Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

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?

Show Suggested Answer Hide Answer
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:

Alonzo
9 days ago
I think unpivoting and re-associating the data tables for each customer is the way to go.
upvoted 0 times
...
Latricia
15 days ago
I think duplicating and renaming the apps for each customer would be the best approach.
upvoted 0 times
...
Farrah
16 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.
upvoted 0 times
...
Reiko
24 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.
upvoted 0 times
Kathryn
1 days ago
Option A is definitely the most efficient way to handle this situation.
upvoted 0 times
...
Dorthy
3 days ago
Option A) Apply Section Access to manage the data for each customer
upvoted 0 times
...
...
Keneth
1 months ago
I disagree, I believe creating multiple visualizations using set analysis would be more efficient.
upvoted 0 times
...
Eun
1 months ago
Duplicating the apps? I'd rather duplicate my effort at the gym than go through that hassle. Option A for the win!
upvoted 0 times
...
Aron
1 months 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?
upvoted 0 times
Gracie
11 days ago
C) Duplicate and rename the apps for each customer
upvoted 0 times
...
Miesha
13 days ago
That's true, using Section Access would make it easier to control data access for each customer.
upvoted 0 times
...
Stephane
14 days ago
A) Apply Section Access to manage the data for each customer
upvoted 0 times
...
...
Craig
2 months ago
I think we should apply Section Access to manage the data for each customer.
upvoted 0 times
...

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77