Your data is lying to you.
Not because your dashboards are broken.
Because your KPI definitions, source data, and business rules were never governed.
RUNBIRD audits KPI definitions, source data, and reporting logic underneath your BI stack so your operators and leadership can trust the numbers before they scale them.
30-minute call with Manoah Williams. We review the reporting problem, current stack, and fit. Typical buyers: COOs, Heads of Asset Management, CFOs.
Your dashboard is live, but leadership does not trust the numbers
Finance and Operations report different answers for the same KPI
You are about to invest in BI and want the foundation fixed first
You need to know whether the issue is data, definitions, architecture, or all three
Most BI projects don't fail because of the tool.
They fail because the foundation was never defined.
The platform is not the problem. The layer underneath it is.
Identity Conflicts
The same unit exists under multiple IDs across systems. Reporting becomes inconsistent by design.
Undefined KPIs
KPIs are not formally defined. Each team calculates them differently. Both are displayed as equally official — without a flag.
Dirty Source Data
Source data is incomplete, inconsistent, or manually patched. Bad data loaded into a clean warehouse becomes the official version of wrong.
No Action Framework
Metrics exist, but no thresholds or triggers define what happens next. Data is observed. Never operationalized.
We operate below
the dashboard layer.
RUNBIRD does not replace your systems. We do not sell another platform.
We diagnose what is broken in your data, define how it should behave, and build the governed structure required for reporting to become trusted and usable.
The result is a data layer your leadership can actually act on.
- Standardize entity identity across systems — units, residents, floor plans
- Define KPI logic with documented business rules and ownership
- Audit source data integrity and surface failure points before ingestion
- Design reporting models that align Finance and Operations on shared definitions
- Embed thresholds and triggers so metrics drive action, not just visibility
| KPI | Definition | Inclusion Rule | Source | Owner |
|---|---|---|---|---|
| Occupied Units | Units with signed lease and possession transferred | Excludes NTV, model, down, admin units | PMS Lease Status | Operations |
| Occupancy Rate | Occupied Units / Total Leasable Units | Stabilized unit count; excludes offline units | Derived | Finance |
| Net Effective Rent | Gross rent minus amortized concessions over lease term | Excludes one-time credits; includes recurring discounts | Lease Detail | Asset Mgmt |
| Vacancy Exposure Days | Days unit vacant without a signed lease in progress | Excludes units in active application or renewal | PMS Move-Out Log | Operations |
Illustrative structure. Not a client deliverable.
Unit ID, Status, MoveIn
Canonical Unit ID
Occupied logic
Gross Rent, Concession
Concession / Term
3 ID formats detected
Fuzzy match required
Illustrative structure. Not a client deliverable.
Illustrative format. Not a client deliverable.
Start with the diagnostic.
Fix the foundation first.
Most operators begin with the Governance and Readiness Assessment. Every engagement starts below the dashboard layer with fixed scope, defined inputs, and defined outputs.
Governance and Readiness Assessment
Fixed-scope diagnostic to evaluate data integrity, KPI definitions, and reporting structure. We diagnose what is broken underneath and deliver a clear, actionable path to trusted reporting.
Five areas of diagnostic work. Delivered as owned artifacts.
- 01KPI definition review across Finance, Operations, and Asset Management — identifying every metric in active use, how each is calculated, and where definitions conflict
- 02Source data audit across core reporting fields — entity identity, unit status, lease data, concession logic, and revenue fields flagged for integrity failures
- 03Entity mapping review for units, residents, and floor plans — identifying fragmentation across system identifiers and documenting canonical resolution logic
- 04Snapshot and as-of reporting design review — evaluating whether current architecture supports point-in-time comparison and recommending the correct structure before data loads
- 05Executive findings memo with priority actions, risk ratings, and next-step architecture — structured for leadership consumption, not just data team review
Single-Asset Forensic Snapshot
Send your rent roll. We surface entity fragmentation, hidden exposure, and revenue leakage with a plain-English action list in under 10 days.
Portfolio Pricing and Vacancy Exposure Support
Weekly pricing and vacancy-exposure review, governed dashboard tracking, and two strategy sessions per month. Portfolio-level coverage for operators who need recurring pricing discipline.
Acquisition and Due Diligence
Forensic audit, red flag identification, and underwriting stress test before the deal becomes yours.
Not ready for the full assessment? Ask about starting with a Single-Asset Forensic Snapshot.
Built for operators who are tired of
arguing over which number is real.
If your teams are still debating which number is correct, your reporting layer is not governed. Fix that before you build anything else.
Representative example based on common multifamily reporting failures. Not a client case study.
A community sends a rent roll that looks clean. Standard reports show 94% occupancy and normal exposure. The forensic review finds something different.
- 10 to 15 percent of units mapped to conflicting identities across systems
- 3 competing definitions of occupancy in use across Finance and Operations
- Six-figure annual NOI drag from misclassified vacancy and pricing gaps
- No standardized threshold for vacancy exposure or lease velocity
RUNBIRD is led by Manoah Williams, an analytics and pricing leader who has built reporting, pricing, and operational intelligence systems inside active multifamily operations.
- Pricing, occupancy, concession, and exposure reporting across active operations
- Reconciliation across Finance, Operations, and Asset Management
- Designing reporting logic where historical truth did not exist
- Identifying rent roll and source-data issues impacting executive decisions
Confidentiality is standard. RUNBIRD regularly reviews sensitive rent rolls, portfolio exports, GL extracts, and operating reports. An NDA is available on request before any data is shared.
What buyers typically ask.
Quick answers before the call.
How RUNBIRD works.
Audit your data, definitions, and reporting structure. Surface what is broken before anything gets built.
Establish governed KPI logic, entity rules, and ownership. Lock definitions before the build starts.
Implement a structured, reliable reporting layer. Architecture, models, dashboards, and alert logic.
Adoption through thresholds, alerts, and usage. Everything delivered belongs to your organization.
To run a diagnostic, we typically need four things.
- Current reporting sample or dashboard export
- Source system exports or schema view
- KPI definitions if they exist in any form
- One stakeholder from Operations
- One stakeholder from Finance or Asset Management
- 30 minutes for the initial diagnostic call
Start with the diagnostic
before you build
anything else.
Fixed-scope governance and reporting diagnostic for real estate operators. Not software. Not a platform migration.
If you are about to invest in a BI platform, six months into one that is not landing, or running on dashboards nobody trusts, this is the conversation that changes the outcome.
RUNBIRD regularly reviews sensitive rent rolls, portfolio exports, and operating reports. Confidentiality is standard. An NDA is available on request before any data is shared.
Manoah will be in touch within one business day.