Data, Disruption & Digital Leadership How to Win the Innovation Game /

Futterknecht, Philipp.

Data, Disruption & Digital Leadership How to Win the Innovation Game / [electronic resource] : by Philipp Futterknecht, Tobias Hertfelder. - 1st ed. 2023. - XXIII, 199 p. 93 illus. in color. online resource.

The H&F- Highspeed and Efficiency concept -- Practical examples to prevent known stumbling blocks -- Deep-diving of strategy development -- Technological catalysts of strategy implementation.

The Mindset for Data Driven Strategy Work. In the future, we will only be able to develop and implement successful strategies with the help of data. People Power Since Einstein published his theory of relativity, we know that the gravity produced by massive objects attracts other objects; and the greater the mass, the greater the force of attraction. It is the same in strategy projects—every participant has their own mass and their own impact on team synergy. The Importance of Data At the moment, we only use about five percent of the data that we collect. Changing this situation is a key driver for success in all kinds of strategy projects. This Guide Changes in data usage bring about a new equilibrium, and the chances of success using current methods and behaviors change with it. This book explains how to master these changes and provides you with all the tools you need. It is written to accompany your strategy process all the way from the initial vision right up to implementation and will help you maintain focus along the way. Target Groups This book is for owners and managers of innovative companies, decision-makers in strategy and innovation processes, anyone involved in digitization projects, and economics students. The Authors Philipp Futterknecht and Tobias Hertfelder are experts in strategy, innovation, and data networking, and love to share their knowledge of these exciting future-oriented domains. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

9783658416010

10.1007/978-3-658-41601-0 doi


Computer science.
Computer Science.

QA75.5-76.95

004
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