Trends in Publishing Automation
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Transcript of Trends in Publishing Automation
NISO Virtual ConferenceTrends in Publishing Automation
Barry BealerPresident/CEO, Co-Founder
21 Oct 2014
SLIDE: 2
+
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
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