GEB 4522 -Data Driven Decision Making
Students will learn to use public and private data to make informed business decisions using a structured critical thinking process. Topics include issue identification, feasible solution generation, optimal decision selection, performance tracking, and persuasive writing. The course is structured around a series of case analyses.
Goals and Objectives
A student who successfully completes this course should be able to:
- Develop a problem statement
- Develop a balanced scorecard
- Identify and analyze key performance indicators
- Develop a fishbone (cause-and-effect) diagram
- Engage in root cause analysis
- Analyze external data sources and data quality
- Use Excel to visualize data
- Use Excel to create tables and pivot tables
- Use Excel to engage in basic statistical analysis including descriptive statistics, percentiles, correlation, and regression
- Develop solutions to problems and analyze potential consequences
- Write persuasively about the optimal solution identified
- Critical thinking process.
- Balanced scorecard and key performance indicators (KPIs).
- Data types. Storing and manipulating data in Excel. Data visualization.
- Root cause analysis using a fishbone diagram.
- External data and data quality.
- Descriptive statistics.
- Correlation and regression.
- Persuasive writing.