Abstract

Digital transformation is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. The evolution of digital transformation has taken place in different stages, from automation to radical shifts of business models via disruptive technologies of modern times. The emergence of Big Data and cloud computing has fundamentally changed the paradigm of computing in data transformation and delivery. Mountains of data of huge volume, velocity, and variety are converted into actionable intelligence that can be delivered in real-time on demand, anywhere and anytime around the globe. This paper examines the technology drivers for digital transformation that include Big Data, advanced analytics and artificial intelligence under an integrated cloud platform that provides ubiquitous on-demand services to modern enterprises driven by knowledge and relationship. Data from different sources are transformed into actionable intelligence via traditional and Big Data analytic platforms. It is distributed via an everything-as-a-service model to a community that consists of organizations, people, things and systems, anywhere and anytime around the globe. Analysis of business cases points to the importance of investing in digital transformation as illustrated by the success and failure of companies coping with the recent coronavirus pandemic. This paper provides an architecture that serves as a roadmap for the digital transformation of modern-day business enterprises.

Highlights

  • Digital transformation (DT) of an enterprise is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business

  • The digital transformation of the enterprise in the 21st century goes beyond automation and incremental process improvement

  • This paper examines the latest trends in technology innovations that drive the transformation of modern enterprises

Read more

Summary

Introduction

Digital transformation (DT) of an enterprise is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. Digital transformation has gone through different stages of technology advancements from automation of manual tasks to the radical changes of business models using the Internet, to the latest trends in Big Data analytics and cloud computing supporting a knowledge-driven and on-demand enterprise. This paper provides a conceptual model around emerging technology trends for the digital transformation of an organization to a real-time, sense-and-response, knowledgeand relationship-driven intelligent enterprise. The methodology deployed in the development of the model utilizes content analysis of literature in essential areas that include Big Data analytics, cloud computing, mobile technology, the Internet of Things, artificial intelligence, machine learning, and application program interfaces [1]. The beginning section explores the Big Knowledge Enterprise, which discusses the knowledge and relationship imperatives and Big Data It is followed by a discussion of mobile computing and artificial intelligence in transforming business enterprises. The paper concludes by analyzing the business implications illustrated by recent cases during the coronavirus pandemic

The Knowledge and Relationship Imperatives
The Big Data Enterprise
Mobility and Intelligence
Enterprise Under the Cloud
The Cloud Deployment
An Integrated Platform
Big Knowledge Analytics
The Digital Community
Business Implications
The Success of Walmart and Target
The Fallout of Sears and JCPenney
Warning for IKEA
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call