‪User group : CFO / Real Estate manager / analyst

‪Goal: Simulate potential m² reductions and savings based on the real usage or need of your organization.

‪Focus on: Potential max reductions and savings per building and simulation of realistic reduction and savings through vacancy analysis.

‪This dashboard comes with several graphs but gives in depth information about how the different spaces are being occupied and utilized. These graphs also will give you insight in potential future space improvements.

As soon as location filtering is set to floor level, floor plan will show up.

If Workplace is receiving data that is relevant for this dashboard, the location will be colored. The darker the color, the more this locations is occupied. For the selected period, brighter colored locations are less occupied than darker colored locations.

• Helps to estimate potential m2 reductions: m2 reductions could also mean transforming certain less used space types in other space type with more added value

• Helps estimate potential cost savings: Cost savings needs to be seen as a real saving if sub renting is possible, if the Real Estate contract can be renegotiated or if the customers is planning to move to a new location

The outputs of the opportunity simulator need to be validated together with many variables of the customers real estate strategy like: Flex workspace or fixed, clean desk or not, personal offices or shared offices, offices as meeting rooms, booking systems, flexibility rental agreement, move or stay possibilities, …

The opportunity simulator is a simulation toolkit for the space manager/expert and does not replace the knowledge of a space manager/expert

‪Calculation of the maximum possible m2 reductions / cost savings in case of average occupancy has been taken into account.  This means that every day of the week and every hour of the day the company would have the same occupancy scores.  This is only possible if the company would only work with 100% reservable work-, concentration- and collaboration spaces.

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‪Calculation of ‘no risk’ m2 reduction (vacancy)/ cost savings in case of max occupancy has been taken into account.  This means that everybody will still at all times have the needed work and collaboration space available when needed.

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‪Simulation of potential of m2 reduction (vacancy)/ cost savings in case of x% of the max occupancy has been taken into account.  This means that in some moments there will be an under capacity of work or collaboration spaces if the same work pattern would be used.  By moving some peak moments into moments of less occupancy these moments of under capacity can be solved for 100% meaning that everybody will at all times have the needed work and collaboration space available when needed.

Vacancy concept is highlighted in yellow

Remark: When “% workplaces available” = 100%, this is a so called ‘no risk’ vacancy

Simulation with 100% workplaces available – ’no risk’ vacancy

Simulation with 90% workplaces available – ’10% risk’ vacancy

• Vacancy concept is highlighted in yellow

• Max concept is highlighted in red

• Simulation sliders are highlighted in blue

Max work and concentration spaces that could be reduced
Optimal sizes of the collaboration spaces (only when utilization is measured) Remark: The number of collaboration spaces for the max concept is taken from the vacancy simulation