The Contract Trendscape window gives a financial overview of the service contract using the data from its service ledger entries. This overview is generated for a specific time period that you set in the Period field.

To use the trendscape, from the Service Contracts window, select a service contract. On the Navigate tab, in the Contract group, point to Statistics, and then choose Trendscape.

When you scroll up and down, the amounts (in LCY) are calculated according to the time interval you have set in the Contract Trendscape window.

You can specify which service contract is included in the trendscape by setting a filter in the Contract No. field on the General FastTab.

The Period Start and Period Name fields contain a series of dates that are determined by the time interval you have selected. You can change the time interval in the View by field.

The following table describes the other fields on the Lines FastTab.

Field Description

Prepaid Income

The total income (in LCY) that has been posted to the prepaid account for the service contract in the periods specified in the Period Start field.

Posted Income

The total income (in LCY) that has been posted to the general ledger for the service contract in the periods specified in the Period Start field.

Posted Cost

The cost of the service contract based on its service usage in the periods specified in the Period Start field.

Discount Amount

The amount of discount (in LCY) that applies to the service contract in the periods specified in the Period Start field.

Profit

The profit (posted income minus posted cost in LCY) for the service contract in the periods specified in the Period Start field.

Profit %

The profit percentage for the service contract in the periods specified in the Period Start field.

All amounts are calculated from service ledger entries, that is, entries that are created when you post service orders or service invoices related to the service contracts.

Note
If you have set the time interval to Day and you want to scroll over a long period, you can do it faster by shifting to a larger interval such as Quarter. When you have found the desired period, you can shift back to the original interval to see the data in more detail.