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Course Outline

Introduction to Power BI in Finance

  • Exploring the Power BI ecosystem and its components.
  • Examining data types and key functionalities relevant to financial analysis.
  • Reviewing the specific reporting requirements for payroll and cash flow.

Data Sources and Modeling

  • Integrating payroll and cash flow data from Excel or CSV sources.
  • Constructing data models through relationships and calculated columns.
  • Applying time intelligence features to analyze payroll cycles and monthly trends.

Cash Flow Dashboards

  • Visualizing cash inflows, outflows, and overall cash position over time.
  • Conducting variance analysis and comparing forecasts against actuals.
  • Designing KPI cards, line charts, and waterfall charts for clear insights.

Payroll Reporting in Power BI

  • Organizing payroll datasets to include earnings, benefits, and taxes.
  • Generating reports segmented by department, location, or employee category.
  • Detecting payroll trends, anomalies, and key cost drivers.

DAX for Financial Calculations

  • Implementing basic DAX logic for cash flow metrics, such as net cash and rolling balances.
  • Creating payroll-specific measures, including total compensation and tax ratios.
  • Utilizing DAX for cumulative calculations and monthly breakdowns.

Report Automation and Sharing

  • Publishing dashboards to the Power BI Service environment.
  • Configuring data refresh schedules and report subscriptions.
  • Securely sharing reports with finance and HR stakeholders.

Best Practices and Use Case Walkthroughs

  • Designing dashboards that are both clear and insight-driven.
  • Modeling cash flow scenarios using what-if parameters.
  • Case study: Creating a comprehensive payroll overview with employee-level drill-downs.

Summary and Next Steps

Requirements

  • A foundational grasp of financial and payroll principles.
  • Proficiency in Microsoft Excel.

Target Audience

  • Finance professionals involved in payroll and cash flow reporting.
  • HR analysts and payroll managers seeking to enhance their analytical tools.
  • Business analysts and Power BI users within finance departments.
 14 Hours

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