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FURIOUSM DATA TYPES - MODEL

AVAILABLE USER DATA

Social Media Profile + Interactions "@ username"

#keyword Interests Location

Age Gender

Targeting > Fans Targeting > Friends of Fans

Targeting > People Through Options

Status total engagement Link total engagement Video total engagement Photo total engagement Other total engagement

Social Reach AnalyticsAdmin Post total count Fan Post total count Comments total count

Likes total count Fans/Followers total count

Retweets total count Replies total count Mentions total count

"Share of Voice" overall percentage counts of interaction on platforms around the various transmedia types produced (i.e.: totals on the ebook vs the feature vs the documentary)

Measured People Engagement StatsGeo-Location

Country, region, city, postal/zip code (based on IP lookup) Demographics

Age, gender, martial status, preferences, interests, income, etc.

TEXT ANALYSIS = more complex unstructured text

Platform Sign Up / User Profile Entry:username

email top #hashtags

mentions/posts to @username = (social listening / consumer queries) Security concerns - user has option to add:

Address or Allow Geo-location Interests / Personalization Categories

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FURIOUSM DATA TYPES - MODEL

AVAILABLE USER DATA

Measurements for Reporting and/or AlgorithmVolume of social media mentions

Visitor loyalty Sales/conversion by social campaign

Improved search engine ranking Number of advocates

Changes in age/demographics of fans Consumer Purchases

Ad views related to titles viewed Number of customer service issues solved by social interactions

Number of reviews and feedback Suggested new groups to target: based on new views/interaction, etc. from other age groups, demographics, etc.

Common Mobile VR Player Platform Data VR Title Duration Description

Producer/Author Categories

Keywords/Hashtags OTHER:

Within Scene: Descriptive Data to Objects -This can expand

OTT Video Player Data Video Name - Video ID Account ID (Video Cloud)

Page URL (URL of referring page) Player ID (Video Cloud player)

% Watched (25%, 50%, 75%, 95%) Ads

OTT Platform Data Platform/App Subscriber

Subscriber group APN

# of Viewers Streaming vs Download Content

Handset type, browsers, OS Cell/service provider

Geo-location P2P file sharing

Media Streaming Gaming Shared

Heavy users Ads

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FURIOUSM DATA TYPES - MODEL

AVAILABLE CONTENT METADATA

FilmTrack Rights Management Data

Territories Rights

Languages Regions

Start Date End Date

License Type

General Key Title DataParent Title

Title EIDR #

Type (Film, eBook, etc.) Title ID

Title Code Year

Actors  Director

Summary Description Characters

Genre Rating 

Duration (hr:min:sec) Length (i.e.: Pages)

Descriptors #Keyword / Tags

Writer Crew

Asset MetadataTitle Type

EIDR/ISBN ID Version

Version Rating Media Format

Media Standard Aspect Ratio Screen Size

Asset Region Color Format Audio Format

Closed Captioned Country of Origin

Cost Per Unit: (USD) Price Per Unit Wholesale: (USD)

Active/Inactive Product Description: i.e.: 1st Director's Cut

EAN/UPC SKU

ID - AMG, IMDB, etc. ID - iTunes, Netflix, Hulu

ID - Amazon (sell-through)/ Amazon (rental): ID - ISRC

Running Time (min): Adjusted Run Time:

Company / Domestic/International Language Tracks of Version Subtitle Language Tracks

FuriousM FilmTrack Configured Title DataSSI Title  SSI ID

SSI Summary Desc SSI Characters

SSI EIDR ID SSI Creator SSI Code

Genre Country of Origin

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ARCHITECTURE OVERVIEW

CAMPAIGN TO USER ENGAGEMENT

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• Discuss if to explore and demonstrate use of distributed machine learning algorithms.• Discuss if to explore use of Open Source such as Hadoop, Hive, MapReduce, HDFS, etc. for early,

vs. long term platform.

FURIOUS M

PRODUCT PLANNING - Phase 2Data Architecture

Image presented for discussion purposes only.

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FURIOUS M

PRODUCT PLANNING - Phase 2

FURIOUS M MVP PLAN -to commence February, 2016

• On-boarding of Technical Teams w Review of Existing MVP Reqs. Documentation, Data Model, Architecture, Planning

• Define and Begin POC of Data Algorithms w/ Teams• Determine if to include 3rd Party Data API Integrations, Media Storage• Formalize Distribution Workflow/Ops Processes (Media + Data)• Revise Documentation and Development Plan for MVP w/ Phased Releases• Define Agile Developer & QA Resources• Define Ph.1 Delivery Dates w/ Milestones

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