2. STRATEGIC RELEVANCE OF IDMP
Become
compliance ready
Increase
compliance
efficiency
Digitize R&D
across functions
Build advanced
analytics
• Implement basic
prerequisites to be
IDMP submission ready
• Increase master data
quality and
consistency
• Increase processual
compliance in
organization
• Raise automation as
much as possible
• Digitize processes and
systems across R&D
functions
• Integrate data
governance and data
management
• Develop and network
reporting structures
across the
organization
• Build predictive
analytics capabilities
within the company
IDMP initiatives can be used as a starting point to drive major strategic initiatives across
R&D functions, increase compliance, expedite digitalization, and build predictive
analytic capabilities within R&D
Preparing for IDMP can be a driver for major strategic
initiatives
3. DEFINE DESCRIBE EXECUTE
DISCOVER
DATA SUPPLY
TECHNOLOGY
PROCESS
CHANGE
MANAGEMENT
DATA ASSESSMENT
• Source Identification
• Source Mapping & Profiling
• Pilot product(s) quality analysis
DATA REMEDIATION
• Improve data quality
• Close source gaps
• Define data catalogues
DATA COLLECTION
• Agree product sequencing
• Standardize quality checks
ROADMAP and ROM ESTIMATION
• Define detailed project charters for
key enabling projects.
• Work with organization to identify
process owners and change agents.
• Identify opportunities to adopt
automated approaches during
execution phase.
• Identify dependencies and risks to
delivery or timelines.
• Formulate ROM investment and
value case.
• Draft implementation roadmap with
consideration to dependencies and
risks.
TECHNOLOGY SELECTION
• Define requirements, solution
architecture, future state
tools/technologies
TECHNOLOGY IMPLEMENTATION
• Implement solution for extracting,
maintaining and submitting IDMP
compliant data
TECHNOLOGY ASSESSMENT
• As-is & to-be landscape
• Assess interoperability
PROCESS ASSESSMENT
• Define impacted processes and
function interconnectivity
PROCESS CREATION
• Define future state processes
PROCESS IMPLEMENTATION
• Implement process transformation
• Create and Submit IDMP messages
• Maintain IDMP data compliantly
CHANGE ASSESSMENT
• Stakeholder Analysis
• Organizational Impacts
DATA LANDSCAPE ASSESSMENT
• Define the maturity of the current
data landscape – data governance,
master data management, data
quality framework
CHANGE IMPLEMENTATION
• System Superusers
• Change Agents supporting adoption
DATA GOVERNANCE DEFINITION
• Define requirements for:
• Controlled Vocabularies
• Data Standardization
• Data Ownership
• Data Stewardship
CHANGE PLANNING
• Training
• Communication Management
DATA
GOVERNANCE
DATA MANAGEMENT
• Implement processes and governance
for:
• Reference Data Management
• Master Data Management
• Data Quality
• Maintenance of Data Catalogues
Accenture’s four-phased approach to assess IDMP
readiness across these tiers.
Data analysis and mining Data mapping and extraction Data cleansing and enrichment Collect and maintain
IDMP compliant data
IDMP
submission
1 3
2 4 5
4. 4
Data analysis and
mining
Data mapping and
extraction
Data cleansing and
enrichment
Collect and maintain
IDMP compliant data
IDMP submission
1 3
2 4 5
IDMP SPOR check and enrichment
of database if necessary
Automation
AI tool
AI tool
Automation
Auto mapping
with e.g. MedDRA
Automation
Enabling IDMP with best in class technology solutions.