Chapter 1: Introduction to Digital Transformation -- Chapter 2: Unleashing the Power of Data -- Chapter 3: Improving Productivity with New Digital Toolsets -- Chapter 4: Delivering Digital Transformation through Business Outcomes -- Chapter 5: Exploring Data Mining and Algorithms -- Chapter 6: Groundbreaking Digital Innovations -- Chapter 7: Navigating the Technology Deluge -- Chapter 8: Introducing No Code/Lo Code AI Toolsets -- Chapter 9: Balancing Digital Transformation with Ethical Values -- Chapter 10: Digital Transformation - Tools to Thrive in the Digital Age -- Appendix 1: Coding Languages Used in Data Science -- Appendix 2: Business KPI Sources -- Appendix 3: Tutorial File -- Appendix 4: Chat GPT Shakespeare Sonnet on Digital Transformation.

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 Companies are stuck with outdated tools to manage DX projects.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. You will: Derive business outcomes and KPIs to successfully direct digital transformation Initiatives Work with new toolsets that business owners can use to effectively collaborate with data scientists, data analysts and data engineers Recognize valuable data and align data monetization with business goals.