Four Techniques to Increase Content Quality with Less Staff Using Synergies Between Content Management and Enterprise Search

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Increase Content Quality The NeedThe ProblemThe Solution Good cross-linking between content Too much content to manually relate Assisted linking Better meta-data for faceted search Too much content to manually tag Distant meta-data Content integration from many back-ends Resistance to back-end centralization Virtual documents Structured content integration Systems with no back- end connectors Smart spiders 3

Scenario Public product information website 15,000 content items including product datasheets and informative articles Steady news stream including press releases, newsletters, and blogs 200 products with attributes spread across SAP, WCM, 3 rd party VAR catalog Users want integrated views of content 50 search / navigation facets desired 4

Increase Content Quality The NeedThe ProblemThe Solution Good cross-linking between content Too much content to manually relate Assisted linking Better meta-data for faceted search Too much content to manually tag Distant meta-data Content integration from many back-ends Resistance to back-end centralization Virtual documents Structured content integration Systems with no back- end connectors Smart spiders 5

End-Users Value “See Also” Related Items

Assisted Linking The Need –Provide end users valuable “See Also” links –Maximize return on editorial content –Increase user engagement, improve conversions The Problem –Manually finding related content takes too long The Solution –Widget in WCM connects to search engine or Baynote –Search engine (new content) or Baynote (popular content) provide suggestions for related content –Editor quickly approves the best suggestions

Automatic Related Objects Widget (AROW) Or just approve suggestions… Manually Find…

Increase Content Quality The NeedThe ProblemThe Solution Good cross-linking between content Too much content to manually relate Assisted linking Better meta-data for faceted search Too much content to manually tag Distant meta-data Content integration from many back-ends Resistance to back-end centralization Virtual documents Structured content integration Systems with no back- end connectors Smart spiders 9

Meta-Data for Faceted Search

Distant Meta-Data The Need –Faceted Search / Navigation to improve content findability The Problem –Manually tagging high-volume content is expensive and error-prone The Solution –Meta-tag only high value content –Ensure meta-data is visible to end-users –Relate high-volume content to high-value content –High-volume content inherits meta-tags –Reduces errors from manual tagging –Less work + better quality! Meta-Data High-Value Document 1 Meta-Data High-Volume Document 1 Meta-Data High-Volume Document 2 Meta-Data High-Volume Document 3 Manual Tagging Manual Tagging Related Documents Inherit Meta-Data Related Documents Inherit Meta-Data

Increase Content Quality The NeedThe ProblemThe Solution Good cross-linking between content Too much content to manually relate Assisted linking Better meta-data for faceted search Too much content to manually tag Distant meta-data Content integration from many back-ends Resistance to back-end centralization Virtual documents Structured content integration Systems with no back- end connectors Smart spiders 12

Virtual Documents The Need –Users want an integrated view from multiple sources The Problem –WCM tools only deliver content under management –Organizational resistance to centralizing content sources The Solution –Search engines are good at indexing content from multiple sources 13 –Read-only index is perfect for integration –Search APIs are great for content delivery

Increase Content Quality The NeedThe ProblemThe Solution Good cross-linking between content Too much content to manually relate Assisted linking Better meta-data for faceted search Too much content to manually tag Distant meta-data Content integration from many back-ends Resistance to back-end centralization Virtual documents Structured content integration Systems with no back- end connectors Smart spiders 14

Used to require complex PERL or Java Now there’s simpler XQuery, Kapow, others Great for content migration / aggregation Empowers structured search Record 1 Record 2 Record 3 Search Engine Smart Crawlers / Web Extraction Web Page 1

Increase Content Quality The NeedThe ProblemThe Solution Good cross-linking between content Too much content to manually relate Assisted linking Better meta-data for faceted search Too much content to manually tag Distant meta-data Content integration from many back-ends Resistance to back-end centralization Virtual documents Structured content integration Systems with no back- end connectors Smart spiders 16

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