Most companies are far from where they want and need to be when it comes to implementing business analytics and are still relying on gut feeling, rather than hard data, when making decisions. What is needed today is competency with analytics to gain a competitive advantage. Volatility and complexity are the new normal.
Upon completion of this course participants will be able to
• Recognize why business analytics and leveraging Big Data provide a competitive advantage
• Differentiate business intelligence (BI) from business analytics
• Identify business analytics for functions and for different industries
• Identify how to imbed statistics and analytics into enterprise performance management (EPM) methods
• Identify how to differentiate forecasting of predictive modeling
• Recognize alternative approaches to accelerating the adoption rate of business analytics
• Business Intelligence (BI)
• Business Analytics
• Examples of business analytics for functions and for different industries
• Analytical methods like regression, correlation, clustering, and segmentation
• The increasing importance of predictive and prescriptive analytics
• CFOs, Management accountants, Budget managers, Strategic planners, Marketing managers, Business analytics specialists
Some experience in Management Accounting
Update your browser to view this website correctly.
