Big Data
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Big Data analysis is a hadoop eco system based platform that collects various and extensive data specific to broadcast service and analyzes real-time service user taste, behavior patterns, view history, etc. Provides an environment in which intelligent and user friendly services can be planned by providing the analyzed data in a intuitive visualization tool format. The customer personal information collected through the service is securely protected through application of the un-identification function.
Big Data analysis platform
Features
Experienced in specialized broadcast service
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Optimized broadcast service operation and deployment experience such as IPTV, digital cable, mobile, etc
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Experienced in user action and service effectiveness analysis for broadcast service users
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Provide real-time comprehensive rating system for Live and VOD broadcast service control
Privacy
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Apply non-identifiable screen function for customer information protection
Manageability
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Provide data backup solution for safe management
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Provide system monitoring and failure notification function through intuitive UI
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Provide easy scale-out and convenient operating environment
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Provide Trouble shooting guide and operation know-how from long operating experience
Benefits
Improve service satisfaction
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Improve service satisfaction through service usage pattern and user analysis.
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Expect increase in sales through recommendation service optimized to customers.
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Detect service usage trends through AB test environments.
Build optimal analysis environment
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Provide an environment that allows easy and intuitive data analysis for service planners and marketers.
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Provide real-time analysis and visualization environment about the service usage.
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Provide data and environment that can provide the story about the user and the user actions.
Forecasting demand for services
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Predict demand for new services through service use trends.
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Predict content to supply and costs through service usage analysis.
Applicable fields
Applications 01
Broadcast service
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IPTV
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Digital Cable
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Satellite Broadcast
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Mobile Broadcast, etc
Applications 02
Movies and TV content recommendation service
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Movie content
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Recommendation service for TV broadcast contents
Applications 03
Web service, manufacturing, shopping mall, etc
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Service use
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Sales analysis
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Supply and demand forecasts
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Recommendation service
Solution details
Recommendation platform
Is a personalized tailoring recommendation platform that analyzes the affinity and interaction between the users and items based on the analyzed user profiling and behavioral pattern data from the Big Data analysis platform. Due to the machine learning algorithm based structure of learning the user usage and meta data, longer period of accumulation of data improves the accuracy and satisfaction of the recommendation data. Hybrid recommendation platform is a combination of the real-time recommendation function that reflects the user preference information and service provider's business model and machine learning algorithm based deployment recommendation function.
Features
Real-time recommendation
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Provide real-time recommendations through real-time analysis of individual user usage and recent tendencies
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Real-time application of service polices such as service provider's business model, filtering, and data sort.
Machine learning based recommendation
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User profiling and behavioral pattern learning based recommendation
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Recommended (User-based, Item-based) by analyzing mutual relations (similarity) between the user and the items
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Association rules and rating calculation algorithm based recommendation through meta data analysis
A/B test platform
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Recommendation effectiveness confirmation through a group divided test (A/B test) of recommendation exposed and unexposed
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Provide statistical indicators such as proof of recommendation effectiveness analysis, purchase conversion rates, and recommendation click rates through the Dashboard
Real-time ranking platform
Platform that provides real-time ranking, based on the service usage, meta analysis, user profiling analyzed through the Big Data analysis platform. Service trend analysis by providing audience share in units of minutes, popular VOD, and live channel program related VOD ranking information through the Dashboard. This enables demand prediction for increased sales and content through advertising system linkage.
Features
Real-time ranking computation platform
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Provide ranking information per program and live channel broadcast ranking every minute
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Provide related VOD information through popular ranking and meta data analysis of VOD views
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Provide VOD content ranking information linked with live channel programs
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Real-time mass data collecting and ranking computation platform that provides convenient Scale-out function
Comprehensive rating system
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Provide real-time ranking information such as VOD popularity and view ratings through web UI
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Provide genre ranking information through meta analysis and per demo ranking through user profiling
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Provide real-time comprehensive ratings system for Live and VOD broadcast service control
Customers
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SK Broadband