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NAGRA Insight leverages big data and AI to drive every aspect of an operator's business, predict the individual behavior of TV viewers such as propensity to churn, to purchase a package or to consume specific content, every day, at scale. NAGRA Insight helps operators make better strategic decisions, drive their business more effectively and improve their business line. It provides a lasting impact on the operators’ four critical areas: subscriber value, content, operations, advertising.

• Boost subscriber value: NAGRA Insight recommends the most relevant actions to acquire and retain subscribers, upsell, and offer the best price and package content. It provides precise data on service usage, on a per-subscriber basis, in real time and also enables the operator to optimize the user interface and the customer experience.


• Improve content management: with NAGRA Insight, service providers can increase the usage of their services through individual recommendation. NAGRA Insight also enables them to quantify the value of every content asset, in order to better program, package and negotiate.


• Drive operations: NAGRA Insight optimizes resource-intensive areas especially regarding device management and software update roll-out. It also aggregates data from all networks to increase speed of diagnosis of network issues, keep CDN costs under control and manage the quality of video displayed on OTT services.


• Increase advertising efficiency: NAGRA Insight increases programmatic TV advertising revenues. It delivers linear slots inventory and valuation and enables audience qualification, advertising attributes, demographics and interests. As a result, advertising is more precise, targeted, efficient and cost-effective.

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•Real-time analytics with on-screen overlay

•Collects A/V player events for network, player, device and media framework analytics

•Consistent metrics across all platforms

•Rapidly address issues to reduce subscriber churn

•Pre-launch player optimization

•Seamless integration in Visual On players on all platforms

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MediaServicesIQ contains a suite of machine learning (ML) applications. These microservices can be applied to speech-to-text, video intelligence, closed caption conformance, and content classification in media workflows. The microservices in MediaServicesIQ integrate easily with media workflows used by broadcasters and media houses, helping them leverage AI/ML technologies within existing workflows.

Media ServicesIQ provides an easy-to-access portal to cloud-based AI/ML services through custom-developed workflows.

  KEY FEATURES & CAPABILITIES

Metadata Generation

Cloud-based collection of speech-to-text and video intelligence applications automating the generation of speech and video-based metadata Provides off-the-shelf integration with the Avid system Easily interfaces with existing workflows using REST API Video intelligence metadata for face, logo, ad, number, on-screen text, object, and shot change detection Metadata with timecodes for tagging, enabling search and faster content retrieval.

Automatic Closed Caption/Subtitle Generation

Machine-generated, time-synced outputs in various sidecar formats for further processing Faster, scalable, reliable, and secure generation of preliminary outputs Easily ingest sidecar files into workflows for repurposing.

CC Quality Conformance for Multi-Platform publishing

Generate reports on non-conformance parameters within a CC sidecar file Automatically compares against predefined style guides standards from platforms such as Netflix Time coded error reports for easy navigation and correction Ability to ingest multiple sidecar formats.

Auto classify content for better value

Automatically create a classification for content Classify advertisements using various labels to automatically identify and ingest Automatic classification of high-points in a feature-length video Easily integrate and ingest labels into existing workflows.

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Veritone Discovery, aiWARE’s explorer tool, offers a Comprehensive, Customizable Analytics Suite for Audio and Video Data and lets you dissect media files and streams with multivariate cognitive search for both onetime and automatic watchlist-driven analytics.

Veritone Discovery gives you the ability to quickly search a broadcast for spoken words, faces, logos, objects, sentiment, and more in near-real-time. Discovery reduces manual tasks through automated watchlists for events, highlights, mentions, clients, and more with curated content sent straight to your inbox.

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VSNExplorer Business Intelligence (BI) module transforms all metadata related to any media file into information capable of creating real value for a company. This solution presents all the information and data in a simplified way so that they can be easily analyzed and used to propose actions to increase efficiency and content ROI. VSNExplorer BI generates reports, graphics and detailed analytics, both automatically or manually generated, based on the information detected from media assets available in a MAM system, analyzing the performance of a specific company and assisting in the decision-making process.

