DAX Fundamentals for Measures, Calculations & Business Logic

Overview:

This webinar trains participants in the fundamentals of DAX Measures used in corporate Power BI dashboards.

Participants will learn how to:

• Write DAX measures correctly
• Understand filter context and row context
• Create KPI calculations used in corporate reporting
• Implement business rules using IF, SWITCH, CALCULATE
• Build time intelligence measures like MTD/YTD/YoY

The focus is on corporate reporting logic and making dashboards decision-ready.

Why you should Attend:

• Do your Power BI totals change unexpectedly after applying slicers?
• Are you unable to calculate KPIs like Growth %, Target vs Achievement, Variance?
• Do you struggle to create correct measures for management reports?
• Are you confused between calculated columns and measures?
• Do you want to build dashboards with dynamic calculations like YTD/MTD and YoY comparison?
• Do you want to move from “visual maker” to Power BI professional?

Areas Covered in the Session:

What is DAX & why it is critical in Power BI

Measures vs Calculated Columns (difference + when to use)

• DAX fundamentals:
• • syntax structure
  • aggregation functions (SUM, COUNT, DISTINCTCOUNT)
• Core DAX functions:
• • IF, IFS, SWITCH
  • FORMAT (presentation friendly)
• Context concepts (most important):
• • Row Context
  • Filter Context
  • How slicers affect measures
• CALCULATE function (the heart of DAX)
• • changing filter context
  • applying business logic
• Common corporate KPI measures:
• • Sales, Profit, Margin %
  • Target vs Achievement
  • Variance & Variance %
  • Contribution %
  • Ranking KPI
• Filter & context functions (intro):
• • FILTER (basics)
• Time intelligence fundamentals:
• • Date table requirement
  • TOTALYTD / DATESYTD
  • MTD, QTD, YTD measures

Who Will Benefit:

• Power BI Developers (Beginners)
• Data Analysts / Reporting Analysts
• MIS Executives shifting to Power BI
• Business Analysts
• Finance & Accounts Professionals
• Sales reporting & operations teams
• HR analytics professionals
• Students preparing for Power BI/Data roles