Dashboard
Portfolio performance dashboard
NOI, occupancy, leasing, valuation inputs, and cash flow.
- Connected to property management, leasing CRM, accounting, and maintenance systems
- Thresholds and owners
- Drill to operational detail
Industry analytics
Asset managers lose trust when property management occupancy, leasing CRM pipelines, and GL NOI disagree on PropertyId/period. Power BI joins those systems so NOI and vacancy use one asset calendar before the IC pack.
Typical friction when CRM, ERP, and operational tools are reported separately.
What changes when those systems feed a governed Power BI model.
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Commercial considerations
Real Estate organizations already manage the business in property management, leasing CRM, accounting, and maintenance systems. The reporting problem is usually not “we need another chart”—it is that CRM, ERP, and operational extracts disagree on timing, filters, and owners before every meeting.
Asset managers track NOI in property software while leasing lives in CRM—expiry risk is spotted too late. Power BI for Real Estate only works when those systems of record feed one governed semantic model with documented KPI definitions.
Power BI Analytics scopes the first release around the real estate decisions that currently wait on manual packs—then connects the right source systems, validates totals, and lands the report in a real operating cadence.
Built for leaders who need dependable numbers in real operating conversations—not another unused dashboard.
We establish a baseline before delivery so ROI is discussed in operating terms, not slideware.
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Measure hours currently spent assembling real estate reporting packs, reconciling totals, and answering “which number is correct?”
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Track how many days earlier leaders can see exceptions, variances, or forecast risk after the release.
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Count disputed metrics, failed refreshes, and unmanaged workbooks replaced by governed models.
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Confirm the intended audience actually uses the report in the meeting or process it was designed for.
Asset managers track NOI in property software while leasing lives in CRM—expiry risk is spotted too late. Power BI consulting connects these systems of record into one governed reporting model.
rent roll, occupancy, NOI
pipeline, tours, lease stages
cash, budgets, valuations inputs
response time, vendor cost
expiry and options
Leased space as a share of rentable area.
Income after direct property operating expenses.
Revenue at risk by expiry horizon.
Speed of resolution for service requests.
Recommended dashboards
Power BI for Real Estate patterns we tailor to your systems, owners, and review cadence. Click any preview to expand.
Dashboard
NOI, occupancy, leasing, valuation inputs, and cash flow.
Dashboard
Work orders, vendor cost, tenant service, and compliance.
Reporting only creates value when it lands in a real review rhythm.
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Buyer questions answered
Connect the systems you already use and leave with a clear place to report—before another orphan dashboard appears.
Build 1–2 live dashboard pages that pull from multiple sources—not a screenshot of Excel pasted into Power BI.
Retire the Monday email of pasted workbooks: scheduled refresh and one pack finance can open without stitching tabs.
Data Warehouse Design starts by killing contradictory extracts—then publishes measures that data leaders, IT managers, and executives can defend from multiple operational systems and historical data.
Job cost, WIP, and schedule risk from Procore and ERP—one project grain: connect project controls, job-cost accounting, estimating, payroll, and procurement so leaders manage project margin, schedule, risk, and resource use.
RevPAR, occupancy, and F&B margin from PMS + POS—by property night: connect PMS, POS, booking channels, labor systems, and finance/CRM so leaders manage occupancy, guest experience, labor, and profitability.
Flash P&L and cash from GL + AR/AP—definitions finance will sign: connect GL/ERP, FP&A planning, AP/AR, payroll, and operational systems so leaders manage profitability, cash, forecast accuracy, and controls.
Talk through priorities, data sources, and a practical first Power BI release.