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Demystifying digital transformation : non-technical toolsets for business professionals thriving in the digital age
Author
Title
Demystifying digital transformation : non-technical toolsets for business professionals thriving in the digital age / Attul Sehgal.
ISBN
1484294998
9781484294994
9781484294987
148429498X
Edition
[First edition].
Publication
New York, NY : Apress, [2024]
Physical Description
1 online resource (416 pages) : illustrations
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
Equip yourself with tools to approach digital transformation within your organization successfully. Today, over 80% of digital transformation engagements fail to reach their objectives (as reported through a survey by Couchbase). The challenge to overcome is that the pace of change in digital has left business users falling behind. Geared towards non-technical professionals, this book seeks to get executives on track to lead this innovation wave. Data as the prime lever in this innovation wave has accelerated the pace of change from earlier innovation waves by 25 years. Companies are finding it hard to adapt as their internal processes do not allow such rapid changes. Companies are stuck with outdated tools to manage DX projects. This leads to outsourcing the responsibility for DX to IT teams and outside system developers and causing great problems. Toolsets from data visualization, simulated prototyping, video editing and Whiteboarding will be introduced and simplified to show you can use simplify them to deliver on your business goals. Case studies that feature the digital transformation journeys of companies like Hertz, BBC, Domino's Pizza and more will be explored.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version:
Format
Books / Online
Language
English
Added to Catalog
April 02, 2024
Bibliography
Includes bibliographical references and index.
Contents
Intro
Contents
About the Author
Acknowledgments
Preface
Where Do You See Yourselves on the Digital Transformation Journey?
Chapter 1: Introduction to Digital Transformation
Setting the Stage
Great to Gone
A World in Transformation
Customer
Domino's Pizza Driving over 2500% Growth (2004-2018) Through Digital Transformation
Innovation
Competition
Data
DBS the 22,000-Person Start-Up
Value
Conclusion
Chapter 2: Unleashing the Power of Data
Introduction
The New Market Environment
How Did We Get Here?
What Are These Waves of Innovation?
Innovation Effects on Our Day-to-Day Processes
Case Example: Landis Car Hire - Digital Front-End Redesign
Introducing Simplified Tools for Whiteboarding, Video Making, Wireframing, and Data Analysis
Introducing Big Data, Data Warehousing, and the Data Lake
What Does Data Look Like?
How Does It Build into a Data Lake?
What Do the Files in a Data Lake Look Like?
What Is Driving the Data Growth?
Introducing Data Visualization
Case Example - Landers Car Hire
Introducing Basic Statistics
Mean, Mode, and Median
Standard Deviation and Quartiles
Statistics and Parameters
Introducing Business Intelligence and Data Management
Dashboarding
Conclusion
Chapter 3: Improving Productivity with New Digital Toolsets
Whiteboarding Using Miro
Prototyping Our Solution Using MarvelApp
Video Creation Using Lumen5
Manipulating Large Datasets Using Microsoft Power BI
Data Visualization Using Power BI
Conclusion
Chapter 4: Delivering Digital Transformation Through Business Outcomes
Introduction
Can Buying a Car Be Considered a True Financial Investment?
Why Some Companies Fail with Digital Projects and Others Succeed
How Unclear Digital Transformation (DX) Outcomes Contribute to Digital Transformation Failure
Assessing Digital Transformation (DX) Effectiveness
Case Example: Bigview Water Ltd
Aligning Digital Transformation to Business Goals
Schmarzo Economic Digital Asset Valuation Theorem
A Way to Build Insight-Driven Use Cases for DX Success
Delivering Business Outcomes - Automotive Sector
Conclusion
Chapter 5: Exploring Data Mining and Algorithms
Introduction
A Cure for Cancer Through Artificial Intelligence (AI)?
Data Mining, Algorithms, and Digital Transformation
Data Mining
Analytics Approaches
Introducing Algorithms
Machine Learning Algorithms
Supervised Machine Learning
Unsupervised Machine Learning
Common Machine Learning Algorithms
Neural Networks
Generative AI Algorithms - As Explained by ChatGPT
Problems with Training Machine Learning Algorithms
How Can the Business Owner Size a Data Project?
Analysis of Watson Health Failure
Conclusion
Chapter 6: Groundbreaking Digital Innovations
Introduction
Subjects
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