Overview:

Many organizations are far from where they want and need to be with improving performance, and they apply intuition, rather than hard data, when making decisions. Enterprise and corporate performance management (EPM/CPM) is now viewed as the seamless integration of managerial methods such as strategy execution with a strategy map and its companion balanced scorecard (KPIs) and operational dashboards (PIs); enterprise risk management (ERM); capacity-sensitive driver-based budgets and rolling financial forecasts; product / service / channel / customer profitability analysis; benchmarking, lean and Six Sigma quality management for operational improvement and measuring the Cost of Quality (CoQ); target costing for new products; lean accounting, resource capacity spending planning; and IoT 4.0 artificial intelligence (AI) and robotic process automation (RPA). Each method should be embedded with business analytics of all flavors, such as correlation, segmentation, regression, and clustering analysis; and especially predictive analytics as a bridge to prescriptive analytics to yield the best (ideally optimal) decisions. This course will describe how to complete the full vision of analytics-based enterprise performance management.

What You Will Learn:

Upon completion of this course, you will be able to:

• Describe enterprise and corporate performance management (EPM/CPM) as the seamless integration of managerial methods rather than as a process
• Understand how business analytics is an advance over business intelligence and where Big Data fits in
• Identify and differentiate strategic KPIs in a balanced scorecard and operational performance indicators (OPIs) in dashboards
• Calculate product and distribution channel costs and profitability for benchmarking, analysis, insights and actions
• Perform “predictive accounting” for capacity-sensitive driver-based budgets / rolling financial forecasts, what-if analysis, and outsourcing decisions

Course Content

• Unit 1: Strategy Management (with a Balanced Scorecard)
• Unit 2: Effective Management Accounting
• Unit 3: Driver Based Budgeting and Rolling Financial Forecasts
• Unit 4: Business Intelligence (BI) and Business Analytics (BA)