Demystifying Digital Transformation Non-Technical Toolsets for Business Professionals Thriving in the Digital Age

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 le...

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Bibliographic Details
Main Author: Sehgal, Attul
Format: eBook
Language:English
Published: Berkeley, CA Apress 2024, 2024
Edition:1st ed. 2024
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
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 Companies are stuck with outdated tools to manage DX projects.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. 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
Physical Description:XIV, 410 p. 291 illus online resource
ISBN:9781484294994