Certificate in Data-Driven Budgeting

Course overview

Course outline

1. 1Day 1: Foundations of Data-Driven Budgeting

   • Evolution from traditional budgeting to modern planning
   • Core principles of evidence-based budgeting
   • Financial KPIs and their role in budget control
   • Using operational data to improve budgets
   • Impact of Big Data on financial forecasting
   • Common budgeting challenges and how to overcome them
2. 2Day 2: Data Collection and Budget Analysis

   • Identifying internal and external financial data sources
   • Data gathering, validation, and cleansing techniques
   • Analysing budget data using statistical methods
   • Trend analysis and variance recognition
   • Detecting anomalies and cost pressures early
   • Visualising budget information through charts and dashboards
3. 3Day 3: Forecasting and Predictive Budgeting

   • Introduction to predictive analytics in finance
   • Rolling forecasts and dynamic budgeting methods
   • Scenario planning for uncertainty and risk management
   • Using machine learning concepts in forecasting
   • Building forecasting models in Excel and Power BI
   • Case study: Predictive budgeting success example
4. 4Day 4: Budgeting Tools and Digital Technologies

   • Overview of budgeting software and planning platforms
   • Advanced Excel techniques for budget models
   • Power BI for budget dashboards and executive reporting
   • AI and automation in budgeting workflows
   • Integrating finance tools with ERP systems
   • Best practices for adopting financial technology
5. 5Day 5: Strategic Budgeting and Business Decisions

   • Linking budgets to strategic goals and priorities
   • Resource allocation based on data insights
   • Presenting budgeting recommendations to stakeholders
   • Continuous improvement in budgeting processes
   • Real-world applications of data-driven budgeting
   • Developing a practical budgeting action plan
   • Final review and course summary