| Advantages:- | Disadvantages:- |
|---|---|
| Collected data will be relevant to the purpose. |
It can be expensive to collect since companies might have to be hired to collect them |
| Original source is verified. | Will take a long time to collect |
| Data can be sold for other purposes | Taking large data samples is difficult |
| Data will be Up to date | May involve having to purchase printers, loggers, computers etc |
| It can be presented in the required format |
By the time the project is completed, data might have gone out of date |
| It is likely to be unbiased |
| Advantages:- | Disadvantages:- |
|---|---|
| Data is immediately available, and large samples for statistical analysis are more likely to be available |
Original source is not verified |
| Quick | Data may not be up to date. |
| Cheap | Data is likely to be biased due to unverified sources |
| Sorting and filtering might be required to get rid of additional or irrelevant data. |

*Requirements for a public key
| Advantages:- | Disadvantages:- |
|---|---|
| Single process which requires minimal human participation | Delay as data is not processed until a specific time |
| Can be scheduled to occur when there is little demand for computer resources |
Errors cannot be identified and corrected until the data is processed |
| Reduces chance for human error | |
| Fewer repetitive tasks for operator |