GBA 6060 Introduction to Business Analytics - Business Metrics and Analytics (3 credits)
Introduction to the descriptive analytics cycle. Problem framing, data collection, data cleaning, data visualization, data analysis, and dissemination of results. Storytelling for intelligence dissemination. Data warehousing and on-memory database solutions. Differences between descriptive analytics and predictive analytics, prescriptive analytics, social media analytics, and Big Data. Ethical and privacy challenges.
- Describe the phases of the descriptive analytics cycle: Problem framing, data collection, data cleaning, data visualization, data analysis, and dissemination of intelligence.
- Formulate business problems and the ideal data set to solve them.
- Use tools necessary for data collection, data visualization, and intelligence dissemination, including storytelling applications.
- Design business performance metrics to support decision-making and business performance management.
- Apply data visualization applications to support decision-making processes.
- Develop descriptive analytics models and solutions using spreadsheet and visualization applications.
- Describe the differences between descriptive analytics and predictive analytics, prescriptive analytics, social media analytics, and Big Data.