Duration: 3h
Modality: In-person or Remote
Intended Audience: Business leaders, data practitioners, C-suite executives, and change agents seeking to foster a data-driven mindset and improve data literacy across their organizations.
Brief Description:
A 3-hour interactive session (90 min lecture + 90 min workshop) that explores the foundations of organizational culture, the characteristics of data-centric and data-driven companies, and practical strategies to build a sustainable culture of data literacy and stewardship.
Key Topics:
-
Fundamentals of organizational culture and its impact on transformation
-
Types of corporate culture and benefits of a strong data culture
-
Characteristics and maturity stages of data-driven organizations
-
Roles & responsibilities: CDO, data champions, stewards, and analytics translators
-
Principles of Data Mesh and “data as a product” thinking
-
Building data literacy: tracks, skills framework, and capstone projects
-
Change management: communication models, rituals, sponsorship, and governance
-
Tools and rituals to reinforce a zero-ego, inquisitive, consensus-driven environment
Long Description:
This course delves into why “culture eats strategy for breakfast” when implementing data-driven change, and how to shift from siloed, monolithic data platforms to a federated, product-oriented approach. We begin with an exploration of what corporate culture is—its habits, values, and norms—and why a mature, strong culture is critical for reducing inertia and entropy in large organizations. Through real-world examples (e.g., “Data Freaks” communities and Spotify-style squads/guilds), participants will examine the evolution of data architectures—from first-generation data warehouses and lakes to real-time ecosystems—and discover how organizational complexity and legacy structures can derail data initiatives.
In the workshop, attendees will map out their own organization’s data maturity, identify key roles (CDO office, data stewards, domain leads), and apply Data Mesh principles to outline domain-oriented data products with clear SLAs. We then shift focus to data literacy—what it means, why it’s as essential as basic office skills, and how to design both a general track for all employees and a technical track for specialists. Participants will draft a capstone project plan, define success metrics, and explore change-management tactics (sponsorship models, communication rituals, and periodic evaluations) to ensure sustained adoption. By the end of the session, learners will be equipped with a concrete roadmap and toolkit to champion a resilient, cost-effective data culture and drive tangible business value.