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Salesforce Exam Salesforce AI Associate Topic 2 Question 20 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 20
Topic #: 2
[All Salesforce AI Associate Questions]

What are the potential consequences of an organization suffering from poor data quality?

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Suggested Answer: B

The potential consequences of an organization suffering from poor data quality include revenue loss, poor customer service, and reputational damage. Poor data quality can lead to inaccurate analytics and decision-making, impacting customer interactions, marketing strategies, and financial forecasting. These issues ultimately affect customer satisfaction and could lead to financial losses and a damaged brand reputation. Salesforce highlights the importance of maintaining high data quality for effective CRM and AI applications, offering various tools and best practices to enhance data integrity. For guidance on managing and improving data quality in Salesforce, see the Salesforce documentation on data quality at Salesforce Data Quality.


by Clay at May 31, 2024, 03:50 PM

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Slyvia
10 months ago
Option B all the way! If my data's not up to snuff, I might as well just pack up my desk and go home. Ain't nobody got time for that!
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Francine
10 months ago
Hold up, what about option C? Technical debt and slow ETL? That's a recipe for a real IT nightmare if you ask me.
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Lenna
9 months ago
We need to address these issues before they snowball into a full-blown IT nightmare.
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Sheldon
9 months ago
Slow ETL throughput can cause delays in processing data, impacting the organization's efficiency.
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Danilo
10 months ago
Option C is definitely a concern. Technical debt can really pile up if data quality is poor.
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Jules
10 months ago
Hmm, I'm leaning towards B as well. I mean, who wants to lose money and end up with a bad rep? Not this girl!
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Adelina
9 months ago
Hmm, I'm leaning towards B as well. I mean, who wants to lose money and end up with a bad rep? Not this girl!
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Eve
10 months ago
B) Revenue loss, poor customer service, and reputational damage
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Gianna
10 months ago
A) Low employee morale, stock devaluation, and inability to attract top talent
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Garry
10 months ago
I agree with you, Avery. It can also result in low employee morale and stock devaluation.
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Emilio
10 months ago
Hah, I'm pretty sure the answer is B. Who wants to deal with angry customers and a tarnished reputation? Not me!
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Avery
11 months ago
I think poor data quality can lead to revenue loss and reputational damage.
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Yasuko
11 months ago
Option B is definitely the correct answer. Poor data quality can lead to all sorts of nasty consequences for the organization.
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Lashaunda
10 months ago
Yes, revenue loss, poor customer service, and reputational damage can really hurt a company in the long run.
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Hui
10 months ago
Option B is definitely the correct answer. Poor data quality can lead to all sorts of nasty consequences for the organization.
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Olga
10 months ago
Yes, revenue loss, poor customer service, and reputational damage can really hurt a company in the long run.
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Tamar
10 months ago
Option B is definitely the correct answer. Poor data quality can lead to all sorts of nasty consequences for the organization.
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Eric
10 months ago
Yes, revenue loss, poor customer service, and reputational damage are definitely things to watch out for when data quality is lacking.
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Wade
10 months ago
Option B is definitely the correct answer. Poor data quality can lead to all sorts of nasty consequences for the organization.
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