DataMerging is suited for the larger operation or where the data entry points are removed from each other (maybe a couple of farms or stations with managers) and multiple data entry points are required on the one dataset. This option allows you to have a network of computers all entering data into the one dataset without any physical network connections.

You can find some detailed instructions on how the system works HERE.

The Data Merging process in PAM QA Plus includes all of your cropping and financial data, your livestock data can be distributed to other machines using the Data Merging facility, however, livestock data is not included in merging operation back to the 'Master' from the 'Remote(s)'. You can distribute your mapping data via the use of the backup and restore system in PAM QA Plus.

Example 1: A family business has two farms separated from each other but would like to be able to keep the data from each of those farms in the one dataset, allowing comparative analysis. Using the data merging features of PAM, a number of PAM installations can be entering data on separate machines. One of the installations is nominated as the 'Master' computer and the other(s) as the 'Remote(s)'. The data is logged out to the 'Remote(s)' from the 'Master', and data entry can take place at all machines. At given intervals... the data is logged back to the 'Master' from the 'Remote(s) where the Data Merging actually takes place, then you have all data entered on all machines sitting on the one computer. After refreshing the 'Remote(s)' from the 'Master', the cycle continues.

Example 2: An owner has several farms and appointed managers for each of these farms... the owner can set up configuration lists on his computer. This dataset can be logged out to each and every one of the managers (Data merging site license users). All parties can then go about their data entry. At given intervals... all of the managers logout their data from their computers and send them to the owner. The owner then logs in each and every one of the datasets from the managers, and the data is merged into the one dataset on the owners' machine. Comparative analysis can then be carried out (via PAM's many reports) on all of the farms as they are then on the one dataset. The owner then refreshes the managers' computers with the updated datasets and the cycle continues. One thing to note is the fact that you are able to comparatively analyse the farms as they are on the one dataset.

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