Final answer:
Operational data can pose problems for BI systems, including data inconsistency, lack of real-time updates, and difficulty in data integration.
Step-by-step explanation:
Operational data can pose several problems for BI (Business Intelligence) systems, including data inconsistency, lack of real-time updates, and difficulty in data integration.
Data inconsistency: Operational data may come from various sources and may not be standardized, leading to inconsistencies in terms of format, structure, and accuracy. This inconsistency can make it challenging to analyze and interpret the data accurately.
Lack of real-time updates: Operational data is often generated in real-time or near real-time, but BI systems may not be able to process and update the information in real-time. This delay in updates can affect the timeliness and relevance of the insights derived from the data.
Difficulty in data integration: Operational data is typically stored in separate systems or databases, making it complex to integrate and consolidate the data for analysis. BI systems need to ensure data from different sources aligns properly, which can require significant effort and resources.
In conclusion, the correct answer is d. All of the above.