Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location PL
Mob_nav_barsMENU

Salesforce Exam Salesforce AI Associate Topic 4 Question 33 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 33
Topic #: 4
[All Salesforce AI Associate Questions]

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

Show Suggested Answer Hide Answer
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 Alberto at Oct 23, 2024, 08:05 AM

Limited Time Offer

25%

Off

Get Premium Salesforce AI Associate Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Kate
14 days ago
I'm with Tish and Tiera on this one. Option B captures the most critical consequences of poor data quality. Revenue and reputation are the lifeblood of any organization.
upvoted 0 times
Sylvie
1 days ago
I agree, revenue loss and reputational damage can be devastating for a company.
upvoted 0 times
...
...
My
19 days ago
Haha, C reminds me of my old job. Constant technical debt and sluggish data processing - what a nightmare! Definitely not the answer though, B is the clear winner.
upvoted 0 times
...
Silvana
23 days ago
Hmm, I'd say A is the way to go here. Poor data quality can really hurt employee morale and make it tough to attract top talent. That's a recipe for disaster in the long run.
upvoted 0 times
Ashton
4 days ago
Definitely, stock devaluation can also impact the financial stability of the organization.
upvoted 0 times
...
Inocencia
11 days ago
I agree, low employee morale can lead to decreased productivity and high turnover rates.
upvoted 0 times
...
...
Tiera
25 days ago
I'd have to go with B as well. Losing cusTieraers and having a tarnished brand reputation is a death sentence in today's competitive market. Not good at all!
upvoted 0 times
Geoffrey
4 days ago
I agree, revenue loss and poor customer service can really hurt an organization.
upvoted 0 times
...
...
Tish
1 months ago
Option B is clearly the right answer. Revenue loss and reputational damage are the most serious consequences of poor data quality. Customers won't stick around if the service is subpar.
upvoted 0 times
Harrison
1 days ago
User 4: It's important to prioritize data quality to avoid these issues.
upvoted 0 times
...
Christiane
4 days ago
User 3: Poor data quality can have serious consequences for an organization.
upvoted 0 times
...
Annamae
6 days ago
User 2: Revenue loss and reputational damage can really hurt a company.
upvoted 0 times
...
Lorean
1 months ago
User 1: I agree, option B is definitely the correct answer.
upvoted 0 times
...
...
Rosalyn
2 months ago
I agree with Emilio. Poor data quality can definitely lead to those consequences, affecting the overall success of the organization.
upvoted 0 times
...
Emilio
2 months ago
I think the potential consequences of poor data quality are revenue loss, poor customer service, and reputational damage.
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