’s second-generation big data processing solution is especially powerful as it looks beyond the obvious pain points to uncover “Silent Sufferers.” These are the subscribers who experience service difficulties, but never complain to customer service. They just decide to drop the service.

“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.”

Automated End-to-End — 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.”

For example, this big data deployment of Vision reaches into the customer’s CRM profile and can open a trouble ticket, send out customer service alerts, and close the ticket once the issue is resolved—all in an automated, real-time manner. The data mining process follows a logical path, sifting through, augmenting, and evaluating multiple layers of voluminous data in real-time to promptly determine how, where, and for how long network performance fell short of customer expectations. With this workflow, Vision’s big data processing capabilities answer the “How is my QoE?” question by first evaluating video and audio quality, whether the right program and ad content aired, and if the set-top box and router is working in the home.

“This big data deployment of Vision is the most comprehensive way that service providers can gain valuable insights into what’s going on across their networks, out to the viewer, so they can take steps to ensure a high QoE for their customers and completely eliminate silent sufferers,” concluded Korte.

Read all of TVNewsCheck’s IBC 2018 news here.

Qligent | Stand 8.E47| https://www.qligent.com/

Qligent, a specialist in cloud-based, enterprise-level content monitoring and analysis, will introduce Vision-VOD, a new automated, file-based solution for front-end QC and back-end quality of experience (QoE) verification ofvideo-on-demand (VOD) content. The fully virtualized application stands apart from competitive systems by taking the responsibility for last-mile content verification out of the broadcaster’s hands, and without limitation as to where and how widely it can be deployed.

The infinitely scalable software solution enables immediate verification of media files, wrappers, QoE, and content metadata, which includes automated audio level normalization, at the origination point. Following these front-end file-based QC verification tasks, Vision-VOD offers clear identification of audio, video and metadata defects from origination through delivery for networks of any scale, and without any end user operation. Furthermore, thresholds for any level can be established and continually adjusted for optimized performance, with the added power of management by exception.

Vision-VOD is available as a SaaS-based add-on within Qligent’s Vision monitoring and analysis platform.

In addition to front-end QC and back-end QoE tasks, Vision-VOD offers a highly configurable, value-added analysis componentsupporting a wide range of media formats. Notifications can also be established with Vision-VOD to alert users if the content doesn’t pass the test. This means that broadcasters and other VOD service providers have an immediate and automated point of reference if loudness levels, presence of black, or other performance issues continued for configurable lengths of time.

Vision-VOD will also be demonstrated with Qligent’s established Vision-OTT monitoring and analysis platform, with an emphasis on delivering a richer, comprehensive service for OTT networks across linear and non-linear content.

Read all of TVNewsCheck’s IBC 2018 news here.

Qligent | Stand 8.E47 | https://www.qligent.com/

Qligent, a specialist in cloud-based, enterprise-level content monitoring and analysis, has developed a new As-Run feature exclusive to its Qligent Vision platform. As integrated within Vision, the new As-Run feature uses an imported as-run log to analyze whether vital secondary program events, like SCTE-35 ad insertion triggers and ratings watermarks, aired as planned, and also improves the compliance verification process of loudness, EPG tables, and closed-captioning. The application then produces a consolidated as-run report as an overlay to the program schedule in near-real-time.

Set to debut at the upcoming IBC 2018, this new capability provides monitoring by exception to pinpoint precisely where, when and why secondary events failed to execute properly along any of a broadcaster’s downstream distribution channels.

This new feature also saves broadcasters significant amounts of time and effort by enabling them to search for specific clips or segments of primary program events, such as TV shows, commercials, and IDs, as well as secondary events. Once located, the search function can link them directly to where that item is in the program schedule, and they can also play or export the selected clip segment.

Networked Architecture

Like other aspects of the Vision platform, IoT and virtual probes are used to monitor downstream distribution channels in the last mile and the home, including over-the-air, satellite and cable transmission along with over-the-top (OTT) online and mobile platforms. Qligent’s software probes gather and consolidate data for each monitored channel — and relays it to a centralized site.

With this new As-Run feature — and other recently added modules like MATCH for programmatic error detection — the Vision platform’s comprehensive analytical capabilities now encompass four major areas of concern: the detection of compliance errors (regulatory/SLA), objective errors (QoS), subjective errors (QoE), and programmatic errors (expected presentation to the end user).

By leveraging Vision’s broader data analytics processing, broadcasters have visibility of their entire distribution chain, including the terrestrial, cable, satellite, IPTV, mobile, OTT and social media services that deliver their branded shows to a potentially global audience.

Read all of TVNewsCheck’s IBC 2018 news here.