Which is a possible disadvantage of using secondary data when you have specific needs?

Which is a possible disadvantage of using secondary data when you have specific needs?

• A. It might be more information than you need.
• B. Always exactly matched to your needs.
• C. Never irrelevant data.
• D. No data quality issues.

Answer: (A)

When you use secondary data, you’re pulling information that was collected for other purposes, which can be useful but also has a downside if you have specific needs. The main issue is that the data may include far more information than you actually require. It’s likely to cover broader topics, different time periods, and use varying definitions, so you have to sift through a lot to find what matters. That extra information can complicate analysis and may still not line up perfectly with your exact requirements. This is why the option describing excess information is the best fit. While secondary data can have mismatches, irrelevant pieces, or quality issues, the most immediate and common disadvantage when precision is needed is having more data than you need.

When you use secondary data, you’re pulling information that was collected for other purposes, which can be useful but also has a downside if you have specific needs. The main issue is that the data may include far more information than you actually require. It’s likely to cover broader topics, different time periods, and use varying definitions, so you have to sift through a lot to find what matters. That extra information can complicate analysis and may still not line up perfectly with your exact requirements. This is why the option describing excess information is the best fit. While secondary data can have mismatches, irrelevant pieces, or quality issues, the most immediate and common disadvantage when precision is needed is having more data than you need.