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 due to a lack of understanding and effective utilization of data within their culture. 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 on the people, processes, and technology through analytics, literacy, governance, process management, and data inventory management. The authors introduce the 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, Traditionalist, and Progressive. Each culture type is carefully dissected, revealing associated challenges and opportunities, uncovering suitable strategies in the process. Developing a worthy data culture necessitates a shift in mindset and the development of relevant skills across the organization. Building a Data Culture is your roadmap to fostering data literacy, promoting data-driven decision-making, and cultivating a data-driven mindset. What You'll Learn:
• Assess your organization's current data culture
• Identify cultural strengths and weaknesses within your organization
• Develop a data governance program
• Define data policies and standards and establish decision-making processes
Who This Book is For: Professionals and leaders across various industries who are interested in building a data culture within their organizations. The typical reader may have a background in data management, analytics, business intelligence, or technology, but the book is designed to be accessible to a wide range of readers with varying levels of expertise.
Author(s): Gary W. Griffin, David Holcomb
Edition: 1
Publisher: Apress
Year: 2023
Language: English
Commentary: TruePDF | Full TOC | PDF/X-1:2001
Pages: 235
Tags: Data Mining And Knowledge Discovery; Systems And Data Security; Big Data; IT In Business; Business And Management: General
Table of Contents
About the Authors
Introduction
Foreword
About the Foreword Author
Chapter 1: Data Culture
What Is Culture?
Introduction to Organizational Culture
Culture and Culture Change
A Data Culture Perspective
Summary
Chapter 2: The Current State
Usage and Flow Data Culture Model (UFDCM)
Organizational Structures
Components of a Mature Data Culture
Charting Your Journey
Summary
Chapter 3: Organizational Vision and Data Strategy
Why Do We Need a Data Strategy?
Data Strategy and Organizational Strategy
Data Strategy and Data Culture Interaction
Overcoming Challenges in Data Culture Transformation
Data Strategy and Talent Development
A Survey of Data Culture Within Each Quadrant
Data Strategy in a Preservationist Culture
Data Strategy in a Protectionist Culture
Data Strategy in a Traditional Culture
Data Strategy in a Progressive Culture
Highly Regulated Industry Data Strategy (A Protectionist Example)
Summary
Chapter 4: Leadership and Change Management
Organizational Structures and the Data Governance Office
The Role of Leadership in Driving Change and Data Transformation
Building a Coalition of Champions and Advocates
Strategies for Effective Change Management
Fostering a Supportive Environment for a Data Culture
Summary
Chapter 5: Data Governance and Infrastructure
Data Culture and Data Governance
Data Governance: Librarian Initiatives
Modern Data Catalog (Cornerstone of Librarian Services)
Data Governance: Compliance/Security
Data Governance: Quality
Data Governance: Process Initiatives
Data Governance: Communication
Data Governance: Training
Data Governance in Each Culture Type
Data Governance in a Progressive Culture
Data Governance in a Preservationist Culture
Data Governance in a Traditional Culture
Data Governance in a Protectionist Culture
Summary
Chapter 6: Data Literacy and Skills Development
Promoting Data Literacy in a Data Culture
Designing and Implementing Data Training Programs
Continuous Learning and Data Skills
Data Literacy in a Traditional Culture
Data Literacy in a Protectionist Culture
Data Literacy in a Preservationist Culture
Data Literacy in a Progressive Culture
Triggers for Data Literacy
Summary
Chapter 7: Embedding Data into Decision-Making
Data Analytics and the Data Culture Model
Leveraging Data Analytics for Insights
Balancing Data Flow for Effective Analytics
Data Privacy and Security Within the Data Culture Model
Establishing Robust Data Privacy Measures
Impact of Data Privacy and Security on Data Usage
Building Trust and Democratization Through Security
Analytics, Privacy, and Security in a Traditional Data Culture
Analytics, Privacy, and Security in a Protectionist Data Culture
Analytics, Privacy, and Security in a Preservationist Data Culture
Analytics, Privacy, and Security in a Progressive Data Culture
Summary
Chapter 8: Nurturing Communication and Collaboration
Focus, Collaboration, and Communication Interplay
A Mature Data Culture Enhances Communication and Collaboration
Communication, Collaboration, and Breaking Down Silos
Communication and Collaboration Between Data Professionals and Business Stakeholders
Communication and Collaboration in the UFDCM
Communication and Collaboration in a Progressive Culture
Communication and Collaboration in a Traditional Culture
Communication and Collaboration in a Preservationist Culture
Communication and Collaboration in a Protectionist Culture
Summary
Chapter 9: Measuring Success and Sustaining the Data Culture
Establishing Metrics and Indicators
Aligning Metrics with Organizational Objectives
Measuring Progress and Success
Evaluating Data-Driven Decision-Making
Assessing Data Culture Adoption
Continuously Refining the Data Culture Strategy
Adapting to Organizational Changes
Strategies for Sustaining the Data Culture
Summary
Chapter 10: Case Studies and Lessons Learned
Industries and the UFDCM
Progressive Culture
Traditional Culture
Preservationist Culture
Protectionist Culture
Case Studies and Experiences
Case Study #1
Case Study #2
Case Study #3
Case Study #4
Summary
Bibliography
Index
