Turn Data into Business Value - Cisco · Turn Data Into Business Value Rich source data Multiple sources: Infinite Video Platform, infrastructure, and external sources Advanced analytics

Layne Berg, Product ManagerSteve Epstein, Distinguished Engineer

June 21, 2017

Infinite Video Platform Analytics

Turn Data intoBusiness Value

© 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential

Applying Big Data Analytics to Video

© 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential© 2017 Cisco and/or its affiliates. All rights reserved. Cisco Confidential

Evolving Use of Analytics in Pay TV

Today, primarily descriptiveanalytics

Recommendations and targeted advertising are exceptions

In existing deployments, analytics apps typically require dedicated, heavy development and integration efforts

Demand for high-value predictive analytics is growing! (Netflix, YouTube, Amazon)


Data-based insights grow customer loyalty by driving intelligent content choices, personalized experiences, recommendations

Leading Online Players are ‘Analytics Native’

Source: Satmetrix US Consumer Net Promoter study

“We live and breathe the customer”

- Reed Hastings, Netflix CEO


Foundation for Success:Unified Platform and Data Lake

S td

APIs

Plugins

Operational analytics

Business analytics

Anti-piracy

Personalization

Orchestration, management, monitoring

Generic application services

Standard open source APIs

Single instance of secure, curated data for all Pay TV applications

Common data workflows

Common data governance and policies

Video Analytics Applications

Video Data Lake

Big Data Platform


Common Data Lake High-Level Architecture

Data Collection Data Transformation Data Applications

Data Sources

Formatted Data

Formatted Data

Formatted Data

IngestCommonData Lake

APIs

Catalog

SQL

Workflows

Descriptive Apps

PredictiveApps


Fundamental Big Data Technologies

Ingest

File tolerant file storage: Amazon S3 or HDFS

Catalog of data in data lake: Hive

Storage

Predictive analytics and ETL: Spark

Operational analytics: Elastic Search

Engine & Workflows

Amazon Kinesis or Kafka

Descriptive dashboards (on top of Elastic Search): Kibana

Predictive applications: Tableau

Applications


Recipe for Innovation and Agility in Video Analytics

Organic UXCloud DVR Storage

OptimizationOutageRemedy

Media Sharing Protection

Public Use of Private Account

Detection

Streaming Piracy Source

Identification

Content Monetization

Video Quality Awareness

Business Insights Operations

PP Cisco Patent pending

Unified Platform + Rich Common Data

PP PP PP

PPPP PP

Data Science Expertise + Video and IP Expertise


Infinite Video Platform Analytics


Analytics at the Core of Infinite Video Platform

Cisco Infinite Video Platform

Infrastructure Operations Service Operations Business Operations

Video Provider

Security Services

Cloud DVROn-demand VideoLinear Video

Processing Services

Analytics

Content Discovery

Metadata Services Business Services

Consumer Applications

Content First IP First Device FirstOptimizing video delivery over IP;

collecting massive dataEnhancing content delivery

decisions and QoEProviding business insights for service creation across devices


EngageYour Audiences

OptimizeYour Operations

ProtectYour Offering

MonetizeYour Assets

Deliver outstanding quality of experience by giving subscribers premium

personalized video content, services and support

Improve service performance and

reduce costs by enhancing operational resource usage

based on intelligence

Increase video servicesecurity by detecting and

preventing variedforms of piracy

Identify new opportunitieswith existing and potential

subscribers leveraging data and business insights

Boost Your Business with Analytics


Turn Data Into Business Value

Rich source dataMultiple sources: Infinite Video Platform, infrastructure, and external sources

Advanced analytics platformLeveraging robust, secure cloud platform and big data analytics capabilities

High value applicationsLeveraging video and network domain expertise, common data lake

Common Data Lake

• Data aggregation

• Data normalization

• Data enrichment

Organic UXCloud DVR

Storage Optimization

OutageRemedy

Media Sharing Protection

ContentMonetization

Engage Optimize Protect Monetize

• Big data processing

• Predictive analysis

• Visualization

API

Infinite Video Platform

Linear Schedule Content Metadata

Viewing History Search History

UX Actions Identity

Licenses Offers

Infrastructure External sources

Yellow Pages

Weather.com

MaxMind

Currency Translation

Video Processing

Storage

Network Utilization

Device Connectivity

Video Quality Awareness

Public Use of Private Account

DetectionOperations

BusinessInsights

Streaming Piracy Source

Identification


Gain More Value, Faster

WithoutInfinite Video Platform Analytics

WithInfinite Video Platform Analytics

Data Discovery4 Months

Data Exploration2 Months

Production

Discovery3-4 Weeks

Exploration3-4 Weeks

Production

• Develop better apps using available rich data and platform• From idea to app in less time, at lower cost

Extra value


Poll Question


Use Case Example:Content Monetization


New KPIs for Measuring Success

Content Value

Analysis

Content Merchandizing

Personalized Placement

Measurement


IVP Analytics

Content Merchandizing

Personalized

Placement

Real-time Feedback

Content Value Analysis

Media Suite Merchandiser

IVP UX

Metadata Services

Content Library

3rd Party Data(Social, Geographic,

etc..)

Maximize Content Value with Infinite Video Platform


IVP Logs ProgMovie Title

DtlsMovie ID Google /

Alexa

Person ID

FB page ID

Celeb

Genre, release year, MPAA rating, duration, budget, language, producer

Featu

re B

uild

ing

Facebook Twitter IMDbRotten

Tomatoes

Movie ID

Twitter ID IMDb ID RT movie URL

Web traffic# queries

Cast, director, writer details

Rating, likes, comments

Movie URL

Review Sites

@thefilmreviewhttp://www.the-numbers.com/http://www.boxofficemojo.com/

Comments

TimesChannelDevice typePosition

Gracenote

Raw Data Sources and Flow

Social

http://developer.tmsapi.com/docs/read/v2/Social_data


Content Analysis in Action – Data Sources

Content MetadataViewership Measurement

Movie Rating Metadata

Social Media Trends


Content Analysis in Action – Results

Target Viewing Hours

Project RevenuePotential

Rank Against Other Assets


Hub/Store Placement Filter/Store Placement

Editorial recommendationsPromotional recommendations12 placement opportunities (STB)

Editorial recommendationsPromotional recommendations (personalized)12 placement opportunities (STB)

Configurable Promotion Placement withInfinite Video Platform UX


Summary

For IP-powered video businesses, analytics istable stakes

Get the foundation to quickly turn ideas into analytics apps

Use machine learning, data science for high value applications

Analytics is a core part of Infinite Video Platform

Layne Berg: [email protected] Epstein: [email protected]

Documents

Turn Data into Business Value - Cisco · Turn Data Into Business Value Rich source data Multiple sources: Infinite Video Platform, infrastructure, and external sources Advanced analytics