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Knowledge Management Across
the Product Lifecycle
05-Nov-2014
Douglas Arnold | douglas_arnold@merck.com
Adam Duckworth | adam_duckworth@merck.com
1
2
Introductions
Adam Duckworth
Associate Director,
MMD Knowledge Management COE
Merck, Inc.
Douglas Arnold
Director, Account Manager of
Knowledge Management,
MMD Information Technology
Merck, Inc.
Business IT
$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
Key Company
Facts
3
4
The Business Challenge
Product Technical Knowledge Domain
Product
Has a clear and direct
relationship with a specific
product or small subset of
products starting with PCC (Pre-
clinical Candidate) approval
through to product retirement.
Knowledge
All that is known in a
particular field such as
facts, truths, principles,
data, information and
knowledge. Includes both
explicit and tacit.
Technical
Pertaining to the science,
techniques and equipment
to develop, manufacture
and characterize Merck
products across the
lifecycle.
PTK
Product Technical Knowledge: The data, information and knowledge pertaining to the
science, techniques and equipment to develop, manufacture and characterize Merck products
across the lifecycle, and which pertains to a specific product of small subset of products.
KM Architecture
Expertise Connectivity
ProcessesProducts
Knowledge Management
Capabilities
Explicit
documented to
read & review
Tacit
held by people,
who interpret &
extrapolate
Retention of Critical
Knowledge (ROCK)
Product Technical
Knowledge
Technology Platform
Virtual Technical
Network (VTN)
A Practical Approach
to Managing
Knowledge, a Case
Study of the
Evolution of KM at
Merck
--ISPE (Nov/Dec 2013)
For more
information…
7
Product Technical Knowledge (PTK) Capability
Intent
Product Technical Knowledge (PTK) Capability
A capability stewarded by the MMD KM CoE to deliver business
outcomes through improvement in the flow of PTK across
organizations and the product lifecycle.
Key components include:
One Minute to Product Technical Knowledge
• Knowledge Stewardship
• Business Process & Content
• Business Semantics Management
• Knowledge Flow Analytics
• Technology Efficiency & Governance
• KM Strategy
• Knowledge and Knowledge Flow
Valuation
Merck PTK Taxonomy
Product Knowledge
Technical Knowledge
System
Business Semantics Mgmt.
Business Semantics Management
Relationships and non-
preferred terms drive auto-
classification.
Standard taxonomy
improves findability and
knowledge reuse.
Taxonomy Evolution
• Core Principal: we will not get this perfect. Even if we did,
things change around us and we will need to adapt.
• We have created an environment for continuous
improvement…
– Taxonomy Change Management
• The capability for evaluating the effectiveness of our taxonomy and
implementing changes that effect the terms users have to choose from.
– Metadata Change Management
• The capability for updating the metadata already applied to
content in response to changes in the taxonomy.
10
11
Introductions
Adam Duckworth
Associate Director,
MMD Knowledge Management COE
Merck, Inc.
Douglas Arnold
Director, Account Manager of
Knowledge Management,
MMD Information Technology
Merck, Inc.
Business IT
What is the Content Processing System?
• The Content Processing System will:
– Process documents contained in repositories like SharePoint Team
spaces and file shares – other sources can be added
– Based on a defined taxonomy, applies intelligent metadata tags which
allow users to easily locate and search for knowledge assets
• The initial Content Processing capabilities include:
– Taxonomy and Classification Service: Define taxonomies and the
business rules to establish relevant information tags for the assets
– Basic Profile and Visualization Service: Inventory the number of
documents assets in the domain of interest
– Content Processing: Workflow orchestration that applies the information
tags and that can consolidate documents into a standardized knowledge
library
– Bulk Classification and Tagging Service: Allows synchronization as
taxonomy matures over time
CPS: Process Flow
Incremental Process as needed
(for Delta changes only for 2nd
run)
Iterative review/
cleanup as needed
CPS: Pre Processing Analysis (Virtual)
•Workflow
Orchestration
•Kapow
•Extraction
• Inventories and Extracts
Content from Sources
•Transformation •Load
• Resolves Conflicts
• Calls Classification
• Loads Content to Target
• Performs Tagging
•Content
•Repositories
•SharePoint/Fileshare
•Historical Content
• SharePoint Commodity
TeamSpaces
• Files Shares
•SharePoint Services •SharePoint Enhanced
• Enterprise Term Store
• Enterprise Content Type
Hub
• Search Services
• TK-API and TK-Product
• Enhanced Search Capabilities
• Standardized Template and
Taxonomy driven navigation
•Taxonomy and
Classification
•Smartlogic
•Ontology Server
• Taxonomy Management
• Term Sync process with
SharePoint Term store
•Classification Server •Bulk Retagging Utility
• Classification Rules
