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Building a data culturethe usage and flow data culture model /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Building a data cultureby Gary W. Griffin, David Holcomb.
Reminder of title:	the usage and flow data culture model /
Author:	Griffin, Gary W.
other author:	Holcomb, David.
Published:	Berkeley, CA :Apress :2023.
Description:	xix, 225 p. :illustrations, digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BusinessData processing.
Online resource:	https://doi.org/10.1007/978-1-4842-9966-1
ISBN:	9781484299661$q(electronic bk.)

Building a data culturethe usage and flow data culture model /
Griffin, Gary W.

Building a data culturethe usage and flow data culture model /[electronic resource] :by Gary W. Griffin, David Holcomb. - Berkeley, CA :Apress :2023. - xix, 225 p. :illustrations, digital ;24 cm.

1. Data Culture -- 2. The Current State -- 3. Organizational Vision and Data Strategy -- 4. Leadership and Change Management -- 5. Data Governance and Infrastructure -- 6. Data Literacy and Skills Development -- 7. Embedding Data into Decision Making -- 8. Nurturing Collaboration and Communication -- 9. Measuring Success and Sustaining the Data Culture -- 10. Case Studies and Lessons Learned.

In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture. The book emphasizes data strategy and data governance's pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate through analytics, literacy, governance, process management, and data inventory management. Behind all of this lies the authors' groundbreaking Usage and Flow Data Culture Model, a unique framework that enables organizations to evaluate and reshape their data culture based on distinct cultural types: Preservationist, Protectionist, Traditional, and Progressive. Building a Data Culture carefully dissects these cultural types, revealing the associated challenges and opportunities, and uncovering suitable strategies in the process.

ISBN: 9781484299661$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-9966-1doiSubjects--Topical Terms:

199085
Business
--Data processing.

LC Class. No.: HF5548.2 / .G75 2023

Dewey Class. No.: 658.05

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505 0 $a 1. Data Culture -- 2. The Current State -- 3. Organizational Vision and Data Strategy -- 4. Leadership and Change Management -- 5. Data Governance and Infrastructure -- 6. Data Literacy and Skills Development -- 7. Embedding Data into Decision Making -- 8. Nurturing Collaboration and Communication -- 9. Measuring Success and Sustaining the Data Culture -- 10. Case Studies and Lessons Learned.
520 $a In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture. The book emphasizes data strategy and data governance's pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate through analytics, literacy, governance, process management, and data inventory management. Behind all of this lies the authors' groundbreaking Usage and Flow Data Culture Model, a unique framework that enables organizations to evaluate and reshape their data culture based on distinct cultural types: Preservationist, Protectionist, Traditional, and Progressive. Building a Data Culture carefully dissects these cultural types, revealing the associated challenges and opportunities, and uncovering suitable strategies in the process.
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