Virtual Classroom

In this virtual classroom, you'll find several online lecture modules that will prepare you for future roles and challenges as a manager when the ongoing digitalization makes your job and your companies operations and overall business more and more data-driven. If you click on the online modules you will get to the videos and the slides. For any questions, please contact Prof. Florian Stahl via e-mail (florian.stahl@uni-mannheim.de)



Data Science for Business Managers


  • Online Module: Managing Big Data
    • Data Collecting and Harvesting of Big Data
    • Data Harvesting and Web Scraping
    • Preprocessing of Big Data
    • Master Data Management
    • Reference Data Management
    • Data Quality - Defining and Measuring Quality of Big Data
    • Data Governance
    • Data Security
    • Accessing and Sharing Big Data                                                
    more...



  • Online Module: Data Literacy & Data Intuition

    • Data Are Not Insights
    • Understanding your psychological biases in decision making
    • How to ask data-driven questions
    • Consider customer needs
    • How to evaluate data integrity
    • Creating richer data-driven dialogue
    • The art of guestimating - the Fermi method
    • Emerging areas in data-driven decision making                                                
    more...



  • Online (Lecture) Module: Data Ethics
    • Data Ownership
    • Privacy
    • Anonymity
    • Data Validity
    • Algorithmic Fairness                                                          
    more...



  • Online Module: Data Visualization
    • The Psychology of Perception
    • Creating Effective Stories from Data                                                
    • Designing Effective Charts
    • Visualization of Big and Unstructured Data
    more...





Data-Driven Business Transformation


  • Online Module: Data Analytics and Executive Decision Making
    • Hone Your Decision-Making Intuition: Learn how your intuition guides you, how to overcome the mind traps that can impair effective decision-making, and how human decision biases can create opportunities to positively influence people.
    • Practice Advanced Tools & Build Your Confidence: Explore advanced tools (such as pre-mortems) to help you build confidence and make sound decisions - without fear - in the face of risk and uncertainty.
    • Long-Term Decision Making: Learn how to anticipate the downstream effects of your decisions and maintain critical thinking skills while balancing trade-offs and considering larger business goals.
    more...



  • Online Module: Data Strategy - Leveraging Data As A Competitive Advantage
    • Introduction to Data Strategy: Explore how to create new value for your organization from data assets and explore different perspectives to shape a data strategy.
    • Developing a Data Strategy: Learn a practical, step-by-step methodology that incorporates research, best practices, and faculty experience to develop a successful data strategy. Apply a comprehensive three-step methodology for developing your data strategy: contextualization, ideation, and prescription.
    • Discover how a chief data officer, a data governance office, and data stewards can create value for your organization.
    • Ascertain, from an executive perspective and a case study, how all the elements of data strategy come together in action.
    more...



  • Online Module: Building Analytics Teams
    • Fundamental concepts of building and managing a high-performance analytics team.
    • What to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team.
    • The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success.
    • Manage and lead analytical projects successfully
    more...



  • Online Module: From Data to Business Value - Defining a Data Monetization Strategy
    • Data Monetization: Converting Data Into Financial Value. Explore the process through which organizations create financial value from data.
    • Data Monetization Capabilities: Building Enterprise Data Foundations. Discover five data monetization capabilities and organizational structures that maximize their impact.
    • Generating Value Through Data-Driven Process Optimization. Learn how to create value from data-driven process improvements.
    • Generating Value From Analytics Features and Experiences. Learn how to create value from analytics product features and analytics-based customer experiences.
    • Generating Value From Information Solutions. Learn how to create value from information solutions.
    • Data Monetization Strategy: Choosing a Plan for Organization-Wide Value Creation. Explore the process of selecting and managing a firm-level strategy for an organizations data monetization activities.
    more...

About the Lecturers

Prof. Dr. Florian Stahl


Florian Stahl earned a Master's Degree in Economics from the University of Zürich (Switzerland) in 2001 and a PhD in Business Economics in 2005 from the University of St. Gallen (Switzerland). Between 2005 and 2008, he was a postdoctoral research fellow at Columbia Business School in New York. Before joining the University of Mannheim faculty of business administration in 2013, he was an Assistant and Associate professor (with tenure) of Quantitative Management at the Department of Business Administration of University of Zürich.

Florian Stahl's research interests are primarily in empirical quantitative Management, Management analytics and business economics. Specifically, his research addresses business related questions of the digital economy and the digital transformation of Management process and strategies. In particular, his research interests include advertising, branding, digital (corporate) communications, economics of data, pricing of (digital) products, promotions, social media, user-generated content and competitive strategy. Florian Stahl studies the allocation, dynamics and measurement of Management activities and their impact on consumer behavior, product demand and firm performance in various industries such as the automobile industry, the financial industry or the media industry. Methodically his research is based on empirical modeling, applied econometrics, machine learning and experimental studies (laboratory as well as field experiments). The results of Florian Stahl's research have been published in top-tier journals such as Journal of Management or Journal of Management Research and he won the 2012 H. Paul Root Award and the 2012 Robert D. Buzzell / Management Science Institute Best Paper Award.





Further helpful sources for learning Management Analytics




Legal Disclaimer

Module recordings are made for the benefit of students to have access to the course content regardless of geographic location. Any personal recording or other non-academic use of these sessions is strictly prohibited. The recordings may not be shared, copied or redistributed without the explicit permission of the instructor. Forwarding, uploading to YouTube or other platforms or commercial distribution is strictly prohibited and will be prosecuted. Similarly, the accompanying slides are developed to illustrate the course content and made solely for the convenience of students. They may not be shared, copied or redistributed without the explicit permission of Prof. Dr. Florian Stahl.





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