IIBA® Certification in Business Data Analytics – CBDA

Duration: Three Full Days or Six Half Days

Overview

The Certification in Business Data Analytics (IIBA®–CBDA) is a globally recognized credential validating a professional’s ability to apply data analysis concepts to real-world business challenges.

Aligned with the Guide to Business Data Analytics, this course provides practical training for professionals working with data to enable business outcomes. It combines theoretical knowledge and hands-on exercises, preparing participants to confidently perform business data analytics and achieve certification success.

Who Should Attend

• Business Analysts, Data Analysts, Project Managers, and Consultants involved in data-driven projects

• Professionals seeking to strengthen their ability to link business analysis and data analytics practices

• Individuals with at least two years of experience performing analysis-related work who want to formalize their skills in data analytics

• Organizations and teams adopting a data-centric approach to business decision-making

Prerequisites

No formal prerequisites are required. Recommended for participants who:

• Have a minimum of two years of experience in business analysis or related analytics roles

• Possess foundational knowledge of data analysis techniques, business analytics processes, and decision-support systems

• Are familiar with the BABOK® Guide and the Guide to Business Data Analytics

Exam Format

• Type: Competency-based, scenario-driven multiple-choice exam

• Format: Online Remote Proctored (via PSI® platform)

• Duration: 120 minutes

• Number of Questions: 75 multiple-choice, scenario-based questions

Delivery Mode / Training

• Instructor-led sessions (classroom or virtual live training)

• Interactive workshops and case studies

• Exam-focused preparation with practice questions and test strategies

• Access to online resources, templates, and reference materials

• Flexible timing options across US, UK, Europe, Dubai, Middle East, India, and Asia-Pacific

Topics Covered

1. Identify the Research Questions – 20%

   • Understand business problems and opportunities, define objectives, and identify key research questions that guide analysis

2. Source Data – 15%

   • Locate, gather, and validate relevant data sources, ensuring accuracy and integrity

3. Analyze Data – 16%

   • Apply analytical techniques to process, visualize, and interpret data trends and patterns

4. Interpret and Report Results – 20%

   • Communicate data insights through reports, dashboards, and visualizations that support stakeholder understanding

5. Use Results to Influence Business Decision-Making – 20%

   • Integrate analytical outcomes into business strategies, supporting data-driven decisions and actions

6. Guide Organization-Level Strategy for Business Analytics – 9%

   • Promote a culture of analytics within the organization, aligning business goals with analytical capabilities and governance

Learning Outcomes

1. Define and structure effective research questions – 20%

   • Translate business needs into analytical objectives and measurable outcomes

2. Collect and validate relevant data for analysis – 15%

   • Identify suitable data sources, assess quality, and prepare datasets for meaningful insights

3. Perform data analysis and interpretation – 16%

   • Use analytical tools and techniques to extract trends and insights from structured and unstructured data

4. Present insights and findings clearly – 20%

   • Develop reports and visualizations that effectively communicate analytical results to stakeholders

5. Influence business decisions through data-driven recommendations – 20%

   • Support strategy and decision-making with evidence-based insights that drive measurable value

6. Contribute to organizational data analytics strategy – 9%

   • Champion analytics maturity and guide teams in embedding data analysis as a core organizational capability