• Auto Classification
• Classifies and Retags
Content (On-Demand)
CPS: Content Processing Pipeline (Physical)
•Workflow
Orchestration
•Taxonomy and
Classification
•Content
•Repositories
•Smartlogic
•Kapow
•SharePoint/Fileshare
•Extraction
• Inventories and Extracts
Content from Sources
•Transformation •Load
• Resolves Conflicts
• Calls Classification
• Loads Content to Target
• Performs Tagging
•Ontology Server
• Taxonomy Management
• Term Sync process with
SharePoint Term store
•Classification Server •Bulk Retagging Utility
• Classification Rules
• Auto Classification
• Classifies and Retags
Content (On-Demand)
•Historical Content
• SharePoint Commodity
TeamSpaces
• Files Shares
•SharePoint Services •SharePoint Enhanced
• Enterprise Term Store
• Enterprise Content Type
Hub
• Search Services
• TK-API and TK-Product
• Enhanced Search Capabilities
• Standardized Template and
Taxonomy driven navigation
General Benefits
“Yes”
• Reduced time to Onboard New Team Members 83%
• Improved Ability to Leverage Temporary Help 82%
• Reduced Time to Find Information 75%
• Greater Confidence in Accuracy of Information Found 81%
• Reduced Number of Documents Sent Through Email 95%
• Greater Confidence that Knowledge I Created Will Deliver
Value for product in Supply
88%
• Greater Confidence that Knowledge I Created Will Deliver
Value for other Development Programs
73%
• Avoided Moving Documents Between
Systems/Organizations
83%
• More Often Sought Information on My Own Before Asking
Someone Else
95%
• More Often Sought Information Before Beginning My
Work
88%
Flexible; Shift to Value
Knowledge
Seeking
Efficiency and
Productivity
Avoiding Rework
Time Tested Business Results
Development & Experimentation
• 70% say KM capability reduced cost
• 40% say we completed sooner
• 62% say use of KM capability resulted in a more robust process
Technology Transfer
• 60% say we increased speed, “right-first time” and reduced required FTE
• 45% say we completed sooner
Control Strategy Development & Specification Setting
• 70% say KM capability enabled us to complete this sooner
Filing Prep
• 92% say KM capability reduced the time to compile the filing!
• 57% say we completed the work sooner
Across all stages of
development… 75%
95%
Say KM capability enabled improved efficiency!
Say KM solution improved Teamwork &
Collaboration!
In Summary
• 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
Recommendations:
• Focus on people, process, content, and technology
• A journey with multiple stages
• Don’t over engineer it
• Automate
Backup Slides
Tools: Semaphore
Tools: Kapow

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KM World 2014 Presentation Duckworth_Arnold

  • 1. Knowledge Management Across the Product Lifecycle 05-Nov-2014 Douglas Arnold | douglas_arnold@merck.com Adam Duckworth | adam_duckworth@merck.com 1
  • 2. 2 Introductions Adam Duckworth Associate Director, MMD Knowledge Management COE Merck, Inc. Douglas Arnold Director, Account Manager of Knowledge Management, MMD Information Technology Merck, Inc. Business IT
  • 3. $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 Key Company Facts 3
  • 5. Product Technical Knowledge Domain Product Has a clear and direct relationship with a specific product or small subset of products starting with PCC (Pre- clinical Candidate) approval through to product retirement. Knowledge All that is known in a particular field such as facts, truths, principles, data, information and knowledge. Includes both explicit and tacit. Technical Pertaining to the science, techniques and equipment to develop, manufacture and characterize Merck products across the lifecycle. PTK Product Technical Knowledge: The data, information and knowledge pertaining to the science, techniques and equipment to develop, manufacture and characterize Merck products across the lifecycle, and which pertains to a specific product of small subset of products.
  • 6. KM Architecture Expertise Connectivity ProcessesProducts Knowledge Management Capabilities Explicit documented to read & review Tacit held by people, who interpret & extrapolate Retention of Critical Knowledge (ROCK) Product Technical Knowledge Technology Platform Virtual Technical Network (VTN) A Practical Approach to Managing Knowledge, a Case Study of the Evolution of KM at Merck --ISPE (Nov/Dec 2013) For more information…
  • 7. 7 Product Technical Knowledge (PTK) Capability Intent Product Technical Knowledge (PTK) Capability A capability stewarded by the MMD KM CoE to deliver business outcomes through improvement in the flow of PTK across organizations and the product lifecycle. Key components include: One Minute to Product Technical Knowledge • Knowledge Stewardship • Business Process & Content • Business Semantics Management • Knowledge Flow Analytics • Technology Efficiency & Governance • KM Strategy • Knowledge and Knowledge Flow Valuation
  • 8. Merck PTK Taxonomy Product Knowledge Technical Knowledge System Business Semantics Mgmt.
