NISO Virtual ConferenceTrends in Publishing Automation

Barry BealerPresident/CEO, Co-Founder

21 Oct 2014

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What is my lens on the publishing world?

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+About RSuite CMS Launched in 2006 Currently on version 4.0 10,000+ daily users Global customer base

Publishing & Media Medical & Scientific Manufacturing Government Legal & Regulatory

Products managed Books Journals Magazines Standards Learning Objects Digital assets (images, PDFs, PPT,

etc.)

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+Trends in Publishing Automation

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Definition

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Drivers of Publishing AutomationHistorical View

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Drivers of Publishing AutomationToday

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Author Edit Enrich Aggregation/Production Distribution

Content Life Cycle

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Author Edit Enrich Aggregation/Production Distribution

Content Life Cycle

Inge

st

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Author Edit Enrich Aggregation/Production Distribution

Content Life Cycle

Vendor Mgmt

Re-Use

DeliveryConversion

Analytics

Metadata Mgmt

Indexing

Tools / Systems / Technologies / Service

Providers

Editing

Inge

st

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Author Edit Enrich Aggregation/Production Distribution

Content Life Cycle

PRINT

Aut

omat

ed C

onte

nt P

acka

ging

& D

eliv

ery

LMS

Vendor Mgmt

Re-Use

DeliveryConversion

Analytics

Metadata Mgmt

Indexing

Tools / Systems / Technologies / Service

Providers

Editing

Inge

st

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+Author Edit Enrich Aggregation/

Production Distribution

What do I automate?

Where can I automate?

Do I bring automation in-house or look to outsource?

What are my competitors doing?

What is my biggest pain point where I can save money?

Time to market pressure?

Content Life Cycle

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Author Edit Enrich Aggregation/Production Distribution

Content Life Cycle

Traditionally been one of the largest pain points in publishing

Large majority of publishers begin with Microsoft Word

Many attempt to impose Word templates on author

Some publishers moving to web-based tightly controlled submission tools

Authors being required to work within publishers systems/environments

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Author Edit Enrich Aggregation/Production Distribution

Content Life Cycle

Edit in Word converted to XML at beginning of editorial process

Edit XML/XHTML

Leverage Word-based tools (e.g., eXtyles)

Web forms submissions

Quality checks

Automated generation of PDF proofs

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Author Edit Enrich Aggregation/Production Distribution

Content Life Cycle

Many publishers still use Microsoft Excel to manage metadata

Authors being asked to submit baseline metadata

Embracing of standards (e.g., ONIX, PRISM)

System of record for metadata (API to API integrations)

Automated entity extraction

Knowledge-set building and enrichment tools

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Author Edit Enrich Aggregation/Production Distribution

Content Life Cycle

Content transformations (the big win!) Generation of digital and print outputs

Generation of TOC and indexes

Better input leads to easier transformations

Built in quality checks throughout the process rather than at the end

Metrics driven processes (management dashboard)

Merging of outside content with internally produced content

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Author Edit Enrich Aggregation/Production Distribution

Content Life Cycle

Content filtering

Business rules validation and checking

Automating packaging and distribution

Goal: Eliminate manual intervention

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+Content Life Cycle

All in-house Experiment by addressing specific pain points Sometimes driven by culture of publisher

Outsource some Focus on core competencies, outsource everything else Cost driven decisions

Outsource all Focus on brand development and management Cost driven decision

Different automation approaches by publishers

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+Key Take-Aways

Automate what you feel comfortable automating

Tools and technologies continue to evolve quickly

The more you standardize your products and content structures, the more you can automate

Devices will continue to push publishers to automate

Once Size Does Not Fit All