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Improve Knowledge Management from Developmentto Manufacturing with Content Intelligence
Who’s speaking today?
Adam DuckworthAssociate Director,
MMD Knowledge Management COEMerck, Inc.
Douglas ArnoldDirector, Account Manager of
Knowledge Management, MMD Information Technology
Merck, Inc.
Anne LapkinSVP Global Strategy
Smartlogic, Inc.
Agenda
A bit about Smartlogic
A bit about Merck
Merck challenges
Merck solutions
The outcome
What is content intelligence?
Questions?
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 enterprise’s 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
“
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.
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
The business challenge
The business challenge
Dimensions of the problem
Knowledge Flow Analysis
Identified gaps in the flow of small molecule product
technical knowledge
Proc
ess
Step
Know
ledg
e N
eede
d
Crea
ted
By
Use
d By
Expl
icit
or
Taci
t
Whe
re is
it
Flow
Impa
ct
Gap
/
Opp
ortu
nity
ExplicitDocument Repository
None
TacitPartially captured on RA
Rationale not consistently captured
BSafe operating
conditionsSafety Eng API Engineering Explicit
Document Repository
Not sure which is latest version
CSummary of lab
developmentAnalytical
Registration Team
ExplicitLocal team work space
No standard repository
DPerformance of similar product
Manufacturing Development TacitLocal, at manufacturing sites
Limited access to SMEs and no standard expectations for reporting
EKnowledge on
powder processing
Pharm Engineering,
ManufacturingManufacturing Tacit Unknown
No formal SME listing identified
AEarly Risk
AssessmentAPI 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
The business challenge
The solution
Product Knowledge
Technical Knowledge System
Content Intelligence
And the survey says…
Flexible; Shift to Value
Knowledge Seeking
Efficiency and Productivity
Avoiding Rework
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.
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
Information Scientists Business Analysts
Subject Matter Experts
Design and collaborative enrichment of ontologiesSemantic Modelling
• 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• Don’t over engineer it• Automate
Questions?
SMARTLOGIC – AMERICAS560 S. WINCHESTER BLVD, SUITE 500SAN JOSE, CALIFORNIA, 95128TEL: 408 213 9500FAX: 408 572 5601
717 KING STREET, SUITE 340ALEXANDRIA, VIRGINIA, 22314
1 BROADWAYCAMBRIDGE, MASSACHUSETTS, 02142
SMARTLOGIC – EUROPE, MIDDLE-EAST AND AFRICA14 GREVILLE STREETLONDON, EC1N 8SBTEL: +44 (0)203 176 4500FAX: +44 (0)207 785 7014
WWW.SMARTLOGIC.COMINFO@SMARTLOGIC.COM © 2014 SMARTLOGIC INC
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