Business Intelligence: Data Analysis and Reporting Techniques
- Perform budget-versus-actual and period-over-period variance analysis and explain the main drivers.
- Apply Pareto, contribution and segmentation analysis to identify where performance is concentrated.
- Structure a management report with a clear hierarchy from summary to detail.
- Apply consistent notation for actuals, plans and forecasts and choose charts suited to each comparison.
- Write concise analytical commentary that states findings, causes and recommended actions.
- Automate a recurring report so that data refresh requires no manual copying.
- Purpose-Driven Reporting
- Audiences, decisions and reporting cycles
- Operational, management and executive reports
- Common weaknesses of existing reports
- Core Analytical Techniques
- Variance and trend analysis
- Pareto and contribution analysis
- Ratio and driver analysis
- Segmentation and Comparative Views
- Customer, product and region segmentation
- Cohort and benchmark comparisons
- Exception and threshold highlighting
- Report Design Standards
- Structuring pages from summary to detail
- Notation for actuals, plans and forecasts
- Chart selection for each type of comparison
- Commentary and Storytelling
- Writing findings, causes and actions
- Executive summaries
- Presenting reports in management meetings
- Automation and Quality Control
- Parameterised and refreshable reports
- Reconciliation and data validation checks
- Version control and distribution
الحصول على الكتيب
للحصول على كتيب بكامل محتويات الدورة برجاء ملء النموذج التالي ببياناتك الصحيحة

Program Professional Framework
Business Intelligence: Data Analysis and Reporting Techniques
Program Overview
Reports often contain plenty of numbers yet fail to tell managers what changed and what to do. This programme concentrates on the analysis and reporting layer of BI: variance and trend analysis, contribution and Pareto analysis, cohort and segmentation views, consistent report structures, notation guidance such as the International Business Communication Standards (IBCS), commentary writing and report automation. Participants rebuild an existing management report so that it highlights exceptions, explains drivers and supports decisions.
Learning Outcomes
- ✓Perform budget-versus-actual and period-over-period variance analysis and explain the main drivers.
- ✓Apply Pareto, contribution and segmentation analysis to identify where performance is concentrated.
- ✓Structure a management report with a clear hierarchy from summary to detail.
- ✓Apply consistent notation for actuals, plans and forecasts and choose charts suited to each comparison.
- ✓Write concise analytical commentary that states findings, causes and recommended actions.
- ✓Automate a recurring report so that data refresh requires no manual copying.
Target Audience
- Management reporting and MIS analysts
- Financial planning and analysis staff
- BI developers responsible for report design
- Performance and strategy office analysts
Detailed Program Modules
01Purpose-Driven Reporting
- Audiences, decisions and reporting cycles
- Operational, management and executive reports
- Common weaknesses of existing reports
02Core Analytical Techniques
- Variance and trend analysis
- Pareto and contribution analysis
- Ratio and driver analysis
03Segmentation and Comparative Views
- Customer, product and region segmentation
- Cohort and benchmark comparisons
- Exception and threshold highlighting
04Report Design Standards
- Structuring pages from summary to detail
- Notation for actuals, plans and forecasts
- Chart selection for each type of comparison
05Commentary and Storytelling
- Writing findings, causes and actions
- Executive summaries
- Presenting reports in management meetings
06Automation and Quality Control
- Parameterised and refreshable reports
- Reconciliation and data validation checks
- Version control and distribution
Training Methodology
Applied Project & Assessment
Applied Project
Participants take an existing monthly report from their organisation or a supplied case and redesign it: restructured layout, variance and Pareto analyses, standardised notation, written commentary and an automated refresh process with validation checks.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.


