Digital Transformation Success: Achieving Alignment and Delivering Results with the Process Inventory Framework

Contents
About the Author
Introduction
Part 1: Foundations for Success
	Chapter 1: The Key to Digital Transformation Success
		Nokia’s Mobile Phone Business
		Creative Destruction in the Age of Digitization
		Digital Transformation Defined
		State of Digital Transformation
		Why Digital Transformations Fail
		Process Is the Common Language
		The Process Inventory Framework
		The Digital Transformation Journey
		Framework Implementation Considerations
		Key Takeaways
	Chapter 2: Overview of the Process Inventory Framework
		The Origins of the Process Inventory Framework
		The Process Inventory Framework
		Process Inventory
			Definition
			Quality Is Paramount
			Process Naming
			Maintenance
			Process Ownership
			Omnichannel Processes
			Outsourced Processes
			Integration with Business Capability Model and Standard Process Models
			Process Mining
			Process Inventory Metadata
		Sourcing Process Metadata
			Integrated Process Metadata Model
			Conceptual Architecture
			Exporting the Common Language
		Process Modeling and Metadata
			Leveraging Metadata Libraries
			Participants
			Events
			Systems
			Data Objects
			Controls
		Customer Personas and Customer Journeys
			Linkage to Process Inventory Framework
		Value Streams
		Key Takeaways
	Chapter 3: Defining the Digital Transformation Program
		John Deere’s Digital Transformation
		Digital Strategy Trends
			Business Model Disruption
				Democratizing Innovation
				Focus on the Customer
				Data as an Asset
		Defining the Digital Program
			Assess the Environment
			Define the Digital Strategy
			Reimagine Operating Model
			Develop and Manage Transformation Roadmap
		Establishing a Process Inventory Strategy
		Key Takeaways
Part II: Applying Process Inventory to Transform Ways of Working
	Chapter 4: Driving Operational Excellence
		The Impact of the Toyota Way
		Organizational Inefficiencies and Complexity
		Operational Excellence
			Keys to Operational Excellence
			Operational Excellence Outcome
		Lean Six Sigma
		Lean Six Sigma Principles
			Principle #1: Focus on the Customer
			Principle #2: Identify and Understand How Work Gets Done
			Principle #3: Manage, Improve, and Smooth the Process Flow
			Principle #4: Remove Non-value-added Steps and Waste
			Principle #5: Manage by Fact and Reduce Variation
			Principle #6: Involve and Equip the People in the Process
			Principle #7: Undertake Improvement Activity in a Systematic Way
		Process Inventory Enhances Lean Six Sigma Effectiveness
			Sustained Knowledge Management
			Transparency
			Ownership Model
			Cross-Functional Coordination
			Leveraging Technology to Design Improvement
		Additional Operational Excellence Methods
			Enterprise Architecture
			Data Governance
			Risk Management
			Operating Model Design
			Supply Chain Management
			Customer Experience
			Process Inventory Powers Operational Excellence
		Key Takeaways
	Chapter 5: Transforming the Change Process
		What You Will Learn
		BBC Digital Media Initiative Transformation Failure
		Defining Change
		Challenges in Executing Change
		A Vision for Change Fueled by Process Inventory
		The Change Initiative Process
		Develop Strategic Plans
			Perform Analysis
			Define the Vision
			Defining Action Plans
		Portfolio Planning Process
			Identify Initiative
			Develop Business Cases
			Evaluation and Selection
		Requirements
			Waterfall Business Requirements
			Agile User Stories
			Top Challenges in Creating High-Quality Requirements
			Benefits of Documenting Requirements After Processes
			Risk and Compliance Requirements
		Testing
			Benefits of Aligning Test Script to Process
		Organizational Change Management
			Assess Organization
			Develop Plans and Designs
			Implement Change
		Project Management
			Process Inventory Strengthen Project Management
			Project Planning and Work Estimation
			Monitoring Progress
			Process Aligned Status Reporting
			Tollgate to Production
		Key Takeaways
	Chapter 6: The Technology Path to Digitization
		Netflix, Digital Leader
		Embracing Digital Technologies
		Intelligent Process Automation (IPA)
