Preparing for a Digital Transformation Initiative Training

Digital transformation is a catch phrase for profound and rapid business change based on the use of many different technologies and development techniques. When starting this necessary journey, it can appear so complex that an organization doesn’t really know where to begin or what is the right path. This 1-day digital transformation course presents a big-picture view of online courses digital transformation with the singular goal of equipping the attendee with the understanding and confidence to guide and implement a successful program.

This course serves as a lead-in for various curricula including, but not limited to, Cloud Computing, Big Data, Data Science, Project Management, Change Management, and Agile/DevOps.

This 1-day course is intended as an overview for managers who want to have an insightful understanding of digital transformation and as a starting point for practitioners who will subsequently deal with the details of its implementation using Agile/DevOps, Cloud, Data Science and other related technologies. Participants should have a general awareness of business processes and computing but there are otherwise no pre-requisites.

Preparing for a Digital Transformation Initiative Training Delivery Methods

• After course instructor coaching

Preparing for a Digital Transformation Initiative Training Course Benefits

• Explain the key elements of digital transformation and its potential advantages
• Examine all four pillars of digital transformation
• Outline key leadership and practitioner roles for successful transformation
• Compare and contrast the key modern technologies and development approaches central to digital transformation

Starter’s Guide to Digital Transformation for Managers and Practitioners Outline

Chapter 1 - Digital Transformation Overview

• What is Digital Transformation (DT)
• Digital Transformation Has Gone Mainstream
• Budget and Spending on DT
• Megatrends
• No Agreed Definition but Concepts Reoccur
• Similar Thoughts – Different Words
• Consensus Definition
• Alternative Definition
• Enabling Technologies Overview
• Technology Grouping
• Layering on Cloud?
• The Why – Positively Impacting Business
• Reimagined Business Processes
• Better Customer Experience
• Better Employee Experience
• Reduced Business Risk
• Improved Cost Control
• Competitive Advantage
• Adopt, Adapt, Achieve
• Case Studies
• Review Questions
• References
• Chapter Summary

Chapter 2 – The What and How

• The How
• Technology
• People
• Processes
• Most Digital Transformations Fail
• Success Factors
• Digital Culture
• Proper Planning
• Organization Capability
• Directional Innovation
• The Upstart Threat
• Horizontal Competition
• Vertical Competition
• Virtual Restaurants and Supermarkets – Really?
• Transformative Business Models
• Transformative Business Models (continued)
• Adding Revenue Streams
• Driving Factors
• Westerman Model – What can you really do?
• Technology Transformation
• Process Transformation
• Innovation Transformation
• New Thinking and New Mindsets
• Review Questions
• References
• Chapter Summary

Chapter 3 – Digital Technology Overview

• All Roads Lead to Cloud
• Agile / DevOps Mindset
• Elements of Agile – Empirical Proof
• Evolution of DevOps
• Technology Layers
• Data Science and Big Data
• Data Science Roles
• IoT Internet of Things – the Great Enabler
• AWS, Azure and Google
• Cloud Capabilities and Risks
• Cloud Enabled Data Science and Big Data
• AI and Machine Learning
• AI Myths and Reality
• Quantum Computing for AI
• Google Sycamore and Singularity
• Instantaneous response to customer needs
• Review Questions
• References
• Chapter Summary

Chapter 4 – Roles and Leadership

• Leadership, Leadership, Leadership
• The CEO and the CIO
• Key Executive Alignment
• The CMO Role
• Necessary Organization Changes
• Sweeping Changes and Tough Decisions
• A new CIO Challenge
• Attracting New Customers
• Keeping Customers Loyal
• Establishing a vision for employees
• IT Roles more important than ever
• IT and Business Alignment
• DT Champions at all levels
• Data Transformation Technology Layers
• Customer Journey Maps
• Customer Journey Maps (continued)
• Upskilling and Reskilling Current Workers
• Innovation Camps and Labs
• Innovation Camps and Labs (continued)
• Model-Based Engineering
• Predicting Outcomes
• Simulate Before Doing
• Progressive Improvement
• Root Cause Analysis
• Root Cause Analysis (continued)
• Establishing the Business Outcome Goal
• Working Backward and Forward
• Review Questions
• References
• Chapter Summary

Chapter 5 – Course Summary

• Closing Thoughts
• Next Steps
• Related Courses
• Lagniappe