From Analytics to Action

• analyze challenges and opportunities in a specific data analysis project
• identify the project’s stakeholders
• define the project’s commercial value
• compare and assess potential pitfalls and barriers for the project
• develop a realistic and well-thought-out plan for the implementation of the project in a concrete company
• visualize the project’s prerequisites, processes and results.
• discuss the project’s possible consequences for the market and organisation.
• design a strategy for the involvement of actors who are relevant to the implementation and impact of the project
• prepare a presentation of the project’s opportunities and challenges to senior management
• communicate the project’s results and relevance to the company’s business in clear and well-argued language

The role of data analysis projects in different organizational contexts. Challenges in connection with the implementation of data analysis projects in companies. Different types of data visualization and strategies for their use. Different theories about data and the effects of data analysis on markets and organizations. Involvement of stakeholders in analyses of data. Assessment of the business value of data projects. Discussion of data quality issues. Typical data analysis process models. Technological challenges. Analysis of actors. Data analysis strategy. Discussions, articles and mini-cases will give participants the opportunity to discuss individual aspects of management challenges and solutions. Within a project based on a case study, participants will apply their knowledge in a team and deliver solutions.

The course requires a basic understanding of data analysis methods (e.g. machine learning, social data science, or statistics).

Lectures, industry presentations, group exercises in teams of 6 students

This course may lead up to writing a master´s thesis.