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Question 33 - Certified AI Associate discussion

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

A.
Low employee morale, stock devaluation, and inability to attract top talent
Answers
A.
Low employee morale, stock devaluation, and inability to attract top talent
B.
Revenue loss, poor customer service, and reputational damage
Answers
B.
Revenue loss, poor customer service, and reputational damage
C.
Technical debt, monolithic system architecture, and slow ETL throughput
Answers
C.
Technical debt, monolithic system architecture, and slow ETL throughput
Suggested answer: B

Explanation:

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.

asked 23/09/2024
Thuy Nguyen
32 questions
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