How are data-driven decisions put into practice in the real world? How do these decisions differ when applied to different sectors, such as health care, education and government? This intermediate-level course will provide answers to these questions as well as recommendations for decision-making based on data analytics for each sector. The course will begin with an introduction of Big Data, then continue into a deeper dive on its implications within each sector. Industry case studies make the concepts applicable in the real-world.

Learning Outcomes

• Explain the management implications of the use of business intelligence and knowledge management systems
• Define Big Data and describe its current uses for analysis and future potential and its implications
• Explain common analytics for business and quality improvement
• Recommend manufacturing business decisions based on data analytics
• Explain common analytics used in health care
• Recommend health care decisions based on data analytics
• Explain common analytics used in education
• Recommend educational decisions based in data analytics
• Explain common analytics used in government
• Recommend governmental decisions based on data analytics

Estimated length: 5 hours
Access Times: 90 days

IACET CEUs: .5 (Contact Hours: 5 hours)HRCI Credits: 5 (Type: Specified - Strategic Business)SHRM PDCs: 5