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1 Scope & Background

1.1 Sony Pictures Entertainment (SPE)

1.2 Aggregated Metadata Management & Operations (AMMO)

1.3 Global Product Management System (GPMS)

2 POC

2.1 Business Drivers

2.2 Process Overview

2.3 Success Factors & Opportunities

Overview

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Sony Pictures Entertainment

• Columbia Pictures, Sony Pictures

Classics, Screen Gems, and

TriStar Pictures

• Releases approx 25 films per

year

• Products in 140 territories

worldwide

• Sony Movie Channel, Game

Show

Network, Crackle, FEARnet

• 120 channel feeds in 159

countries

• Products in 500 million

households

worldwide

• Distributes SPE and acquired

third-party titles in 67 countries

• Distributes thousands of titles to

hundreds of digital clients

worldwide

WPF is SPE’s centralized post-theatrical servicing unit, managing both

physical and digital fulfillment

AMMO is SPE’s centralized metadata standards, governance, &

operations department

In 2012, SPE movies and TV shows were sold or rented more than one billion times

via movie theaters, DVDs and Blu-rays, and online transactions

MPG

Motion Picture Group

SPT

Sony Pictures Television

SPHE

Sony Pictures Home Entertainment

WPF

Worldwide Product Fulfillment

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Global Product Management System

SPT Sales/Avails/

Planning Systems

SPHE Critical Path

Mgmt System

MPG Competitive

Release Board

Financial Systems

SPE’s centralized system for:

Title master data

Distribution rights

300K+ title records

25K+ title records added annually

Feeds 60+ internal & 3rd party systems used

by thousands of people worldwide

GPMS

Supporting Media DAM

Systems

Internal & 3rd Party Inventory Systems

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GPMS Contains Metadata Critical to SPE Operations

GPMS metadata facilitates the LOBs’ title monetization efforts

• Contains approximately 65 fields of title-specific metadata

(English and localized) • Title identifiers (e.g., GPMS title &

Alpha IDs, financial IDs, EIDR, ISAN, IMDB ID, other studio IDs)

• Release dates & box office performance

• Talent information

• Ratings (e.g., MPAA, local)

• Synopses

• Genres

Title

• Standardized description of picture, audio, and/or content differences • Approximately 150K+ cuts identified in GPMS

Alpha

• Legal rights • Music clearance

Other

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Business Drivers

Two initial use cases were

assessed for potential

EIDR benefits

Potential

EIDR Business Use

Cases

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High-Level Workflow Overview

Participants %

registered

or

identified

Level

of

effort SPE Rovi/

MovieLabs

Pro

ce

ss S

tep

s

1 Title list prioritization Med

2 Exports from SPE's title master system and EIDR database Low [2]

3 Title matching and confirmation High

(Semi-) Auto matched 65%

Manually matched 18%

New use case; requires escalation 1%

Not registered 16%

4 Title Registration Med

5 Title EIDR ID updates in GPMS Low

6 Alpha identification [1] Low

Can leverage existing model 99%

New use case; requires escalation 1%

7 Alpha registration Med

8 Alpha EIDR ID updates in GPMS Low

[1] - N.B.: Assumes Alphas have not been registered previously.

[2] – The steady-state process to obtain EIDR database extracts is in development.

Scope:

~1750 titles were matched and/or registered

~1850 Alphas were registered

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Success Factors & Opportunities

Key Success Factors / Opportunities

Pro

ce

ss S

tep

s

General

• Executive leadership

• Centralized metadata department with management support

• Established relationships with key stakeholders throughout the studio / content lifecycle

• Understanding of studio processes that may be impacted by / could benefit from EIDR

• LOBs familiarity with title management & IDs based on GPMS

• Successful partnership with IT

•(Master) data management approach

1 Title list prioritization • Partnership with LOBs

• Clear executive prioritization of business initiatives

2 Exports from GPMS &

EIDR database

• Established centralized title master system to facilitate data retrieval, update, & distribution

• Partnership with Rovi/MovieLabs

3 Title matching and

confirmation

• Business rules & cascading hierarchy of criteria for title matching

• Robust existing metadata

• Effective tools for title matching

4 Title Registration • Partnership with Rovi/MovieLabs

5 Title EIDR ID updates

in GPMS

• Established centralized title master system to facilitate data retrieval, update, & distribution

• Successful partnership with IT

6 Alpha identification*

• Existing patented Alpha model; deployment of metadata construct in GPMS

• 18-month effort to identify and approve Alphas for all active titles

• Organizational structure & management support for ongoing Alpha model development

7 Alpha registration • Partnership with Rovi/MovieLabs

8 Alpha EIDR ID updates

in GPMS

•Established centralized title master system to facilitate data retrieval, update, & distribution

• Successful partnership with IT