VSNExplorer Business Intelligence (BI) module has been specifically designed for broadcast and media environments. Thanks to VSNExplorer BI module, users can extract all the information related to media assets, media quality control processes, traffic, transcoding, and many others, presenting all the selected data in a wide variety of graphics and analysis reports. This way, companies can count on reliable information for their decision-making processes and business performance analysis, no longer needing to create those reports manually or through third-party systems, saving time and resources.

These reports can be customized according to each user or department’s needs, combining both automatically generated reports with customized graphics, thus accessing the precise information they need with information related to overall company performance segmented by geographical area. This system also allows users to monitorize their company’s performance from one single dashboard, granting users and managers more control over its evolution and corporate history.

Thanks to the clean and attractive presentation of data detected directly from any broadcast system, VSNExplorer BI module thoroughly analyzes the real performance of any content, media file, workflow, or use of any resource available for a specific broadcast and media company. All this information represent a real value for any company or corporation willing to improve its business processes and identify new business opportunities.

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YOUBORA gives video providers the comprehensive overview of their end-users’ streaming experience in real time, integrating with players to get the raw data that matters, and translating it into customizable and easily readable dashboards that not only provide businesses with all the data they could need, but also allow them to understand and act upon it in a meaningful way.

The challenge we had was to develop an evolution of our product which could convert extremely complex information into a visual design system intuitive enough to allow clients to identify, create, and stack their own patterns of KPIs, metrics, and dimensions based on the data for their individual service. By working closely with clients and always iterating towards a better version of our product, we were able to create a visual design language simple enough to enable users to obtain the data visibility that they need.

Currently, in version 6, faster and improved analytical capabilities, previously inaccessible mountains of raw data can now be leveraged for a complete range of business needs, from marketing to operations, product, and content departments. At NPAW we strive to provide video platforms with the analytics tools that they need to grow their business. That means we need to be quick, innovative, and forward thinking, always.

YOUBORA is a video intelligence solution that unites video analytics with business intelligence to improve video platforms for both the companies behind them and the people using them.

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It is vital to keep consumers engaged with content in and around your products. By understanding user engagement patterns and coordinating targeted campaigns, Utelly's CRM integrations will help to ensure the full potential of your offerings is realized by your users. Building on top of user-profiles and activity patterns, our platform integrates with your chosen CRM tools to engage users with personalized content. Explore user profiles to understand affinity to content types, genres, topics, and much more. Build compelling messaging with personalized content. Retarget based on a user search history, previous recommendations, and interaction with content. Ensure your catalog's potential is maximized and reduce user churn. Understand your customer base and their preferences. Use this knowledge to drive content strategy.

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Viaccess-Orca’s (VO) TV Business Analytics helps enhance levels of service delivery and consumption of services by optimizing business models, search, recommendation, and personalization strategies based on data analysis. The solution provides actionable insights for products, marketing, and content strategies, enabling customer engagement and revenues to be maximized.

TV Business Analytics collects events from all device types and integrates with various data types that originate in the Service Delivery Platform, personalization, audience measurement, content protection systems, and client applications practicing privacy by design, according to European privacy regulations (GDPR). Propriety analytics reports and dashboards provide the right tools to support your decisions, making the most of data across all departments.

With TV Business Analytics, users can optimize product offerings and service strategies by generating revenue top down analysis to indicate top earning services and products, targeting audience segments with the most relevant promotions and content, and increase monetization opportunities. Utilizing advance audience measurement, TV Business Analytics can help to determine the most watched types of linear and VOD content as well as obtain detailed analyses of users’ interaction with content based on content attributes such as content providers, genres, and users’ viewing attributes, including device types and more. The solution also enables tracking of the viewer’s journey with consumption attribution analysis, helping to identify the impact of conversion sources in generating usage and identifying gaps in content offerings.

Using TV Business Analytics, operators can get instant and comprehensive visibility into their business performance. By identifying the products and content viewers like, operators can improve content discovery, increase viewer engagement, increase monetization opportunities with targeted tv advertising, and reduce churn.

