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Course Outline

Introduction to Financial Operations Analysis in Power BI

  • Overview of cash flow and payroll analytics.
  • Structuring datasets for effective operational reporting.
  • Key financial ratios and indicators relevant to HR and finance.

Data Preparation and Transformation

  • Loading and cleaning cash flow and payroll data.
  • Consolidating multiple financial data sources (Excel, CSV, databases).
  • Establishing relationships between cost centers, employees, and transactions.

Cash Flow Reporting

  • Designing dashboards for tracking inflows and outflows.
  • Creating DAX measures for net cash flow and liquidity metrics.
  • Visualizing trends and cumulative balances over time.

Payroll Analysis and Visualization

  • Building dashboards for payroll performance.
  • Analyzing data related to salary, overtime, and deductions.
  • Conducting departmental and position-based payroll cost analysis.

Forecasting and Variance Analysis

  • Applying predictive measures for cash and payroll projections.
  • Comparing actual results against planned budgets.
  • Utilizing trend lines and KPI variance visuals for decision support.

Interactive Dashboards and Reporting

  • Designing intuitive visuals tailored for executives and HR stakeholders.
  • Configuring drill-downs, slicers, and filters to facilitate deeper insights.
  • Securing the publishing and sharing of interactive dashboards.

Hands-on Project: End-to-End Financial Operations Dashboard

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

Summary and Next Steps

Requirements

  • Foundational knowledge of Power BI data visualization and reporting.
  • Previous experience working with financial or HR data.
  • Familiarity with Excel or comparable spreadsheet applications.

Audience

  • Finance and payroll analysts.
  • Accountants and HR professionals.
  • Managers responsible for budget and cash flow reporting.
 7 Hours

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