smartlogic webinar - arnold_duckworth - oct14

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  1. 1. Improve Knowledge Management from Development to Manufacturing with Content Intelligence
  2. 2. Whos speaking today? Adam Duckworth Associate Director, MMD Knowledge Management COE Merck, Inc. Douglas Arnold Director, Account Manager of Knowledge Management, MMD Information Technology Merck, Inc. Anne Lapkin SVP Global Strategy Smartlogic, Inc.
  3. 3. Agenda A bit about Smartlogic A bit about Merck Merck challenges Merck solutions The outcome What is content intelligence? Questions?
  4. 4. A bit about Smartlogic We believe there is huge business value locked away in content and that organizations that manage to unlock that value can outperform others, because the majority of the enterprises intelligence is contained in that content. It augments the value most organizations have already found in structured data. To realize this value we know you must understand your content, the information and knowledge it contains, how it can be applied in the context of your operations and how it enhances the insights from structured data. The content must be described completely and consistently with metadata. We focus all our energy on creating value from unstructured content something we call Content Intelligence Jeremy Bentley, CEO Through 2015 organizations integrating high value, diverse, new information types and sources into a coherent information management infrastructure will outperform their industry peers financially by more than 20% Gartner
  5. 5. Content intelligence is Content Intelligence is the combination of semantic technology and information science that allows machines to model, interpret, describe, analyze and visualize the content of the enterprise in order to leverage the human intelligence locked in that content.
  6. 6. A bit about Merck Key Company Facts 6 $7.1 billion; 22 products in late-stage development; key areas: oncology, CV, diabetes, respiratory & immunology, neurology, infectious disease and vaccines 2013 R&D EXPENSE More than 100 significant licensing and partnership deals were completed in 2012 and 2013 EXTERNAL LICENSING $44 billion; 59% of sales come from outside the United States 2013 REVENUES Pharmaceuticals, Vaccines, Biologics and Animal Health BUSINESSES Whitehouse Station, New Jersey, U.S.A.HEADQUARTERS Operating since 1851RICH HISTORY Known as Merck in the United States and Canada, and MSD elsewhere WHO WE ARE Approximately 73,000 worldwide (as of 6/30/14) EMPLOYEES
  7. 7. The business challenge The business challenge
  8. 8. Dimensions of the problem Knowledge Flow Analysis Identified gaps in the flow of small molecule product technical knowledge ProcessStep Knowledge Needed CreatedBy UsedBy Explicitor Tacit Whereisit Flow Impact Gap/ Opportunity Explicit Document Repository None Tacit Partially captured on RA Rationale not consistently captured B Safe operating conditions Safety Eng API Engineering Explicit Document Repository Not sure which is latest version C Summary of lab development Analytical Registration Team Explicit Local team work space No standard repository D Performance of similar product Manufacturing Development Tacit Local, at manufacturing sites Limited access to SMEs and no standard expectations for reporting E Knowledge on powder processing Pharm Engineering, Manufacturing Manufacturing Tacit Unknown No formal SME listing identified A Early Risk Assessment API Engineering Pharm Engineering VOC Difficult to locate knowledge No common defined standards Organization of knowledge varies by area/location Technical packages can take weeks to months to assemble Inconsistent quality of information Difficult to identify current version No common repositories Knowledge stored locally Very limited access to key content Moving knowledge between repositories is low-value work Lack of context & rationale In manufacturing, we make two products: clinical/commercial supplies and knowledge Classifying 2,000,000 historical documents manually would take 30 person years
  9. 9. The business challenge The solution Product Knowledge Technical Knowledge System Content Intelligence
  10. 10. And the survey says Flexible; Shift to Value Knowledge Seeking Efficiency and Productivity Avoiding Rework
  11. 11. Content intelligence is Content Intelligence is the combination of semantic technology and information science that allows machines to model, interpret, describe, analyze and visualize the content of the enterprise in order to leverage the human intelligence locked in that content.
  12. 12. Semaphore in a nutshell Assisted and automated metadata enrichment Resource Description & Authoring Content Editors Contextual metadata driven search and navigation Portal Users Knowledge Discovery & Surfacing
  13. 13. Authoritative content centralized - single source of truth Knowledge workers no longer waste time finding or re-creating information Eliminate intense manual resources for processing, classifying and tagging historical content ($2.4M savings) Expected payback expected within one and a half years In summary Recommendations: Focus on people, process, content, and technology A journey with multiple stages Dont over engineer it Automate
  14. 14. Questions?
  15. 15. SMARTLOGIC AMERICAS 560 S. WINCHESTER BLVD, SUITE 500 SAN JOSE, CALIFORNIA, 95128 TEL: 408 213 9500 FAX: 408 572 5601 717 KING STREET, SUITE 340 ALEXANDRIA, VIRGINIA, 22314 1 BROADWAY CAMBRIDGE, MASSACHUSETTS, 02142 SMARTLOGIC EUROPE, MIDDLE-EAST AND AFRICA 14 GREVILLE STREET LONDON, EC1N 8SB TEL: +44 (0)203 176 4500 FAX: +44 (0)207 785 7014 WWW.SMARTLOGIC.COM INFO@SMARTLOGIC.COM 2014 SMARTLOGIC INC