Final answer:
The correct answer is option a. True. Analytics systems often refrain from combining operational data with data from other sources before storing them in a repository to avoid data integrity issues and ensure accurate analysis.
Step-by-step explanation:
The correct answer is option a. True. Analytics systems often refrain from combining operational data with data from other sources before storing them in a repository. This is because combining different types of data from various sources can lead to data integrity issues and make it difficult to analyze the data effectively.
When operational data and data from external sources are combined, it can result in inconsistencies and inaccuracies. For example, if a company merges two different datasets with conflicting customer information, it can lead to duplicated or incorrect data, making it challenging to extract meaningful insights.
To avoid these issues, analytics systems typically follow a standard process of storing operational data in a repository before integrating it with other data sources. Once the data is in a centralized repository, it can be cleansed, standardized, and validated to ensure its accuracy and consistency.