			Defining the Intelligent Process Automation Program Charter
			Discovery and Assessment
			Process Design and Optimization
			Development and Testing
		Data-Centric AI
			State of Data Quality
			Process Inventory Provides an Enterprise Labeling Schema
			Use Cases for Operational Excellence
		Business-Led Modular Architectures
			Anchoring Microservice Design to Process Inventory
		Enabling Enterprise Architecture Design
			Enterprise Architecture Frameworks
			Translate Business Strategy into IT Strategy
			Create Transparency
			Application Portfolio Management
			Define Target State Vision and Roadmap
		Key Takeaways
	Chapter 7: Strengthening Risk Management
		Deepwater Horizon Oil Spill
		Importance of Risk Management
		Enterprise Risk Management
		Opportunities in Enterprise Risk Management
			Moving Beyond Qualitative Risk Assessments
			Need to Improve Risk Data
			Risk Operating Model Opportunities
		The Future of ERM Fueled by Process Inventory
		Defining the Enterprise Risk Management Framework
		Ignite ERM of the Future with Data Excellence
			High-Quality GRC Risk Data
			Data-Driven Risk Insights
		Risk Assessment Examples
			Risk Taxonomy
			Integrated Risk Assessment
			Recertification of Process Inventory
			Business Continuity Risk
			Compliance Risk
			Operational Risk
			Outcome of the Integrated Risk Assessment Approach
		Key Takeaways
Part III: Implementing the Process Inventory Framework
	Chapter 8: The Process Inventory Accountability Model
		Driving Employee Engagement at Spotify: Balancing Autonomy and Accountability
		Establishing a Culture of Accountability
		Process Inventory Framework Operating Model
		Process Center of Excellence (COE)
			Organizational Structure
			Process COE Process Inventory
			Lead Process Delivery
				Accountabilities
				Processes
				Required Competencies
			Manage Process Demand
				Accountabilities
				Processes
				Required Competencies
			Deliver Process Inventory and Deliver Process Models
				Accountabilities
				Processes
				Required Competencies
			Control Tower
				Accountabilities
				Processes
				Required Competencies
		Business/Functional Areas
			Process Owner
			Risk Owner
			Product Manager
			Subject Matter Experts
			Data Stewards
		Technology
			IT Asset Management
			Enterprise Architecture
		Customer Experience (CX)
		Risk
			Second Line of Defense
		Key Takeaways
	Chapter 9: Process Methods and Modeling Rules
		Unilever’s Digital Transformation of Supply Chain Through Modeling Processes
		The Importance of Models
		Guiding Principles for Success
		Process Inventory
			Construct Process Inventory
				Engage Business Leaders to Plan Effort
					Best Practices
				Perform Prep Work
					Best Practices
					Standards
				Conduct Interview Sessions
					Best Practices
				Align Metadata and Perform Reviews
					Best Practices
				Conduct Readout with Leadership
					Best Practices
		Process Models
			Construct Process Models
				Identify Scope via Process Inventory
					Best Practices
				Conduct Process Modeling Workshops
					Best Practices
					Standards
				Validate and Publish
					Best Practice
		Key Takeaways
	Chapter 10: Modeling Platform and Data Infrastructure
		FedEx Dataworks: Leveraging Operational Data for Business Performance
		Business Process Analysis Platform Market
		Key Business Process Analysis Features
			Modeling Capabilities
				General Modeling Capabilities
				Model Types Supported
			Process Mining
			Data Management Capabilities
			Process Analysis
			Reporting
			Governance
			User Experience
		Business Process Analysis Platform Selection and Setup
			Create Details Requirements
			Select Vendor Product
			Setup Platform
			Open Platform for Modeling
		Key Takeaways
References
	Chapter 1—The Key to Digital Transformation Success
	Chapter 2—Overview of the Process Inventory Framework
	Chapter 3—Defining the Digital Transformation Program
	Chapter 4—Driving Operational Excellence
	Chapter 5—Transform the Change Process
	Chapter 6—The Technology Path to Digitization
	Chapter 7—Strengthening Risk Management
	Chapter 8—The Process Inventory Accountability Model
	Chapter 9—Process Methods and Modeling Rules
	Chapter 10—Modeling Platform and Data Infrastructure
Index