W1 - ICT922 Digital transformation and Cloud Computing (1).pptx

MIT : ICT922 Digital Transformation and Cloud Computing LECTURE 1 Understanding Digital Transformation 1  Resources Prescribed Text Erl T., Stoffers R. (2021) A Field Guide to Digital Transformation,1/e Pearson Education R...

MIT : ICT922 Digital Transformation and Cloud Computing LECTURE 1 Understanding Digital Transformation 1  Resources Prescribed Text Erl T., Stoffers R. (2021) A Field Guide to Digital Transformation,1/e Pearson Education Recommended Readings Haque E. (2020) Digital Transformation Through Cloud Computing (Ch 1and 2) Whitepapers Understanding digital transformation: A review and a research agenda 2 Week 1: Lesson Learning Outcomes  Establish the overall purpose and scope of digital transformation  Learn how business, technology, data and people must all align for a harmonious transformation 3 What is Digital Transformation?  Attempt to change, upgrade and extend an organization’s business models and technologies  Enables organization to:  Gain value by significantly improving what it has been doing  Gain value by introducing new things  Impacts organization’s:  Business models and processes  Automation and data science technologies  Human workers and culture 4 Business, Technology, Data and People  Four primary factors  Business:  the purpose, mission and/or the primary activities carried out by an organization  Data intelligence:  data that is of value to the organization and is relevant and 5 meaningful to the organization’s business Digital Transformation and Business  New level of growth and effectiveness by transforming:  How business relates to the outside world, and….  How the business operates internally A successful digital business transformation is enabled by the successful application of contemporary technology and data intelligence, 6 Contd…  Significantly reshape and enhance many aspects of an organization’s business, including:  Expanding existing products and services to new customers and markets  Launching new products and services in new markets  Speed of market penetration and development  Leveraging data for business advantage  Enhancing customer interaction experiences  Operating efficiency and automation levels  Agility in adapting to change  Collaboration with business partners 7 Digital Transformation and Technology Automation Data Science Technologies Technologies  Cloud Computing  Big Data Analysis  Blockchain and Analytics  Internet of Things  Machine Learning (IoT)  Artificial Intelligence  Robotic Process (AI) 8 Contd…  Empower business capabilities in two primary areas:  Improved and new forms of automation  More meaningful and responsive data intelligence  Technology innovations are driven by new business requirements, influencing the relationship between automation and human workers.  Innovations in technology enable the creation, collection, and processing of 9 Digital Transformation and Data  Utilizing contemporary data science in digital transformation can provide an organization with substantial "data intelligence," allowing it to:  Gain insights into operations  Understand market or community trends  Analyze customer history and behavior  Evaluate existing products and services  Identify opportunities for new products and services 10 Contd…  Tip:  Data can only provide intelligence if it has intelligence to give.  Data intelligence needs to be carefully created and maintained. 11 Digital transformation and People  For example:  Automating tasks previously done manually by human workers  Retraining and reallocating workers to more meaningful tasks  Needing skilled workers to implement and maintain automation technologies  Developing new skills to produce and utilize data intelligence  Retraining workers affected by changes in business models and processes  Hiring new workers for new products and supporting business processes 12 Contd…  Caution:  Digital transformation initiatives are more prone to failure when the potential impact on people in organizations is overlooked or not properly considered during planning stages.  This is where strong leadership is often essential. 13 Digital transformation and Organizations and Solutions  An organisation’s transformation relates to and impacts its business, technology, data and people.  To advance digital transformation, the organisation must develop solutions that automate tasks and provide data intelligence, each addressing various related business14 Contd…  An organization will typically end up building multiple digital transformation solutions that share resources, such as infrastructure and databases as part of a greater platform. 15 Next Week – What’s Coming Up?  Digital transformation automation technology: Cloud Computing  Understanding cloud computing  Explore cloud service models  Leveraging cloud databases 16 17