Power BI Time Intelligence

Discover when your business is busiest and how fast you’re serving customers. This focused Power BI course teaches you to analyze trends by hour and day of week, measure service speed, and unlock actionable insights with time-based DAX and visuals.

Send prefered dates and group size to hello@generalBI.com.

Prerequisites

No prerequesites.

Audience

This course is ideal for operations managers, analysts, and business owners who want to understand peak activity times and service efficiency. Perfect for anyone responsible for optimizing staffing, improving customer experience, or analyzing time-based trends using Power BI.

Public Services / Government: Monitor citizen service center loads and optimize scheduling.

Emergency/Ambulance/Fire Response: Service Response time, volumes by hour/day.

Call Centers & Customer Support: Track call volumes by hour/day and average handling times.

Healthcare: Measure patient wait times, appointment volumes, and staff utilization.

Transportation & Logistics: Analyze delivery or service times and identify peak operational windows.

Entertainment & Events: Track attendance trends and ticket sales by time.

Course Content

  • Introduction to Time Intelligence in Power BI
    • What is time intelligence?
    • Use cases for time-based analysis (peaks, trends, service metrics)
    • Overview of date tables and time-based hierarchies
  • Creating and Using a Date Table
    • Building a date table (calendar and fiscal support)
    • Creating time breakdowns: hour, weekday, weeknum, etc.
    • Foreign date formats, fixing broken dates
    • Multiple Date Table Example, Role Playing Dimensions
  • Analyzing by Time of Day and Day of Week
    • Grouping data by hour, day of week, and custom time slots
    • Building visualizations to show business volume over time
    • Identifying peak periods and quiet times
  • Measuring Speed of Service
    • Calculating time differences (e.g., ticket opened vs. closed)
    • Using DAX to compute averages
    • Creating service-level indicators (SLAs, thresholds, alerts)
  • Key Visuals
    • Heatmaps: Activity by hour and weekday
    • Workload, Speed of Service, Date and Time Matrix
    • Line charts: Trends over time
    • KPI cards: Average service time, peak volume hour
  • Enhancing with Filters and Slicers
    • Slicing by location, service type, or staff
    • Dynamic time filters (e.g., “last 7 days,” “business hours only”)
    • Drill-throughs to investigate specific time windows
  • Real-World Scenarios
    • Various real-world style examples
    • Tips for communicating time-based insights to stakeholders

Course Setup Checklist

  • Power BI Desktop:
    • Work computers: Install via your software center or contact your help desk.
    • Personal computers: A free download link will be provided upon registration.
  • Computer with at least two monitors and a mouse.
  • The course files (download link provided when you register).