Business Intelligence & Analytics

This course is designed for finance professionals, analysts, and decision-makers who want to enhance their ability to use business intelligence (BI) and business analytics (BA) for data-driven financial decision-making. Ideal participants include:

• Financial Analysts and Managers
• CFOs and Finance Directors
• Business Analysts and Strategy Consultants
• Accounting and Audit Professionals
• Investment and Risk Analysts
• Professionals responsible for financial planning and performance evaluation
• Head Office Planning Managers
• Budgeting and Forecasting Teams
• Commercial Managers

Day 1:  Business Models, Processes, and Data-Driven Decision Making

• Creating Value for Key Organizational Stakeholders
• The Evolving Role of Finance Professionals in Data Analytics
• Understanding Business Models and Business Processes
• Business Process Improvement and Re-engineering
• Introduction to Business Intelligence (BI) and Business Analytics (BA)
• Fundamentals of Data-Driven Decision Management (DDDM)
• Key Financial Metrics and Shareholder Value Drivers
• Identifying Critical Success Factors and Performance Measures

Day 2:   Business Intelligence and Business Analytics Essentials

• Implementing a Business Performance Management Framework
• The Purpose and Definition of Business Intelligence (BI)
• Evolution and Development of BI in Finance
• Key Features, Tools, and Terminology of BI Systems
• Understanding the Definition and Aims of Business Analytics (BA)
• Differentiating Descriptive, Diagnostic, Predictive, and Prescriptive Analytics
• Overview of BI and BA Tools Used in Financial Decision-Making

Day 3:   Statistical and Predictive Analytics for Finance

• Defining Statistical, Descriptive, and Predictive Analytics
• Fundamentals of Business Database Design for Financial Analysis
• Understanding Probability Theory and Distribution in Finance
• Time Series Analysis for Financial Forecasting
• Using Moving Averages for Trend Analysis and Forecasting
• Applying Linear Regression for Financial Predictions
• Monte Carlo Simulation in Excel for Risk and Uncertainty Analysis
• Predictive Analytics Using ‘What-If’ Forecasting Scenarios

Day 4: Data Visualization and Financial Reporting

• Converting Data into Insights: Understanding Data, Information, and Business Impact
• The Role of Data Visualization and Infographics in Finance
• Choosing the Right Charts and Graphs for Financial Data Representation
• Designing Engaging and Impactful Visuals for Financial Decision-Makers
• Using Excel and PowerPoint for Data Visualization in Finance
• Creating and Interpreting Financial Dashboards and Scorecards
• Best Practices for Designing Interactive Financial Reports
• Practical Techniques for Building Dynamic Dashboards in Excel and Power BI

Day 5:Implementing BI and Managing Organizational Change

• Agile Methodologies for Business Intelligence and Analytics System Development
• Key Steps in Designing and Implementing a BI/BA Framework
• The Role of Organizational Culture in Successful BI Adoption
• Managing Change and Overcoming Resistance in BI/BA Projects
• Strategies for Driving Adoption of BI and BA Solutions in Finance
• Best Practices for Sustainable BI and Analytics Implementation
• Course Review and Action Plan for Applying BI/BA in Finance