IIBA-CBDA Verified 2026 Edition

Certification in Business Data AnalyticsPractice Test

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Exam Information

Official specifications published by IIBA

Exam Format

120 min
Not disclosed (estimated 75%)
Specialized

Registration

Online Remote Proctored or online proctoring
English

Validity

1 year
Annual renewal required; Continuing Development Units (CDUs) required; Professional development activities

IIBA-CBDA Exam Topics and Domains

IIBA-CBDA is organized into 6 weighted domains.

1

Identify the Research Questions

20%

Identify and Frame the Business Situation

Understand Problems and OpportunitiesDefine the Business NeedAnalyze Current StateUnderstand Future StateDetermine GapsDefine KPIs and Metrics
  • Identify symptoms of business problems based on expertise and knowledge
  • Frame business situations using structured approaches
  • Define measurable success criteria for analytics initiatives

Formulate Research Questions and Approach

Formulate Research QuestionsDetermine Activities and DeliverablesSelect Tools and TechniquesSequence Work ActivitiesObtain Approval on Approach
  • Formulate research questions that analytics will answer
  • Select appropriate techniques for identifying research questions
  • Develop and validate analytics approach with stakeholders
2

Source Data

15%

Identify Data Sources

Assess Data AvailabilityEvaluate Data Quality
  • Identify and assess available data sources
  • Evaluate data quality across multiple dimensions
  • Select appropriate techniques for sourcing data

Acquire and Prepare Data

Data AcquisitionSample Size DeterminationData Format Standardization
  • Acquire data from multiple sources
  • Determine appropriate sample sizes
  • Standardize data formats for analysis
3

Analyze Data

16%

Prepare Data for Analysis

Data CleaningData Linkage
  • Clean and preprocess data for analysis
  • Establish relationships between datasets
  • Create coherent datasets from multiple sources

Perform Analysis

Exploratory Data AnalysisStatistical AnalysisPredictive ModelingClustering and Segmentation
  • Perform exploratory data analysis
  • Apply statistical methods to validate hypotheses
  • Build and evaluate predictive models
  • Identify patterns and segments in data
4

Interpret and Report Results

20%

Interpret Analytical Results

Results InterpretationInsight Generation
  • Interpret analytical results in business context
  • Extract meaningful insights from analysis
  • Understand limitations and assumptions

Communicate Findings

Data VisualizationReport CreationStakeholder Presentation
  • Create effective data visualizations
  • Write clear and concise reports
  • Present findings to various stakeholder groups
5

Use Results to Influence Business Decision Making

20%

Translate Findings to Recommendations

Business RecommendationsDecision Support
  • Translate analytical findings into business recommendations
  • Support decision-making with data-driven insights
  • Evaluate implementation alternatives

Drive Organizational Change

Change ManagementPerformance Monitoring
  • Influence stakeholders with data-driven insights
  • Drive organizational change based on analytics
  • Monitor and evaluate decision outcomes
6

Guide Organization-Level Strategy for Business Data Analytics

9%

Analytics Strategy Development

Analytics FrameworkGovernance and Standards
  • Develop organizational analytics frameworks
  • Establish governance and standards
  • Build analytics capabilities

Analytics Culture and Enablement

Culture BuildingTool and Technology Strategy
  • Build data-driven organizational culture
  • Develop technology and tool strategies
  • Enable analytics capabilities across the organization

How do I earn this certification?

Passing IIBA-CBDA earns the Certified Business Data Analytics Professional certification. It sits in the Business Data Analytics track.

Current Level Exams
Next Level Options
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What's changed on this exam?

Current Status
  • ACTIVE
  • Last content update: 2024-07-01
Updates
  • Cloud Analytics Platforms Increased focus on cloud-based analytics tools
  • AutoML and AI-Assisted Analytics New questions on automated analytics processes
  • Real-time Analytics Scenarios involving streaming data and real-time decisions
  • Data Mesh Architecture Organizational strategy questions may reference distributed analytics

Who should take this exam?

This exam is typically taken by Business Analysts and Data Analysts.

  • 2+ years of work in business data analytics or related field
  • Experience with data analysis tools and techniques
  • Understanding of business analysis fundamentals
  • Familiarity with statistical concepts

What jobs can I get with this?

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