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Prepared for Edwin
September 2026 · AppFolio → Power BI

Boardwalk Performance & Occupancy Board — 3 Front Range markets, one live view

The Occupancy Report and the "Boardwalk Performance" workbook rebuilt as one Power BI model, fed nightly from AppFolio and sliced by market → owner → property. Minimizing vacancy loss, maximizing rents, reducing expenses — measured, not emailed.

Front Range unit map Signature view

Every unit under management as one cell, grouped by property along the I-25 spine — Denver south to Pueblo. Hover a block for the property.

OccupiedOn noticeVacant · readyVacant · make-ready
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What this board answers

The three questions from the October–January thread, answered from the current filter.

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    Physical vs economic occupancy — 12 months

    Physical = units occupied or on notice ÷ total. Economic = rent collected ÷ gross scheduled rent. The gap is vacancy loss plus delinquency.

    PhysicalEconomic
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    Vacancy loss by property

    Vacancy loss $ as a share of scheduled rent for the period. Sandstone = above the 5% watch line.

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    Rent collected vs scheduled

    Delinquency ageing of open resident balances at period end.

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    Work orders & maintenance

    Open vs closed, average days to complete, spend per unit — at Boardwalk's 0% markup.

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    Lease expirations — next 90 days

    Expiring leases by month, and how the last period's expirations resolved.

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    Owner statement view

    The same measures rolled up per owner — the slice each owner sees in their portal report.

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    AppFolio → Power BI refresh

    No re-keying. The Occupancy Report and Performance workbook become tables in one model, refreshed on a schedule.

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    Ask the data Mock · AI layer

    A natural-language question over the same model. Answer generated from the numbers on this board.

    Which Colorado Springs properties have vacancy loss above 5% this month?
    Source: Vacancy loss by property (4)Filter: Colorado Springs · This monthModel refreshed 04:30 MT
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    Private AI on your own server

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