PHA Data Analytics and Reporting
Your PHA has the data. Getting a straight answer out of it is another matter.
The Problem
Most public housing authorities (PHAs) do not lack data. They lack clean data in one place. The numbers live in Elite, IMS/PIC, EIV, eVMS, and spreadsheets on shared drives. There is usually also an export someone pulled six months ago and never documented. By the time leadership asks a simple question, staff are reconciling three reports that disagree with one another.
This creates familiar problems. Utilization looks wrong. PIC errors pile up without a pattern anyone can explain. Board reports take too long to build and still trigger follow-up questions. Staff know the systems contain the answer somewhere. Getting it out is the hard part.
A dashboard does not help if no one can explain why leased-up households are dropping, why SEMAP performance slipped, or why eVMS counts do not match what staff think happened in the month. The point is a number you can defend.
Is This You?
You may need analytics and reporting support if:
- Your data is spread across Elite, PIC, EIV, eVMS, and spreadsheets nobody fully trusts
- Leadership needs recurring reports for the board, HUD, or internal management and staff are building them by hand
- PIC errors, utilization shifts, or leasing problems are showing up, but nobody can trace the cause
- You need data out of a system that was never built to make that easy
- You want analysis tied to operations, not a generic dashboard full of numbers without context
What We Do
We extract data from the systems your PHA already uses, clean it, reconcile it, and organize it into reporting that answers management questions. Sometimes that means a one-time analysis. Sometimes it means recurring reports your staff can use month after month without rebuilding them from scratch.
We also find out why the numbers do not agree. Wrong action codes in PIC. Incomplete records in Elite. Spreadsheet logic that drifted over time. Reports built on fields nobody has validated in years. We trace discrepancies back to their source so the analysis reflects operations.
Our work ranges from targeted extractions to broader performance analysis, including utilization, leasing trends, SEMAP indicators, payment standards, waitlist activity, and reporting tied to corrective action or board oversight.
What You Get
- Data extraction and cleanup: pulling usable data from PHA systems and untangling obvious inconsistencies
- Custom reporting: recurring or one-time reports built for leadership, the board, HUD response, or internal management
- Root-cause analysis: investigation of data anomalies, PIC rejections, utilization swings, and other reporting problems
We can also provide:
- Dashboard development. Visual reporting for agencies that need a clearer view of performance over time.
- PIC and compliance analysis. Reporting tied to rejected 50058s, submission trends, and cleanup priorities.
- Decision support. Analysis for payment standards, leasing strategy, staffing pressure points, and related operational questions.
Tools and Systems
We work with the systems PHAs actually use: Elite and other housing software platforms, IMS/PIC, EIV, eVMS, standard HUD reporting outputs, and the spreadsheets staff built to fill the gaps. None of that is unusual. We work with what is there and get reliable information out of it.
Why ProjectLogic
We do not just pull data. We know what the fields mean in PHA operations, what HUD is likely to care about, and which discrepancies are clerical noise versus signs of a larger operational problem. That is the difference between a report and an analysis.