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  • 1. The Text Analytics Market(s) Competitive landscape and trends by Curt A. Monash, Ph.D. President, Monash Research Editor, Text Technologies [email_address] http://www.monash.com http://www.texttechnologies.com
  • 2. 8 linguistics-based businesses
    • Web search
    • Public-facing site search
    • Enterprise search & knowledge management
    • Custom publishing
    • Text mining and extraction
    • Spam filtering
    • Voice recognition
    • Machine translation
  • 3. Web search
    • Giant oligopoly
      • It's a huge business
      • It's consolidating down to two vendors that matter
        • If anybody but Google matters at all
      • Startups aren't gaining traction
    • Three kinds of search
      • Navigational
      • Informational
      • Transactional
  • 4. Web search vendor issues today
    • Physical efficiency
    • Adversarial information retrieval
    • Monetization
    • Regulation
    • Branding
  • 5. Future web search issues
    • Better popularity metrics
    • Better use of context
      • Geography!!
    • Sub-page retrieval
    • Looking through security barriers
    • Better UIs
  • 6. Public-facing site search
    • It has dual goals
      • What the user actually wants
      • What you want the user to see
    • E-commerce and general search are separate businesses
      • E-commerce = province of smaller vendors
      • General = province of search, portal, or CMS vendors
    • Hand-tagging is key
  • 7. Enterprise search & KM (inward-facing)
    • For decades there was only one kind of text analytics …
    • … but that was asking too much of one technology
    • Now enterprise search is more circumscribed …
    • … but things are still convoluted
      • Complex needs
        • Multiple kinds of search
        • Unique technical challenges
        • Multiple purchase drivers
      • Confused market
        • One-size-fits-all strategy
        • Users want portal integration
        • Investment is fragmented
  • 8. Kinds of enterprise search
    • Find a specific document
    • Find an answer
    • Find ALL documents
    • Find an expert
  • 9. Technical challenges in enterprise search
    • Documents may not exist
    • Many formats
    • Corpus weighting
    • No good popularity metrics
    • Security
    • Ease of adoption!!!
  • 10. Many reasons to buy enterprise search
    • General productivity
      • Sure beats looking through file cabinets
    • “ Wouldn't it be nice if ...”
      • KM dreams
    • Compliance
      • “ Thou shalt …
    • Not all the reasons are good
  • 11. One-size-fits-all didn't work
    • Overreaching had a lot to do with that
    • E-commerce search isn't general search
    • Text mining isn't search (or clustering)
    • Custom publishing isn't exactly search
  • 12. Custom publishing
    • More precise than search
      • Sophisticated extraction
      • Focus on document parts
    • Started with technical publishers (and intelligence)
    • Expanded to
      • Other technical documents
      • Other publishers
    • Players
      • Mark Logic
      • Various text miners
      • Various search vendors
  • 13. Bollixed enterprise search market landscape
    • Multiple generations of vendors flamed out
      • Verity
      • Excalibur (endlessly backed by Allen & Company)
      • Fulcrum et al.
      • FAST
    • Google has brand name, ease of installation
    • Microsoft, Oracle, SAP, and Autonomy are all confused
    • Products are sold for inappropriate apps
    • Compliance is driving demand
    • Small vendors are ... small
  • 14. Text mining
    • Really about sophisticated extraction
    • Apps and verticals mirror data mining
    • The action is in sentiment analysis ...
    • ... and ease of use
    • Otherwise the industry seems tired
  • 15. The original text mining apps: Early warning
    • Source: July, 2006 post on Text Technologies
    • Vehicle safety
    • Other manufacturing/warranty analysis apps
    • Reputation management
    • Other customer sentiment apps
    • Anti-terrorism
    • Sarbanes-Oxley compliance
    • (continued …)
  • 16. More early warning
    • (… continued)
    • Antifraud
    • Stopping money laundering
    • Clinical applications (some)
    • Early insurance risk management apps
    • Early experimental hedge fund apps
    • Employee (dis)satisfaction (missing from the original list)
  • 17. Customer/market intelligence
    • Now drive text mining growth
      • Internal Voice of the Customer came first
      • Voice of the Market has blended in
    • Sales, buying, and delivery practices are in line
      • Departmental buying
      • SaaS delivery
    • Many vendors focus(ing) on this segment:
      • Attensity
      • Clarabridge
      • SAS
      • SPSS
      • Expert System S.p.A
  • 18. Three ways to use text mining
    • Business intelligence
      • Reports, dashboards
      • Attensity, Clarabridge
    • Predictive analytics
      • Data mining
      • SAS, SPSS
    • Custom publishing
      • nStein et al.
      • Lots of partnerships
  • 19. Six trends that could shake up the market
    • Web/enterprise/messaging integration
    • BI integration
    • Universal message retention
    • Portable personal profiles
    • Electronic health records
    • Voice command & control
  • 20. Further information Curt A. Monash, Ph.D. President, Monash Research Editor, Text Technologies [email_address] http://www.monash.com http://www.texttechnologies.com

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