| 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             By the time the project is completed, data might have gone out of date  | 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 |