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.
Course ID: BADMW
Business Analytics for Decision Making – Making it Work
Learning Objectives
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
Major Topics
• 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
Who Should Attend
• CFOs, Management accountants, Budget managers, Strategic planners, Marketing managers, Business analytics specialists
Fields of Study
Business Management & OrganizationPrerequisites
Some experience in Management Accounting