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Qlik Exam QSBA2024 Topic 3 Question 15 Discussion

Actual exam question for Qlik's QSBA2024 exam
Question #: 15
Topic #: 3
[All QSBA2024 Questions]

Two customers in an organization want to use an app that contains a finance data set. With different analysis objectives, each customer will only use a subset of that data. Which procedure should the business analyst follow?

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Suggested Answer: B

In Qlik Sense, Set Analysis is one of the most powerful tools available to a Business Analyst for managing different subsets of data within the same app. Since both customers are working with the same finance dataset but have different objectives, creating multiple visualizations using set analysis allows the analyst to tailor the data views for each customer without duplicating the app or creating complex data models.

Key Concepts:

Set Analysis: This feature enables the creation of expressions that define subsets of data, allowing you to filter data within specific visualizations. This is ideal when multiple users need different insights from the same underlying dataset.

Flexibility: Using set analysis, you can specify conditions within individual visualizations so that each user can focus on their own segment of the data without impacting others.

Efficiency: This method avoids redundancy by ensuring you only need one app and one data model, instead of duplicating and maintaining multiple apps or applying complex logic such as Section Access.

Why the Other Options Are Less Suitable:

A . Apply Section Access: While Section Access is useful for managing security and limiting what users can see in the entire dataset, it is primarily designed to restrict data access based on user roles. In this case, both users need access to the same dataset but will conduct different analyses. Section Access would be an overly restrictive and complex solution for this scenario.

C . Duplicate and rename the apps: This is inefficient because it leads to redundancy and makes maintenance harder (e.g., any changes to the dataset or visualizations would need to be applied to both apps). It also increases the risk of inconsistencies across versions of the app.

D . Unpivot and re-associate the data tables: This option is not relevant to the problem, as unpivoting is more appropriate for transforming datasets rather than tailoring views for different users within the same app. It does not address the need for customer-specific analysis objectives.

References for Qlik Sense Business Analyst:

Set Analysis: In the Qlik Sense Business Analyst's toolkit, Set Analysis is covered as a method to manage diverse data subsets within single apps, providing the flexibility needed in multi-user environments without duplicating content.

Efficient Application Design: Best practices suggest maintaining a single app where possible to ensure consistency and ease of maintenance, which aligns with the approach of using Set Analysis.

By using Set Analysis, you provide both customers with tailored data views that are easily managed and updated within a single app. This is why option B is the most effective and verified solution.


Contribute your Thoughts:

Farrah
1 days ago
Option B with set analysis? That's like solving a Rubik's cube while juggling chainsaws. Option A is the way to go, unless you want to end up in the finance data version of the Upside Down.
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Reiko
9 days ago
Unpivoting the data and re-associating the tables? That sounds like a lot of work. I'd go with the simpler Option A if I were the business analyst.
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Keneth
18 days ago
I disagree, I believe creating multiple visualizations using set analysis would be more efficient.
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Eun
19 days ago
Duplicating the apps? I'd rather duplicate my effort at the gym than go through that hassle. Option A for the win!
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Aron
22 days ago
Option A seems like the most straightforward solution. Why complicate things when you can just use Section Access to control data access for each customer?
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Craig
1 months ago
I think we should apply Section Access to manage the data for each customer.
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