DATA MANAGEMENT CONTENT ORGANIZATION AND MEDIA IDENTIFICATION John Doe Executive Vice President Digital Division.

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Presentation transcript:

DATA MANAGEMENT CONTENT ORGANIZATION AND MEDIA IDENTIFICATION John Doe Executive Vice President Digital Division

Objectives Setting the Stage (Handout) – Numbering (Smart / dumb) – Master Data / Data – Basic Definitions for Title, Program, Version, Alpha, Metadata – Identification between systems design principles  Inter system  Across the Enterprise  Across multiple Enterprises – Exercise – Identifying the types of content that need to be ID’s Content organization approaches (What’s working, what are the opportunities) – GOAL: Get on the same page – Review current approaches (Page 1 – screenshots and words, page 2 hierarchy picture  Spain  Budapest  UK  Digital Backbone / SPE Distribution  LATAM  EIDR – What definitions need to be worked out? What of that needs to be sorted out before the project starts – What do we want our practices to be:  What are the strengths and weaknesses of each approach?  What questions were raised on Wednesday data movement that we need to address?  What are the design constraints related to these (ie broadcast system requires a smart number ?  What design principles would we want to leverage from what we are doing?  What IDs (Data) should be referenced across the enterprise or between enterprises? For enterprise or inter enterprise, how should re register or issue ids?  Will this approach work for our digital distribution models (VOD/OTT)? If not, what needs to be considered  What needs more discussion and needs to be sorted out before GL – What are the gaps from where we want to be to where we are today? Master Data Opportunities Metadata and VOD/OTT – What additional metadata requirements do we need to plan for with VOD and OTT? (Leverage Spencer and Jocson and previous day comments) What Systems and Dataflows are in plan and what additional analysis do we need to complete to lock down scope

Vision - LATAM 1.No Series / Season Only 2.Barecode Matches TXID 3.ID = Title Record 4.Would need to use Extra Data for xRef 5.House ID’s generated by HBO for program 6.House ID’s autogeneraged by Matrix for Promos, Primary and Secondary events 7.Versions are created for SD/HD, Compliance, and Language (assigned TX ID)

LATAM Cont This are the basic ones. If you need other tabs, please let me know and I print them for you. 1.House ID not used but TX ID is referred to as house ID

Outputs Homework or Decisions on – Content organization approach – Indentifiers used (Internal / External) – Masterdata in Scope – Source Systems Design Principles

Questions What needs to be identified? Versions How do we want to organize our content? What does a reference architecture look like? What issues or opportunities What are our master data opportunities? Design Principles What should be centrally registered versus locally registered? What is the implication on Data Migration OTT / VOD needs versus Broadcast Needs

Identify Areas of Content Organization Titles (Programs) Versions Alphas Inventory – Core Media – Source – from distributor – Supporting Materials (Eagle) – Promotions – Physical Sources – Deliverables – Transmission Copy Other?

Defining Version What is the current definition of version? How does it relate to what we define as an alpha? Review examples

Content Organization: High Level Program Version Inventory (Assets) Version Inventory (Assets)

Content Organization: Example - 1 Breaking Bad Version: HD HD SourceSubs Version: SD SD SourceSubs

Content Organization: Example - 2 Breaking Bad Version: Dom SourceSubs Version: Compliance Edit SourceSubs

Content Organization: Example - 3 Breaking Bad Version: Localized - Spanish SourceSpanish Subs Version: Localized - French SourceFrench Subs

Content Organization: Example - 4 Breaking Bad Version: Base HD SourceSD SourceSubs Version: Int HD Source French Subs Spanish Subs German Subs

What Level of Content Organization exists in Business Systems Harris Systems (Broadcast Master, Harris, Landmark) GPMS Eagle Cineshare Media Center (CWM)

Internal and External Identifiers AreaIdentifiers ProgramTransmission ID, SPTN House Number, GPMS ID VersionVersion ID Alpha Inventory (Assets)Barcode

Content Registration Internal Product Identification – What internal identifiers are used within the existing business systems – Which identifiers are hardwired into existing business processes and automation External Product Identification – Registration to external organization (i.e. EIDR, ISAN)

Master Data Opportunities Where can we nourish existing content

Metadata surrounding hierarchy AreaType ProgramGeneral Title Attributes, Program Identifiers, Localized Metadata (i.e. Synopsis, Titles, Genres, Copyrights, Ratings), Client Specific Identifiers, Rights, Transmission information? VersionGeneral Version Attributes, Alpha Identifiers, Localized, Rights, Transmission information? Inventory (Assets)Asset Identifiers, Technical Metadata (i.e. Aspect ratio, format, framerate), QC, Ingest related (encode facility, ingest date, source id), DeliverablesTechnical Metadata, Title and Version metadata, Client Specific, Rights Detail, Package Details, content status?

Metadata related to Linear, Non Linear, OTT

Non-linear metadata Program Asset s Version Rights ALpha

Data Movement –Originated vs. Interfaced

Open Questions What will be the source system for setting up in the initial program? What level of content organization do we need within each business system in order to complete end-to-end process from program set up, delivery to play-out? Do we need standardized rules for defining versions for consistent inventory? How do we deal with promotions and supporting materials in the content hierarchy? What are the areas of data that will need to be interchanges across systems and at what point in the cycle are they needed? Metadata for content exports out of CWM – do we need to source this information from GPMS? Or are we storing and editing internally at the MC Where does schedule fit in the content oganization?

Data Migration What data can be migrated immediately? Implications of data migration Long term data migration goals

Homework Check connections to the RFP Kelly to connect to RFP via YouSendIt Kelly to see Vision

Wrap-up and Review

Question 1 -Question 2 - Question 3 - Question 4 -