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2023 | Buch

Data Culture Kapitel lesen Erstes Kapitel lesen

Building a Data Culture

The Usage and Flow Data Culture Model

verfasst von: Gary W. Griffin, David Holcomb

Verlag: Apress

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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 cultureIdentify cultural strengths and weaknesses within your organizationDevelop a data governance programDefine 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.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Data Culture
Abstract
It has often been said, “Culture eats strategy for breakfast." Peter Drucker, a noted 20th-century management philosopher and consultant, has been credited with this infamous saying. He highlights the significance of organizational culture in shaping the success or failure of strategic initiatives. Drucker emphasized that no matter how well crafted a strategic plan may be, an organization's underlying culture determines its ability to execute that strategy effectively.
Gary W. Griffin, David Holcomb
Chapter 2. The Current State
Abstract
Digital transformation spending is estimated to be $2.16 trillion in 2023, soaring to $3.4 trillion by 2026, according to Statista (2023). Organizations must understand who they are and what they want to be. English satirist Sir Terence Pratchett once wrote, “If you do not know where you come from, then you don't know where you are, and if you don't know where you are, then you don't know where you're going.” Understanding how your organization reached its current state of organizational and data culture will give you an honest assessment of “where you are.” Armed with understanding and a starting point, the migration from the current state to the desired state can be planned and executed. The future state organizational and data cultures must support each other to realize the organization’s mission and satisfy environmental demands such as compliance, regulatory, or execution standards.
Gary W. Griffin, David Holcomb
Chapter 3. Organizational Vision and Data Strategy
Abstract
The Art of War author Sun Tzu said, “Strategy without tactics is the slowest route to victory. Tactics without strategy is the noise before defeat.” This adage applies equally to business. Leadership must craft strong strategies with solid tactics to realize victory. In this chapter, we begin the discussion of creating the data strategy with an eye toward tactics. We emphasize that recognizing organizational culture is the starting point for creating a data strategy. The exact data strategy needed for a particular organization can be crafted by examining the current data culture through the Usage and Flow Data Culture Model (UFDCM). Like all key components of a mature data culture, data strategy is not a one-size-fits-all. Identifying the appropriate quadrant in the UFDCM for an organization sets the tone and direction of the data strategy.
Gary W. Griffin, David Holcomb
Chapter 4. Leadership and Change Management
Abstract
A compelling story about leadership comes from Stephen Covey’s classic book, The 7 Habits of Highly Effective People. The story goes like this. “A group of producers are cutting their way through the jungle with machetes. They’re the producers, the problem solvers. They’re cutting through the undergrowth, clearing it out. The managers are behind them, sharpening their machetes, writing policy and procedure manuals, holding muscle development programs, bringing in improved technologies and setting up working schedules and compensation programs for machete wielders. The leader is the one who climbs the tallest tree, surveys the entire situation, and yells, “You’re in the wrong jungle!” But how do the busy, efficient producers and managers often respond? “Shut up! We’re making progress.”
Gary W. Griffin, David Holcomb
Chapter 5. Data Governance and Infrastructure
Abstract
Noted Indian politician Piyush Goyal said, "The speed of decision-making is the essence of good governance." Goyal could have easily been talking about data governance because the "speed of decision-making is the essence of good data governance." One might ask, "What about data quality?" Data quality creates trust and increases confidence, allowing decision-makers to decide quicker. Therefore, data quality would be part of "good governance."
Gary W. Griffin, David Holcomb
Chapter 6. Data Literacy and Skills Development
Abstract
There’s an old Chinese proverb that says, “When planning for a year, plant corn. When planning for a decade, plant trees. When planning for life, train and educate people.” In today's data-driven world, organizations across industries are recognizing the immense value that data holds. To fully leverage this potential, building a data culture has become a strategic imperative. At the heart of a data culture lies data literacy, a fundamental competency that empowers individuals to effectively navigate, interpret, and communicate data to drive informed decision-making. This chapter explores the concept of data literacy within the context of a data culture, highlighting its significance and implications for organizations aiming to harness the power of data.
Gary W. Griffin, David Holcomb
Chapter 7. Embedding Data into Decision-Making
Abstract
Edward R. Tufte, in The Visual Display of Quantitative Information, is quoted as saying, “Above all else show the data.” In today's data-driven landscape, the successful cultivation of a robust data culture has become a paramount goal for organizations seeking to gain a competitive edge and navigate the complexities of the modern business environment. This chapter discusses two intertwined aspects that play a pivotal role in shaping a thriving data culture: data analytics and data privacy/security. By examining these aspects through the lens of the Usage and Flow Data Culture Model and considering the distinct culture types it encompasses—Protectionist, Preservationist, Traditional, and Progressive—we gain a comprehensive understanding of how data analytics and data privacy/security contribute to building a data culture that is not only efficient and informed but also ethically responsible.
Gary W. Griffin, David Holcomb
Chapter 8. Nurturing Communication and Collaboration
Abstract
Sir Malcolm Bradbury said, “Culture is a way of coping with the world by defining it in detail.” Selecting the right culture will offer a detailed definition or focus to achieving these goals. In the Usage and Flow Data Culture Model (UFDCM), each culture has varying degrees of Data Flow and Data Usage to realize the organization’s goals. Building a mature data culture goes beyond implementing advanced technologies and tools; it requires communication and collaboration. Communication and collaboration must be focused.
Gary W. Griffin, David Holcomb
Chapter 9. Measuring Success and Sustaining the Data Culture
Abstract
The Chinese philosopher Lao Tzu said, “The journey of a thousand miles begins with one step.” He wasn't wrong because you won't get anywhere unless you start the journey. In the journey toward building a successful data culture, organizations must recognize the significance of measuring success and implementing strategies to sustain the data culture transformation. The Usage and Flow Data Culture Model offers a framework of the different data culture types: Protectionist, Preservationist, Traditional, and Progressive. Each type requires unique approaches for measuring progress and fostering a data-driven environment that aligns with the organization's objectives and long-term vision. This chapter explores the importance of establishing metrics, measuring success, and developing sustainable data culture practices tailored to each quadrant of the UFDCM.
Gary W. Griffin, David Holcomb
Chapter 10. Case Studies and Lessons Learned
Abstract
Noted Swiss psychiatrist Carl Jung said, “You are what you do, not what you say you’ll do.” In the organizational context, employees expect the organization and its leadership to do what they say. Culturally, “what you do” is referred to as enacted values. Espoused values are “what you say you will do” (Venema, 2021). When the two are the same, the culture thrives. When they are not, the results can be devastating.
Gary W. Griffin, David Holcomb
Backmatter
Metadaten
Titel
Building a Data Culture
verfasst von
Gary W. Griffin
David Holcomb
Copyright-Jahr
2023
Verlag
Apress
Electronic ISBN
978-1-4842-9966-1
Print ISBN
978-1-4842-9965-4
DOI
https://doi.org/10.1007/978-1-4842-9966-1

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