Leadership Challenge
with Data Analytics
Regular Track (October 2024)
Programme.
Artificial Intelligence is reshaping business, requiring a new skill set to harness its potential. Key to its success are b-smart technologies driven by Big Data, including Blockchain, Social media, Mobile use, Analytics, Cloud, and IoT. This shift necessitates understanding and navigating ethical, legal, and technical challenges, impacting customer relationships, product development, operations, and business models. Embracing a data-driven approach is crucial for every facet of the organization to thrive in this evolving landscape.
Blends.
This program blends business, data science, and societal insights. Participants, typically in teams of 3 to 5, gain versatile data analytics skills fostering innovative value creation. Through experiential learning across individual, group, and corporate levels, it offers a multidimensional approach spanning various functions
Learning Objectives.
Data Analytics
Learn the complete data analytics journey, from data exploration, data engineering, data analysis, data visualization up to presenting the insights.
Data Technologies
Discover new ways to apply data technologies to design and implement innovative and value-creating business and societal applications.
Business Skills
Improve both the business skills of technically focused data scientists and the capabilities of applying quantitative methods by those in business. Hereby mutual understanding is created, which supports the
Data Ethics
Broadens data scientists’ and business members understanding of psychological factors, privacy, security, ethics and accountability and stimulates critical thinking
Action Learning Project.
Participating teams bring their own use case (with data sets) to work on during the programme, as part of an action learning project. Here we apply the concept of think big, start small, scale fast. Previous alumni teams have worked on several interesting action learning projects towards a proof of concept, applying all the learnings of the programme.
Unique Elements.
Total Insight
Holistic (considering the complete system) with wide range of topics that will be covered.
Change Driver
Facilitates organizational shift to data-driven approaches, guiding teams in tackling this challenge hands-on.
Action Learning
Develops and enhances organization-specific use cases through hands-on action learning projects.
Team Building
Teams participants with senior executives and supervisors to implement business applications, fostering team cohesion.
Peer Inspiration
Inspires through peer-learning with cross-industry, cross-functional, and international perspectives, fostering innovation.
Individual Coaching
Offers in-depth individual coaching of teams by both academics and business consultants.
Participants.
This program blends business, data science, and societal insights. Participants, typically in teams of 3 to 5, gain versatile data analytics skills fostering innovative value creation. Through experiential learning across individual, group, and corporate levels, it offers a multidimensional approach spanning various functions with representatives coming (ideally) from the following 3 domains in the organization: Data user / business representative, Information officer, ICT specialist.
Programme Design.
Kick-Off
Introduction & kick-off,
Data analytics maturity
Data analytics strategy
Executive track
Use case workshop
Stakeholder engagement
Use case elevator pitches
Weekly Sessions
Use case coaching
Data architecture & governance
Legal & accountability
Data fundamentals workshop
Visualization & storytelling
Data ethics workshop
Artificial Intelligence and advanced topics
Closing
Data driven transformations
Use case final pithces
Closure
Programme Partnership & Contribution.
