IIBA CBDA Exam - Topic 2 Question 42 Discussion

Actual exam question for IIBA's CBDA exam

Question #: 42
Topic #: 2

[All CBDA Questions]

The sales department is interested in using business analytics to better understand their customer's purchasing habits. During the process of sourcing data, the analyst discovers geographic differences in how sales data is being recorded. The analyst would like to influence how the organization strategically plans for business analytics. Which practice, would move the organization closer to meeting this objective?

AData governance

BData integration

CData management

DData warehousing
Explanation:
Data governance is the practice of establishing and enforcing policies, standards, roles, and responsibilities for the quality, security, and usage of data across an organization1. Data governance helps ensure that data is consistent, reliable, and trustworthy, and that it aligns with the organization's strategic goals and objectives.Data governance also facilitates collaboration and communication among different stakeholders, such as business analysts, data owners, data stewards, and data consumers2.By implementing data governance, the analyst can influence how the organization strategically plans for business analytics, as data governance can help address the issues of data quality, data integration, data access, data ethics, and data value3.
Data integration, data management, and data warehousing are related but distinct concepts from data governance.Data integration is the process of combining data from different sources into a unified view4.Data management is the process of collecting, storing, organizing, and maintaining data throughout its lifecycle5. Data warehousing is the process of creating and maintaining a centralized repository of data for analytical purposes.While these practices can support business analytics, they do not necessarily influence how the organization strategically plans for business analytics, as they are more focused on the technical aspects of data rather than the organizational aspects of data.

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Suggested Answer: A

by Alita at Nov 20, 2025, 12:50 AM

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Xuan

1 day ago

Data integration is also super important, though!

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Rochell

7 days ago

Wait, are we sure data governance is the best option?

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Luisa

25 days ago

Totally agree, without it, data is just a mess.

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Loreta

1 month ago

Data governance is key for data quality!

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Luisa

1 month ago

Haha, data governance? More like data chaos governance! But seriously, it's the best option to get the organization on the right track for analytics.

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Misty

1 month ago

I agree, data governance is the answer. Establishing clear roles and responsibilities will help the organization get a handle on their data challenges.

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Merrilee

2 months ago

Definitely data governance. Addressing the issues of data quality, integration, and ethics is key for strategic business analytics planning.

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Christoper

2 months ago

Data governance seems like the way to go here. Gotta get those policies and standards in place to ensure data quality and alignment with business goals.

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Pa

2 months ago

I keep mixing up data management and data governance. I feel like both are crucial, but governance seems to have a stronger impact on strategy.

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Han

2 months ago

I practiced a similar question where data governance was emphasized for ensuring data quality. I think it aligns well with the analyst's goal.

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Grover

2 months ago

I'm not entirely sure, but I think data integration might be important too. It helps combine data, but does it really influence strategic planning?

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Melinda

2 months ago

Hmm, this is a tough one. I'm leaning towards data governance, but I want to make sure I'm not missing something about the other options. I'll need to re-read the explanations to solidify my understanding.

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Carin

3 months ago

Data governance seems like the clear choice. It's all about aligning data with the organization's strategic goals, which is exactly what the analyst is trying to do. I feel pretty confident about this one.

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Jaclyn

3 months ago

I'm a bit confused by the differences between these data practices. I'll need to review the explanations carefully to make sure I understand which one is the most appropriate for this scenario.

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Erick

3 months ago

I remember studying data governance and how it sets the framework for data quality and usage. It seems like the right choice here.

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Catarina

3 months ago

I think A) Data governance is the best choice. It sets the rules.

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Noel

4 months ago

Agreed! Without governance, data can be messy.

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Nieves

4 months ago

I thought data warehousing was the main focus for analytics.

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Marilynn

4 months ago

Data governance sounds like the best option here. It's about establishing policies and responsibilities for data quality and usage, which could help the analyst influence the organization's strategic planning for business analytics.

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Joseph

4 months ago

This seems like a tricky question. I'm not sure if I fully understand the difference between all these data practices. I'll need to think carefully about which one is most relevant to the analyst's objective.

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Stevie

3 months ago

I get what you mean! Data governance sounds crucial for strategy.

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