Overview

This course provides an easy-to-understand introduction to Digital Transformation and how it relates to business, technology, data and people. Coverage includes the benefits, risks and challenges of Digital Transformation, as well as its business and technology drivers. Also explained are the characteristics of building customer-centric automation solutions, along with an insightful exploration of data intelligence origins, sources, methods and utilization types, as well as manual and automated intelligent decision-making delegated to humans and machines.

This course also delves into Digital Transformation automation environments by exploring the key contemporary technologies used to build Digital Transformation automation solutions, including AI, RPA, IoT, machine learning, blockchain, cloud computing and big data. The course begins by establishing the basic forms of data ingress used to bring data into organizations for use by data science technologies that provide increased data intelligence to both human decision-makers and AI-driven solutions with automated decision-making capabilities. After covering each of the primary Digital Transformation technologies, the course concludes with a comprehensive, step-by-step description of a business process as carried out by a customer-centric Digital Transformation solution.

Who Should Attend

• Managers/Consultants working to deliver strategic objectives


• Programme and Project Managers


• Product Managers


• IT and Business professionals at a senior and middle level


• Service Managers


• Anyone who is interested in Digital Transformation

• Understanding Digital Transformation


• Benefits of Digital Transformation


• Challenges of Digital Transformation


• Digital Transformation Business and Technology Drivers


• Understanding Customer-Centricity


• Product-Centric vs. Customer-Centric Relationships


• Relationship-Value Actions and Warmth


• Omni-Channel Customer Interactions


• Customer Journeys and Customer Data Intelligence


• Data Intelligence Basics


• Data Origins and Data Sources


• Data Collection Methods and Data Utilization Types


• Intelligent Decision-Making


• Computer-Assisted Manual Decision-Making and Conditional Automated Decision-Making


• Intelligent Manual Decision-Making vs. Intelligent Automated Decision-Making


• Direct-Driven Automated Decision-Making and Periodic Automated Decision-Making

• Understanding Digital Transformation Solutions and Distributed Solution Design Basics


• Data Ingress Basics, including File Pull, File Push, API Pull, API Push and Data Streaming


• An Introduction to Digital Transformation Automation Technologies


• Cloud Computing Basics and Cloud Computing as part of Digital Transformation Solutions


• Common Cloud Computing Risks and Challenges


• Blockchain Basics and Blockchain as part of Digital Transformation Solutions


• Common Blockchain Risks and Challenges


• Internet of Things (IoT) Basics and IoT as part of Digital Transformation Solutions


• Common IoT Risks and Challenges


• Robotic Process Automation (RPA) and RPA as part of Digital Transformation Solutions


• Common RPA Risks and Challenges


• An Introduction to Digital Transformation Data Science Technologies


• Big Data and Data Analytics and Big Data as part of Digital Transformation Solutions


• Common Big Data Risks and Challenges


• Machine Learning Basics and Machine Learning as part of Digital Transformation Solutions


• Common Machine Learning Risks and Challenges


• Artificial Intelligence (AI) Basics and AI as part of Digital Transformation Solutions


• Common AI Risks and Challenges


• Inside a Customer-Centric Digital Transformation Solution (a comprehensive, step-by-step exploration)


• Mapping Individual Digital Transformation Technologies to Solution Processing


• Tracking how Data Intelligence is Collected and Used in a Digital Transformation Solution