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 Duration 7 hours

Course Outline

Foundations of Financial Operations Analysis in Power BI

  • Overview of cash flow and payroll analytics
  • Organizing datasets for effective operational reporting
  • Essential financial ratios and indicators for HR and finance

Data Preparation and Transformation

  • Ingesting and refining cash flow and payroll data
  • Merging multiple financial data sources, including Excel, CSV, and databases
  • Establishing relationships among cost centers, employees, and transactions

Cash Flow Reporting

  • Creating dashboards to track inflows and outflows
  • Formulating DAX measures for net cash flow and liquidity metrics
  • Visualizing temporal trends and cumulative balances

Payroll Analysis and Visualization

  • Developing dashboards for payroll performance
  • Evaluating data related to salaries, overtime, and deductions
  • Conducting payroll cost analysis by department and position

Forecasting and Variance Analysis

  • Implementing predictive measures for cash and payroll forecasts
  • Benchmarking actual results against planned budgets
  • Utilizing trend lines and KPI variance visuals to support decisions

Interactive Dashboards and Reporting

  • Designing user-friendly visuals for executives and HR stakeholders
  • Configuring drill-downs, slicers, and filters for detailed insights
  • Safely publishing and distributing interactive dashboards

Practical Project: Comprehensive Financial Operations Dashboard

  • Integrating cash flow and payroll datasets into a unified Power BI report
  • Constructing dynamic visuals and KPI cards
  • Presenting insights using narrative techniques

Summary and Next Steps

Requirements

  • Fundamental knowledge of Power BI for data visualization and reporting
  • Practical experience handling financial or HR datasets
  • Proficiency with Excel or comparable spreadsheet applications

Target Audience

  • Finance and payroll specialists
  • Accountants and HR representatives
  • Managers overseeing budget management and cash flow reporting

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