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Certification in Business Data Analytics (IIBA®- CBDA)

The new Certification in Business Data Analytics (IIBA®- CBDA) recognizes your ability to effectively execute analysis related work in support of business analytics initiatives.



Certification in Business Data Analytics

Earning this certification informs employers of your passion for and competencies performing business analysis on analytics initiatives. The certification helps identify skilled business data analytics professionals to organizations seeking these in-demand skills.


CBDA Exam Sample Questions and Self-Assessment

The exam consists of 75 multiple-choice, scenario-based questions to be completed within 2 hours.

View CBDA Exam Sample Questions and Self-Assessment

Register for the exam

CBDA Exam Information

The IIBA®- CBDA exam includes questions pertaining to the six Blueprint Domains, five practitioner-based domains as discussed in IIBA's Introduction to Business Data Analytics: A Practitioners View, and one organizational-based domain from IIBA's Introduction to Business Data Analytics: An Organizational View:

  • Identify Research Questions – 20% (Domain 1)
  • Source Data – 15% (Domain 2)
  • Analyze Data – 16% (Domain 3)
  • Interpret and Report Results – 20% (Domain 4)
  • Use Results to Influence Business Decision Making – 20% (Domain 5)
  • Guide Company-level Strategy for Business Analytics - 9% (Domain 6)

Why Should You Become CBDA Certified?

Data-focused organizations perform better and making the most of the data is key in making sound business decisions. Your strong business analysis skills coupled with the knowledge, competencies and experience performing business analytics activities are in high demand.

A recent article* ranked business analysis amongst the most in-demand hard skills of 2019, along with analytical reasoning. Certification in Business Data Analytics is the key to help you prepare for these in-demand skills and to remain on top of industry trends.

*LinkedIn Talent Blog “The Most In-demand Hard and Soft Skills of 2019”
Learn more and explore our resources on Business Data Analytics

Top 5 Benefits Business Analysts Provide Analytics Teams

Business analysis professionals who have the skills to effectively perform on business data analytics initiatives contribute to their teams in various ways, including providing the ability to:

  • Translate business problems into questions that analytics can answer
  • Use analytics results to identify viable options
  • Explain technical results to non-technical stakeholders
  • Visualize data and translate results via data storytelling
  • Build and demonstrate empathy for the customer

Introducing Certification Digital Badges

Show the World You Mean Business

IIBA is pleased to announce we have introduced digital badges as a way to share and validate business analysis certification achievements.

digital badges


Test Your Business Data Analytics Know-How

Take our sample questions quiz to check your readiness to write the IIBA®- CBDA exam.

Sample Questions


1. A financial software company has growth and expansion as one of their top strategic priorities for the year. The senior executive team wants to assess their sales performance over the last 3 years to help set the sales objectives. From the questions below, which would evaluate the team effectiveness at making a sale?

a) What is the annual revenue growth?

b) What is the average time for conversion?

c) What is the number of customers retained over the past 3 years?

d) When is the correct time to market the software?

2. A restaurant chain is interested in deploying more efficient methods for servicing its customers. The sales manager has asked the analytics team to help answer the question ‘Will customers purchase less food if asked to use self-service features’? A predictive model is built to perform the research but the team is unsure of its mathematical accuracy in determining customer behavior. Which technique could the team use to validate the model for accuracy?

a) Forecasting

b) Simulation

c) Process modeling

d) Regression analysis

3. When comparing two data sources for the same set of employees, an analyst found that one of the data sources had the format for the start date as dd/mm/yyyy, while the other data source had the format as dd-mm-yyyy. Which data quality dimension is being evaluated here?

a) Validity

b) Accuracy

c) Consistency

d) Uniqueness

4. Within a public health dataset, 96% of the observations describe 35-year-old men. Which inference is a valid statement?

a) Age and gender features can be eliminated

b) Age and gender features can be included

c) Gender feature can be removed

d) Age feature can be removed

5. An analyst is building a dashboard for the Senior Executive team. Which of the following, if added, would add context and commentary?

a) Design, which focuses on the use of color and placement of visuals

b) Tools, which help creating the visuals through the data

c) Narrative, which includes the context and commentary

d) Channel, which is the medium used to communicate

6. During a session on the importance of data storytelling, an analytics manager tells the team that memorability is one of its key benefits. How does a story make data reporting easier to remember?

a) The results are more quickly understood by the brain

b) The visuals are more appealing and highlights are easily observed

c) It can be made to support the claim behind the analytics project

d) It stimulates more areas of the brain making it engaging

7. A business analyst is running a focus group to review the findings from a recent analytics project. The analyst would like to use the focus group to uncover opinions and attitudes about the results. Which of the following provides an example of a well-run focus group?

a) The stakeholders were delighted with the findings and no discussion is recorded as everyone is satisfied

b) The business analyst conducted a freeform discussion to gather a general sense of stakeholders’ opinions

c) The group selected a representative who spoke on behalf of the team

d) The subsequent report included areas of agreement and disagreement

8. The research question prompting the use of analytics is well-defined. If the source data the team expected to use ends up being unreliable, what is the next step the team can take without changing the original objective?

a) Identify research question

b) Data sourcing

c) Data collection

d) Data analysis

9. New legislation has been passed governing policy around open data. While there are many advantages obtained from open data, which of the following will provide challenges?

a) Data validity

b) Data privacy

c) Data reliability

d) Data reproducibility

10. A model is developed to communicate the correlation between two variables. Which diagram is produced?

a) Bar Chart

b) Box Plot

c) Scatter Plot

d) Pie Chart



Your answers to the questions above should help you determine if you are ready to earn the IIBA-CBDA.

Answers: b, b, c, a, c, d, d, a, b, c

Are You Ready to Earn This Certification?

Congratulations! If you answered all the sample questions correctly you have a good grasp of business data analytics.

Apply now

Get more information: If you scored less than 80 percent correct, read the  Understanding Business Data Analytics paper.  


This mid-level certificate/certification is priced at USD $450 for IIBA members and USD $575 for non-members.

Exam Fee Member: $450
Exam Fee Non-Member: $575
Exam Rewrite Fee Member: $400
Exam Rewrite Fee Non-Member: $525