Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data-driven Management: A primer for modern corporate decision making

Data-driven Management: A primer for modern corporate decision making

Garritz, Julián
Seebacher, Uwe

Paperback

Business General

ISBN13: 9798740727141
Publisher: Independently Published
Published: Apr 19 2021
Pages: 70
Weight: 0.23
Height: 0.14 Width: 5.98 Depth: 9.02
Language: English
essentials is a series of books specially designed for readers who want to gain an overview of a topic in a short time. These books contain the essence of what is considered state of the art in the current professional discussion and in practice. essentials inform quick, straightforward and easy to understand.

Data-driven management (DDM) is on everyone's lips. New technologies offer unimagined opportunities if they are used with concept and competence. The buzzwords are Big Data, Blockchain, Artificial Intelligence (AI), Machine Learning or Predictive Marketing. But according to a recent study by Fujitsu, just 5% of all companies today can be considered data-driven, meaning that 95% of all organizations are flying blind on data. This represents a huge risk for all stakeholders. Moreover, in this context, many managers believe that simply buying an AI-IT solution will solve this data blindness problem, which is a huge fallacy. Because just like children in elementary school who first learn mental arithmetic and only then reach for the calculator, managers must first master and learn the basic concepts and competencies of data-driven management in order to be able to apply and use these new technologies in a meaningful and valid way.

This book briefly and concisely describes the path to data-driven management based on the authors' tried-and-tested process model. Without prior knowledge, you get a comprehensive insight into the subject matter with many relevant concepts and tips. The most important terms in the environment of data-driven management are explained. The process model shows and describes the individual steps simply and understandably for everyone, in order to quickly and effectively implement a stringent data-driven management without external experts and investments.

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