To achieve the professional designation of IIBA Certification in Business Data Analytics from the IIBA, candidates must clear the CBDA Exam with the minimum cut-off score. For those who wish to pass the IIBA Business Data Analytics certification exam with good percentage, please take a look at the following reference document detailing what should be included in IIBA Business Data Analytics Exam preparation.
The IIBA CBDA Exam Summary, Body of Knowledge (BOK), Sample Question Bank and Practice Exam provide the basis for the real IIBA Certification in Business Data Analytics (CBDA) exam. We have designed these resources to help you get ready to take IIBA Certification in Business Data Analytics (CBDA) exam. If you have made the decision to become a certified professional, we suggest you take authorized training and prepare with our online premium IIBA Business Data Analytics Practice Exam to achieve the best result.
IIBA CBDA Exam Summary:
| Exam Name | IIBA Certification in Business Data Analytics |
| Exam Code | CBDA |
| Exam Fee | Member - $250, Non-Member - $400 |
| Retake Fee | Member - $195, Non-Member - $350 |
| Recertification Fee | Member - $30, Non-Member - $50 |
| Exam Duration | 120 Minutes |
| Number of Questions | 75 |
| Passing Score | 80% |
| Format | Multiple Choice Questions |
| Schedule Exam | PROMETRIC |
| Sample Questions | IIBA Business Data Analytics Exam Sample Questions and Answers |
| Practice Exam | IIBA Certification in Business Data Analytics (CBDA) Practice Test |
IIBA Business Data Analytics Syllabus Topics:
| Topic | Details |
|---|---|
Identify the Research Questions - 20% |
|
| Identify and frame the business situation |
- General Awareness: Understands the problems or opportunities the business wants to address - Practical Knowledge: Follows Rules to define the business need - Practical Knowledge: Follows Rules to analyze the current state to understand the existing environment - General Awareness: Understands the future state including the outcomes being sought from the analytics research - General Awareness: Understands determining gaps between current and future state - General Awareness: Understands the KPIs and/or metrics to gauge success - General Awareness: Understands determining the scope of the analytics effort - General Awareness: Understands determining analytics assumptions, constraints, dependencies - General Awareness: Basic Knowledge of the organization’s current state of analytics, including current culture, practices, skills, systems, and data |
| Plan analytics approach |
- General Awareness: Basic Knowledge of defining how analytics work will be performed - General Awareness: Understands formulating the research questions that analytics will be used to answer - General Awareness: Basic Knowledge of determining the activities, deliverables, models - General Awareness: Basic Knowledge of picking tools & techniques based on the category of analytics - General Awareness: Basic Knowledge of the sequence of work activities - General Awareness: Understands obtaining approval on approach including research question |
Source Data - 15% |
|
| Plan data sourcing activities |
- General Awareness: Basic Knowledge of what data is needed to answer the research question - General Awareness: Understands to contribute expertise about data required/available |
| Identify data sources |
- General Awareness: Understands determining what data is already collected and what new data is needed - General Awareness: Basic Knowledge of the data sources that make up the data set (data lakes, marts, vaults, warehouse) |
| Determine how and when to obtain data |
- General Awareness: Basic Knowledge of identifying data frequency and flow - General Awareness: Understands assessing the quality of data |
| Perform data setup and preparation |
- General Awareness: Basic Knowledge of determining sample size - General Awareness: Basic Knowledge of supporting data scientists with data sampling - General Awareness: Understands establishing/identifying relationships in data - General Awareness: Basic Knowledge of dependencies between data e.g., clustering/sensitivity analysis - General Awareness: Basic Knowledge of data linkages between data sources - General Awareness: Basic Knowledge of acquiring data - General Awareness: Basic Knowledge of pre-process/cleaning data - General Awareness: Understands assessing data integrity/quality - General Awareness: Understands detecting outliers/noise/features from a data set - General Awareness: Basic Knowledge of adjusting the data acquisition approach as needed |
Analyze Data - 16% |
|
| Analyze Data |
- General Awareness: Understands producing scope, data, and decision models - General Awareness: Basic Knowledge of creating architectural diagrams - General Awareness: Basic Knowledge of developing mathematical models - General Awareness: Basic Knowledge of suggesting and implementing predictive models such as regression, logistics regression, decision trees/random forest, neural nets, etc. - General Awareness: Basic Knowledge of preparing data - General Awareness: Basic Knowledge of performing data analysis - General Awareness: Understands whether the analytics results are helping to answer the business question - General Awareness: Basic Knowledge of adjusting to the analytics approach as needed, based on results obtained - General Awareness: Basic Knowledge of interpreting regression output and adjust models as needed |
Interpret and Report Results - 20% |
|
| Interpret and Report Results |
- General Awareness: Understands interpreting results - General Awareness: Understands deriving insights from the results of analysis - General Awareness: Understands refining problem/opportunity statements based on findings - General Awareness: Understands putting forth recommendations from insights derived - Practical Knowledge: Follows Rules to develop the business narrative to explain results to the business - Practical Knowledge: Follows Rules in developing visualizations to help with communications - Practical Knowledge: Follows Rules in preparing the analytics package to communicate - Practical Knowledge: Follows Rules in determining how best to package and communicate - Practical Knowledge: Follows Rules in determining stakeholder communication needs |
Use Results to Influence Business Decision Making - 20% |
|
| Use Results to Influence Business Decision Making |
- General Awareness: Understands determining if analytics results answer the research question - General Awareness: Understands assessing how well the analytics results are meeting the business need - Practical Knowledge: Follows Rules in assessing proposed solution and recommending action - General Awareness: Understands developing an implementation plan - Practical Knowledge: Follows Rules in assessing organizational readiness and managing change |
Guide Organization-level Strategy for Business Analytics - 9% |
|
| Recommend Action | - General Awareness: Understands the process of transforming analysis results back into policies and procedures within an organization |
| Evaluation |
- General Awareness: Understands assessing the proposed analytics solution - General Awareness: Basic Knowledge of measuring the behavior or outcome of data-driven decisions that are made - General Awareness: Basic Knowledge of assessing the analytics and system approach - General Awareness: Understands assessing organizational readiness including identified gaps, resources, data, automation readiness and asking the right questions:
|
| Master Data Management |
- General Awareness: Basic Knowledge to ensure that data is represented consistently - Practical Knowledge: Follows Rules in contributing to the maintenance of a glossary - General Awareness: Basic Knowledge of data security - General Awareness: Basic Knowledge of performing data validation for metrics / KPIs |
| Perform Data Curation |
- General Awareness: Understands building internal reporting/analytics dashboards - General Awareness: Understands scanning and cataloging the data assets in a company |
| Metadata Management |
- General Awareness: Basic Knowledge of the differences between master data and operational and transactional data - General Awareness: Basic Knowledge of identifying and applying data privacy rules |
| Performance Improvement |
- General Awareness: Basic Knowledge of ensuring that a standard set of tools/techniques are identified, and best practices adhered to - General Awareness: Basic Knowledge on providing information about best practices and adherence to standards - General Awareness: Basic Knowledge of ensuring that sampling methods are shared across teams (where meaningful) and understood by all - General Awareness: Basic Knowledge of maintaining analytics requirements for re-use |
Both IIBA and veterans who’ve earned multiple certifications maintain that the best preparation for a IIBA CBDA professional certification exam is practical experience, hands-on training and practice exam. This is the most effective way to gain in-depth understanding of IIBA Business Data Analytics concepts. When you understand techniques, it helps you retain IIBA Business Data Analytics knowledge and recall that when needed.