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JUMP Retention is a churn management solution, based on machine learning technology, that allows video service providers to predict how likely their audience is to leave the service and why, and impact the at-risk audience in ways that influence their future behaviour.- Understand when your audience is at risk and why

Sometimes users just have to – or want to – leave a video service. It is important to understand in advance when this happens, and if there is a trend.

Even more importantly, understand why they are about to leave, so retention campaigns can be launched.

• Churn risk scoringTop risk users, High risk users, Low risk users


• Main Churn influencers identification


• Segmented churn analysis to make smart decisionsMain device, Audience Cluster, Geographical Region, Trial or Paying Users.


• - Make an impact using the right multichannel marketing campaign
  

  Multi-channel marketing automation lets you make an impact on users with retention marketing actions, such as:

  
  
  
  
  
  • Engagement promotional campaigns
  
  
  • Retention promotional  campaigns
  
  
  • Win back campaigns
  
  
  
  
  • - Track campaign performance to measure effectiveness
    

    Once the marketing team actions have reached the audience, it is crucial to track their performance to learn what the most effective actions are for each business scenario.

    
    
  
  
  
  

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Content Recommendation EngineJUMP Deep Recommender is a personalization tool for video content that provides your audience highly accurate recommendations after tracking and analyzing user patterns in content consumption and content similarity- Configure the recommendations in the way that best fits your personalization strategy

Easily fine-tune the recommendation engine according to your personalization goals.

• Genre weight


• Content type weight


• Overwrite recommendations


• Include editorial content


• Generate content black lists


• Create and customize recommendation grids


• Create and customize In-player overlay recommendations

- Provide recommendations to your audience tailored to their consumption habits

Your audience will not just receive individual recommendations;  recommendations will also be adjusted to their different consumptions scenarios.

• Type of dayweek day, weekend day


• Time-framemorning, midday, afternoon, night


• DeviceMobile,  Smart TV, Web, etc.


• Content-typemovies, series, etc.

- Track recommendation performance to measure effectiveness

Once the recommendations have reached the audience, it is crucial to track their performance.

• Recommendation impressions


• Recommendation Impressions CTR


• Recommendation Plays


• Recommendation plays conversion rate

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JUMP Actionable Segments is a clustering tool that identifies user behavior relationships and breaks them into segments to trigger targeted marketing activities for each of them.- Identify segments by engagement, content type, content genre and CLTV

Understand user behavior relationships across the user base and cluster them for segmentation purposes.

• Identifying relevant user engagement clusters


• Identifying relevant user consumption type clusters


• Identifying relevant genre consumption clusters




• - Make an impact using the right multichannel marketing campaign
  

  Launch multi-channel marketing campaigns to each identified audience segment  to impact users with marketing actions, such as:

  
  
  
  
  
  • Engagement promotional campaigns
  
  
  • Content campaigns by genre segments
  
  
  • Content campaigns by content type
  
  
  • Low spender upselling opportunities
  
  
  
  




• - Track campaign performance to measure effectiveness
  

  Once the marketing team actions have reached the audience, it is crucial to track their performance to learn what the most effective actions are for each business scenario.

  
  

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JUMP Deep Insights is a all-in-one business intelligence tool that provides insights about your service’s overall business performance, audience activity, content watched, and the experience provided

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Understand your service’s business performance and audience activity to better define acquisition, retention and engagement strategies

An agile analysis of overall video service business performance is crucial to be able to take immediate action in order to increase conversion, retention, and engagement.

• Service discovery


• Service acquisition


• Service monetization


• Audience activity


• Service cancellations

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Understand your content catalogue performance to make better editorialization and content acquisition/production

Gaining insights into how content is watched and what the most successful content and consumption types are is a core part of daily video service management.

• Consumption type performance


• Content type performance


• Content genre performance


• Top performing content


• Low performing content


• Content providers performance

- Improve your service user experience on every screen identifying blockers and adjusting the user experience

Gaining insights into how the user experience is performing is a core part of video service product management. It drives actions like product feature prioritization, and changes in user experience that impact overall customer engagement.

• User flow performance


• Identification of the blockers in the user journey


• Content catalogue performance vs UX sections and components