Leadership Challenge
with Data Analytics
Education Track
Programme.
The integration of analytics and AI is fundamentally reshaping Higher Education, necessitating a focus on five pillars: strategy, HR and culture, organization, governance, and ICT. This transformation requires a new skill set to navigate ethical, legal, privacy, and technical considerations. It affects student relationships, program development, operational management, and service offerings, demanding a data-driven approach from all stakeholders. This training program blends business, data science, and societal perspectives, fostering interdisciplinary collaboration among participants. Through hands-on learning, teams develop broad knowledge and skills, unlocking new value creation opportunities in the higher education landscape.
Participants.
The program targets multidisciplinary teams of 3 to 6 individuals from educational institutions (MBO-HBO-Universities), ideally including representatives from various domains such as data users/business (e.g., program designers, managers, analysts, teachers, policymakers), project managers/translators, information professionals (e.g., CIOs, CDOs, information managers, architects, BI analysts, data officers, data engineers, data scientists), and ICT (e.g., IT managers, BI developers, IT specialists). Engagement of additional stakeholders like students and data privacy officers in the action learning project is encouraged.
Learning Objectives.
Data Mastery
Enhance higher education through effective data utilization for educational improvement, operational efficiency, and personalized services.
Insight Cultivation
Cultivate a foundation for data-driven decision-making, leveraging insights from analytics and AI.
Analytics Expertise
Master the data analytics lifecycle, covering exploration, engineering, analysis, visualization, and presentation.
Ethical Innovation
Innovate with data technologies, fostering stakeholder collaboration while prioritizing psychological, privacy, security, ethics, and accountability.
Action Learning Project.
Teams bring their own use cases with data sets, following the “think big, start small, scale fast” approach. Previous alumni projects have led to proof of concepts, often implemented within organizations. For instance, a 2021 team developed a data-driven approach to analyze student dropouts, integrating open data and institution-specific datasets while prioritizing privacy and ethical considerations.
Unique Elements.
Varied Content
Holistic set-up with wide range of topics that will be covered.
Data Navigator
User drives the organization’s shift to data-driven approaches, guiding teams through hands-on experiences.
Action Learning
Develop and enhance organization-specific use cases through hands-on action learning with a personal team coach.
Team Synergy
Teams collaborate with leaders to implement applications, fostering cohesion.
Peer Insights
Inspires participants through peer-learning and an outside-in perspective.
Data Elevate
Enhances data analytics maturity, with executive track.
Executive Track.
During the program, an executive board member or institute representative joins the team for an executive introduction track during the kick-off day, engaging in discussions on leadership challenges in organizational transformation. They receive an overview of the program and can attend the welcome dinner. At the final closure event, where teams present their outcomes and the winning team is selected, they participate and join the closing dinner.
Programme Design.
Kick-Off
Introduction & kick-off
Maturity analytics strategy
Executive track
Workshop use cases ideation & development
Stakeholder engagement dealing with politics
Elevator pitches
Weekly Sessions and Coaching
Use case coaching
Data architecture & governance
- Learning analytics innovation
- Data fundamentals workshop
- Use case coaching
- Midterm pitches
- Visualization dashboards storytelling with data
- Data privacy
- Data ethics workshop
- AI and advanced topics
Closing
Data driven transformations scaling and implementing in the organization
Use case final pithces
Closure
Programme Partnership & Contribution.
