HR Data Reporting with Power BI and AI Course

Build governed Power BI workforce reports, measures, visual analysis, and validated AI narratives for HR decision support.
HR Data Reporting with Power BI and AI Course

At a glance

Duration
5 days
Format
Classroom
Cities
Rome, Milan, Berlin, Barcelona, San Diego, Vienna and more
Next session
12 – 16 October 2026, Rome
Average fee
5,800 €

Overview

The HR Data Reporting with Power BI and AI Course is a five-day intermediate course for HR analysts, people analytics teams, HR business partners, workforce planning teams, and reporting specialists who leave with an HR Data Reporting and Insight Dashboard. The course connects workforce questions, source quality, semantic models, measures, visual analysis, trends, AI-assisted narratives, role-based access, validation, and decision communication. Agile Leaders Training Center delivers this course on HR data reporting with Power BI and AI.

Who Should Attend

  • HR analytics functions responsible for workforce measures and reporting
  • HR partnering functions responsible for evidence-based workforce decisions
  • Workforce planning functions responsible for capacity, movement, and scenario evidence
  • Reporting functions responsible for dashboards, narratives, and stakeholder updates
  • Data governance functions responsible for definitions, access, and quality

The course assumes participants work with HR data or reports and leaves out payroll processing, advanced data engineering, and employment-law advice.

Departments and Industries

The course supports HR reporting decisions across service and operational organizations.

  • Human resources and people analytics teams
  • Finance, strategy, and organizational performance functions
  • Healthcare and education services
  • Financial and professional services
  • Manufacturing, logistics, and energy operations

Learning Objectives

By the end of this course, participants will be able to:

  • Analyze workforce questions and define decision-relevant measures
  • Build a structured Power BI model for HR reporting
  • Apply visual and trend analysis to workforce indicators
  • Evaluate AI-assisted narratives against measures and context
  • Design role-based access and reporting governance controls
  • Create an HR Data Reporting and Insight Dashboard

Course Agenda

Day 1: Workforce Questions and Data

  • HR Decision Question and Stakeholder Canvas
  • Workforce Metric Definition and Ownership Register
  • HR Source System and Field Lineage Map
  • Data Quality Completeness and Consistency Checklist
  • Privacy Purpose and Minimum Data Assessment

Day 2: Power BI Reporting Model

  • Workforce Fact and Dimension Model Blueprint
  • Data Type Relationship and Filter Direction Review
  • HR Measure and Calculation Design Sheet
  • Time Period and Workforce Snapshot Method
  • Semantic Model Documentation Standard

Day 3: Visual Analysis and Trends

  • Workforce Visual Selection Matrix
  • Headcount Movement and Turnover Analysis Method
  • Absence Capacity and Productivity Trend Canvas
  • Workforce Segment and Variance Investigation Grid
  • Dashboard Interaction and Drill Path Design

Day 4: AI Narratives and Governance

  • Power BI AI Data Preparation Checklist
  • Verified Answer and Business Context Design
  • AI-Assisted HR Narrative Review Protocol
  • Row-Level Security Role and Access Matrix
  • HR Report Publication and Change Control Register

Day 5: HR Reporting Practice

  • Suggested Exercise: Workforce Question and Metric Review
  • Suggested Exercise: HR Model and Measure Quality Challenge
  • Suggested Exercise: Trend and Variance Investigation
  • Suggested Exercise: Narrative and Access Control Review
  • Capstone Exercise: HR Data Reporting and Insight Dashboard

Practical Exercises

The course includes suggested activities for converting workforce data into governed HR reporting decisions.

  • Suggested activity: define a workforce question, measure, owner, and evidence source.
  • Suggested activity: build and inspect an HR reporting model and calculation set.
  • Suggested activity: analyze a workforce trend and verify an AI-assisted narrative.
  • Suggested activity: present an HR Data Reporting and Insight Dashboard with access rules and decision notes.

FAQs

Who suits the HR Data Reporting with Power BI and AI Course?

HR analysts, people analytics teams, HR business partners, workforce planners, and reporting specialists suit the course; it assumes regular work with HR data or reports.

How does HR data reporting differ from a general Power BI course?

HR data reporting applies Power BI modeling, measures, visuals, security, and narrative review to workforce questions, definitions, privacy needs, and people decisions.

Which workforce measures belong in Power BI HR reports?

Measures depend on the decision and may cover workforce size, movement, turnover, absence, capacity, recruitment, development, representation, cost, or service outcomes with agreed definitions.

How should AI-generated HR narratives be validated?

HR narratives should be checked against the underlying measures, filter context, time period, workforce definitions, data quality, privacy limits, and the business question before publication.

What belongs in an HR Data Reporting and Insight Dashboard?

An HR Data Reporting and Insight Dashboard links governed measures, source context, visual evidence, trends, narrative insights, access rules, owners, and decision actions.

Conclusion

Participants leave with an HR Data Reporting and Insight Dashboard connecting workforce questions, measures, models, visuals, narratives, access, and ownership. The work product improves how HR evidence is defined, reviewed, and communicated. It gives teams a reusable structure for data quality, trend investigation, narrative validation, governance, and decision support.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Showing 41-60 of 76 events
Image Location Dates Duration Mode Price Actions
Abu Dhabi Abu Dhabi Week 14, 2027
5 – 9 April 2027
5 Days Onsite €4,700
Bangkok Bangkok Week 14, 2027
11 – 15 April 2027
5 Days Onsite €6,000
Istanbul Istanbul Week 16, 2027
19 – 23 April 2027
5 Days Onsite €4,500
Cairo Cairo Week 17, 2027
26 – 30 April 2027
5 Days Onsite €4,100
Bali Bali Week 17, 2027
2 – 6 May 2027
5 Days Onsite €5,700
Tokyo Tokyo Week 19, 2027
10 – 14 May 2027
5 Days Onsite €10,000
Manama Manama Week 19, 2027
16 – 20 May 2027
5 Days Onsite €4,700
Seoul Seoul Week 20, 2027
17 – 21 May 2027
5 Days Onsite €10,000
Langkawi Langkawi Week 20, 2027
23 – 27 May 2027
5 Days Onsite €6,000
Athens Athens Week 21, 2027
24 – 28 May 2027
5 Days Onsite €6,700
Dubai Dubai Week 22, 2027
31 May – 4 June 2027
5 Days Onsite €4,500
Frankfurt Frankfurt Week 22, 2027
31 May – 4 June 2027
5 Days Onsite €5,700
Kuala Lumpur Kuala Lumpur Week 23, 2027
7 – 11 June 2027
5 Days Onsite €5,200
London London Week 24, 2027
14 – 18 June 2027
5 Days Onsite €5,700
Montreux Montreux Week 24, 2027
14 – 18 June 2027
5 Days Onsite €7,500
Baku Baku Week 25, 2027
21 – 25 June 2027
5 Days Onsite €5,000
Zanzibar Zanzibar Week 25, 2027
27 June – 1 July 2027
5 Days Onsite €5,500
Milan Milan Week 27, 2027
5 – 9 July 2027
5 Days Onsite €5,700
Istanbul Istanbul Week 28, 2027
12 – 16 July 2027
5 Days Onsite €4,500
Cairo Cairo Week 29, 2027
19 – 23 July 2027
5 Days Onsite €4,100

Frequently asked questions

What does this course cover?

OverviewThe HR Data Reporting with Power BI and AI Course is a five-day intermediate course for HR analysts, people analytics teams, HR business partners, workforce planning teams, and reporting specialists who leave with an HR Data Reporting and Insight Dashboard. The course connects workforce questions, source quality, semantic models, measures, visual…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

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