planning

Volume/usage/consumption explained

Example used is kWh from GoGreen. This shows the quantity of each resource we expect to use.  The values come from the Live Forecast when this plan was first created.  It’s fair to say that the values may differ in Live Forecast today, that’s why best practise is to...

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Save changes button explained

Save changes button explained

The ‘Save changes’ button ensures the changes made to the plan are saved for furture edits. At this stage, the values only exist in this view. To make the plan values (cost of energy and estimated unit prices) available elsewhere, they need to be submitted by clicking...

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Plan values explained

Plan values explained

Example used is Energy. This first section in the data table is the plan (budget) numbers in the currency shown in the header. It displays in thousands (K) and in the local currency.These values cannot be edited directly. They reflect values in the next sections based...

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Main chart explained

Main chart explained

Example used is Towels & linen Use this chart to see at a glance the general shape of your plan (blue bars) against the comparative period (gray) as pre-set and the level of guest nights planned (purple line). This enables you to see if the cost level decreases...

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Formula/Calculations explained

Formula/Calculations explained

The diagram below shows the correlation between the formula elements which calculates the unit price to get the plan value you expect.In the diagram here below the forecast comes from kg from GoGreen multiplied by price per kg. Always ensure you are in the...

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Comparative data explained

Comparative data explained

What is comparative data?  It is a set of data that you compare your draft plan against.  The dataset shown under comparative data is also used to calculate other elements of your new plan.  Look for … ‘based on comparative data’… in a section header like...

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Staffing screen overview

Staffing screen overview

What is its purpose?  The planning staff module enables you to review and adjust staffing to meet demand (SMART forecast) all in one screen. The goal is to reduce manual workload and make forecasting less error-prone. You can import scheduled hours and base salaries...

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