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Predictive intelligence for data-dri...
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Seebacher, Uwe.
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Predictive intelligence for data-driven managers = process model, assessment-tool, IT-blueprint, competence model and case studies /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Predictive intelligence for data-driven managers/ by Uwe Seebacher.
Reminder of title:
process model, assessment-tool, IT-blueprint, competence model and case studies /
Author:
Seebacher, Uwe.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
xiii, 268 p. :ill., digital ;24 cm.
[NT 15003449]:
1. Predictive Intelligence and the Basic Economic Principles -- 2. Predictive Intelligence at a Glance -- 3. The Predictive Intelligence Ecosystem -- 4. The Predictive Intelligence Maturity Model -- 5. The Predictive Intelligence Self-Assessment -- 6. The Process Model for Predictive Intelligence -- 7. The Predictive Intelligence TechStack (PITechStack) -- 8. The Predictive Intelligence Team -- 9. The Predictive Intelligence Case Studies -- 10. Why It Remains Exciting.
Contained By:
Springer Nature eBook
Subject:
Predictive analytics. -
Online resource:
https://doi.org/10.1007/978-3-030-69403-6
ISBN:
9783030694036
Predictive intelligence for data-driven managers = process model, assessment-tool, IT-blueprint, competence model and case studies /
Seebacher, Uwe.
Predictive intelligence for data-driven managers
process model, assessment-tool, IT-blueprint, competence model and case studies /[electronic resource] :by Uwe Seebacher. - Cham :Springer International Publishing :2021. - xiii, 268 p. :ill., digital ;24 cm. - Future of business and finance,2662-2467. - Future of business and finance..
1. Predictive Intelligence and the Basic Economic Principles -- 2. Predictive Intelligence at a Glance -- 3. The Predictive Intelligence Ecosystem -- 4. The Predictive Intelligence Maturity Model -- 5. The Predictive Intelligence Self-Assessment -- 6. The Process Model for Predictive Intelligence -- 7. The Predictive Intelligence TechStack (PITechStack) -- 8. The Predictive Intelligence Team -- 9. The Predictive Intelligence Case Studies -- 10. Why It Remains Exciting.
This book describes how companies can easily and pragmatically set up and realize the path to a data-driven enterprise, especially in the marketing practice, without external support and additional investments. Using a predictive intelligence (PI) ecosystem, the book first introduces and explains the most important concepts and terminology. The PI maturity model then describes the phases in which you can build a PI ecosystem in your company. The book also demonstrates a PI self-test which helps managers identify the initial steps. In addition, a blueprint for a PI tech stack is defined for the first time, showing how IT can best support the topic. Finally, the PI competency model summarizes all elements into an action model for the company. The entire book is underpinned with practical examples, and case studies show how predictive intelligence, in the spirit of data-driven management, can be used profitably in the short, medium, and long terms.
ISBN: 9783030694036
Standard No.: 10.1007/978-3-030-69403-6doiSubjects--Topical Terms:
3487786
Predictive analytics.
LC Class. No.: HD30.2 / .S44 2021
Dewey Class. No.: 658.05
Predictive intelligence for data-driven managers = process model, assessment-tool, IT-blueprint, competence model and case studies /
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process model, assessment-tool, IT-blueprint, competence model and case studies /
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1. Predictive Intelligence and the Basic Economic Principles -- 2. Predictive Intelligence at a Glance -- 3. The Predictive Intelligence Ecosystem -- 4. The Predictive Intelligence Maturity Model -- 5. The Predictive Intelligence Self-Assessment -- 6. The Process Model for Predictive Intelligence -- 7. The Predictive Intelligence TechStack (PITechStack) -- 8. The Predictive Intelligence Team -- 9. The Predictive Intelligence Case Studies -- 10. Why It Remains Exciting.
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This book describes how companies can easily and pragmatically set up and realize the path to a data-driven enterprise, especially in the marketing practice, without external support and additional investments. Using a predictive intelligence (PI) ecosystem, the book first introduces and explains the most important concepts and terminology. The PI maturity model then describes the phases in which you can build a PI ecosystem in your company. The book also demonstrates a PI self-test which helps managers identify the initial steps. In addition, a blueprint for a PI tech stack is defined for the first time, showing how IT can best support the topic. Finally, the PI competency model summarizes all elements into an action model for the company. The entire book is underpinned with practical examples, and case studies show how predictive intelligence, in the spirit of data-driven management, can be used profitably in the short, medium, and long terms.
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based on 0 review(s)
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EB HD30.2 .S44 2021
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