Green Biotec UG Bremen Germany
Biotech Business Intelligence
Biotech Business Intelligence |
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| Course Description | This course provides a comprehensive understanding of business intelligence applications in the biotechnology sector. Students will explore strategies for data-driven decision-making, project management, and market analysis, emphasizing real-world biotech business scenarios. The course integrates analytical tools, machine learning, data visualization, and digital marketing strategies tailored for life sciences enterprises. |
| Recommended Books | 1. Business Intelligence Guidebook by Rick Sherman 2. Competing on Analytics by Thomas H. Davenport and Jeanne G. Harris |
| Course Learning Outcomes | After completing this course, students will be able to: 1. Apply business intelligence strategies in biotech firms for competitive advantage. 2. Utilize machine learning and big data tools for biotech data analysis and management. 3. Design dashboards, reports, and visual analytics for strategic decision-making. 4. Implement digital marketing analytics and customer-centric business strategies. 5. Evaluate the ethical and regulatory dimensions of AI in healthcare and industry. |
| Assessment System | Quizzes: 10-15% Assignments: 5-10% Midterms: 30-40% End Semester Exam (ESE): 40-50% |
| Lecture Plan | ||
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| S.No. | Description | Quizzes/Assignment |
| 1 | Business Intelligence for Biotech Companies | |
| 2 | New Business Concepts and Data Warehousing | Quiz 1 |
| 3 | Big Data, Data Collection, and Reporting | |
| 4 | Dashboards and Balanced Scorecards | |
| 5 | Deep Learning and Machine Learning Applications | Assignment 1 |
| 6 | Planning and Management of BI Projects | |
| 7 | Biotech Company Management and Corporate Strategy | |
| 8 | Information as Capital and Productivity Analysis | Quiz 2 |
| 9 | Data-Driven Business Transformation and Digital Marketing | |
| 10 | Customer Analysis, GDPR, and Campaign Data Management | |
| 11 | Data Visualization Techniques and Future Trends | Assignment 2 |
| 12 | Programming for Data Analysis: Tools and Techniques | |
| 13 | Digital Marketing Analytics and Web Analytics | Quiz 3 |
| 14 | Business Intelligence and Artificial Intelligence Applications | |
| 15 | Optimization of Human Capital and Corporate Change Management | Assignment 3 |
