Power BI: Data-Driven Decision Making & Reporting
- Map strategic objectives to KPIs with targets, thresholds and accountable owners in a Power BI model.
- Build measures for actual versus target, variance, trend and forecast that flag exceptions automatically.
- Use what-if parameters to model the effect of alternative decisions on a KPI.
- Identify drivers of performance using key influencers and the decomposition tree.
- Produce a paginated monthly report suitable for formal management meetings.
- Set up subscriptions and alerts so decision makers receive timely information.
- From Data to Decisions
- Decision types and information needs
- KPI trees linked to objectives
- Common reasons dashboards are ignored
- Performance Measures in Power BI
- Targets, thresholds and status logic
- Variance and trend measures
- Forecasts and run-rate projections
- Scenario and What-If Analysis
- What-if parameters
- Sensitivity of KPIs to assumptions
- Comparing decision options
- Driver and Root Cause Analysis
- Key influencers visual
- Decomposition tree
- Drillthrough to detail
- Formal Reporting
- Paginated reports for management packs
- Commentary and annotation
- Subscriptions and data alerts
- Decision Governance
- Single source of truth and endorsed models
- Data quality indicators in reports
- Tracking decisions and their outcomes
الحصول على الكتيب
للحصول على كتيب بكامل محتويات الدورة برجاء ملء النموذج التالي ببياناتك الصحيحة

Program Professional Framework
Power BI: Data-Driven Decision Making & Reporting
Program Overview
Dashboards add value only when they change what managers decide and do. This programme uses Power BI as a decision support tool: linking KPIs to objectives and targets, building variance and target-tracking measures, scenario analysis with what-if parameters, driver analysis with key influencers and decomposition trees, paginated reports for formal monthly packs, subscriptions and alerts, and governance that keeps decision data trusted. Cases reflect performance management practice in Gulf government entities and companies.
Learning Outcomes
- ✓Map strategic objectives to KPIs with targets, thresholds and accountable owners in a Power BI model.
- ✓Build measures for actual versus target, variance, trend and forecast that flag exceptions automatically.
- ✓Use what-if parameters to model the effect of alternative decisions on a KPI.
- ✓Identify drivers of performance using key influencers and the decomposition tree.
- ✓Produce a paginated monthly report suitable for formal management meetings.
- ✓Set up subscriptions and alerts so decision makers receive timely information.
Target Audience
- Strategy and performance management officers
- Department managers and decision makers who use Power BI reports
- Financial planning and analysis staff
- BI analysts supporting management committees
Detailed Program Modules
01From Data to Decisions
- Decision types and information needs
- KPI trees linked to objectives
- Common reasons dashboards are ignored
02Performance Measures in Power BI
- Targets, thresholds and status logic
- Variance and trend measures
- Forecasts and run-rate projections
03Scenario and What-If Analysis
- What-if parameters
- Sensitivity of KPIs to assumptions
- Comparing decision options
04Driver and Root Cause Analysis
- Key influencers visual
- Decomposition tree
- Drillthrough to detail
05Formal Reporting
- Paginated reports for management packs
- Commentary and annotation
- Subscriptions and data alerts
06Decision Governance
- Single source of truth and endorsed models
- Data quality indicators in reports
- Tracking decisions and their outcomes
Training Methodology
Applied Project & Assessment
Applied Project
Participants build a decision support report for a management committee: KPI tree with targets, variance and forecast measures, a what-if scenario page, a driver analysis page, a paginated monthly pack and an alert configuration for critical thresholds.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.