  • 9. Business Semantics Management Relationships and non- preferred terms drive auto- classification. Standard taxonomy improves findability and knowledge reuse.
  • 10. Taxonomy Evolution • Core Principal: we will not get this perfect. Even if we did, things change around us and we will need to adapt. • We have created an environment for continuous improvement… – Taxonomy Change Management • The capability for evaluating the effectiveness of our taxonomy and implementing changes that effect the terms users have to choose from. – Metadata Change Management • The capability for updating the metadata already applied to content in response to changes in the taxonomy. 10
  • 11. 11 Introductions Adam Duckworth Associate Director, MMD Knowledge Management COE Merck, Inc. Douglas Arnold Director, Account Manager of Knowledge Management, MMD Information Technology Merck, Inc. Business IT
  • 12. What is the Content Processing System? • The Content Processing System will: – Process documents contained in repositories like SharePoint Team spaces and file shares – other sources can be added – Based on a defined taxonomy, applies intelligent metadata tags which allow users to easily locate and search for knowledge assets • The initial Content Processing capabilities include: – Taxonomy and Classification Service: Define taxonomies and the business rules to establish relevant information tags for the assets – Basic Profile and Visualization Service: Inventory the number of documents assets in the domain of interest – Content Processing: Workflow orchestration that applies the information tags and that can consolidate documents into a standardized knowledge library – Bulk Classification and Tagging Service: Allows synchronization as taxonomy matures over time
  • 13. CPS: Process Flow Incremental Process as needed (for Delta changes only for 2nd run) Iterative review/ cleanup as needed
  • 14. CPS: Pre Processing Analysis (Virtual) •Workflow Orchestration •Kapow •Extraction • Inventories and Extracts Content from Sources •Transformation •Load • Resolves Conflicts • Calls Classification • Loads Content to Target • Performs Tagging •Content •Repositories •SharePoint/Fileshare •Historical Content • SharePoint Commodity TeamSpaces • Files Shares •SharePoint Services •SharePoint Enhanced • Enterprise Term Store • Enterprise Content Type Hub • Search Services • TK-API and TK-Product • Enhanced Search Capabilities • Standardized Template and Taxonomy driven navigation •Taxonomy and Classification •Smartlogic •Ontology Server • Taxonomy Management • Term Sync process with SharePoint Term store •Classification Server •Bulk Retagging Utility • Classification Rules • Auto Classification • Classifies and Retags Content (On-Demand)
  • 15. CPS: Content Processing Pipeline (Physical) •Workflow Orchestration •Taxonomy and Classification •Content •Repositories •Smartlogic •Kapow •SharePoint/Fileshare •Extraction • Inventories and Extracts Content from Sources •Transformation •Load • Resolves Conflicts • Calls Classification • Loads Content to Target • Performs Tagging •Ontology Server • Taxonomy Management • Term Sync process with SharePoint Term store •Classification Server •Bulk Retagging Utility • Classification Rules • Auto Classification • Classifies and Retags Content (On-Demand) •Historical Content • SharePoint Commodity TeamSpaces • Files Shares •SharePoint Services •SharePoint Enhanced • Enterprise Term Store • Enterprise Content Type Hub • Search Services • TK-API and TK-Product • Enhanced Search Capabilities • Standardized Template and Taxonomy driven navigation
  • 16. General Benefits “Yes” • Reduced time to Onboard New Team Members 83% • Improved Ability to Leverage Temporary Help 82% • Reduced Time to Find Information 75% • Greater Confidence in Accuracy of Information Found 81% • Reduced Number of Documents Sent Through Email 95% • Greater Confidence that Knowledge I Created Will Deliver Value for product in Supply 88% • Greater Confidence that Knowledge I Created Will Deliver Value for other Development Programs 73% • Avoided Moving Documents Between Systems/Organizations 83% • More Often Sought Information on My Own Before Asking Someone Else 95% • More Often Sought Information Before Beginning My Work 88% Flexible; Shift to Value Knowledge Seeking Efficiency and Productivity Avoiding Rework
  • 17. Time Tested Business Results Development & Experimentation • 70% say KM capability reduced cost • 40% say we completed sooner • 62% say use of KM capability resulted in a more robust process Technology Transfer • 60% say we increased speed, “right-first time” and reduced required FTE • 45% say we completed sooner Control Strategy Development & Specification Setting • 70% say KM capability enabled us to complete this sooner Filing Prep • 92% say KM capability reduced the time to compile the filing! • 57% say we completed the work sooner Across all stages of development… 75% 95% Say KM capability enabled improved efficiency! Say KM solution improved Teamwork & Collaboration!
  • 18. In Summary • 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 Recommendations: • Focus on people, process, content, and technology • A journey with multiple stages • Don’t over engineer it • Automate