Still provable. Years later.
Every change, every date, every unit.
Your Q2 number mattered to your board, your LPs, your auditor. Today’s warehouse shows a different number for Q2 — not because anyone lied, because nightly syncs overwrote the past. Historical Tracking remembers what was actually true.
Unit 4B rent on Jun 14 · $1,920
reported to board in Q2 close
Unit 4B · updated to $1,895
nightly sync overwrote Jun 14 value
Unit 4B · updated to $2,050
nightly sync overwrote again
LP asks: “What was Jun 14 rent?”
your warehouse answers $2,050 — wrong
Unit 4B on Jun 14, 2025 · $1,920
every change since, logged · every past date, retrievable
You told the board 94% occupancy in Q2.
By November, your dashboard shows a different number for Q2. Not because anyone lied. Because somebody backed out a lease, a unit transferred mid-quarter, a correction flowed in three weeks late. Your warehouse doesn’t store what was true in Q2. It stores what’s true right now, backdated over what used to be there.
Until now, nobody had built proper point-in-time tracking for multifamily. Most operators export monthly snapshots to a spreadsheet and pray they survive the year. Some give up and accept that “true” means “true as of the most recent sync.”
Historical Tracking remembers every change. Every unit, every lease, every resident, every work order, every date. What you reported in Q2 is still what you reported in Q2, three quarters later.
What you get on day one. What compounds after.
Your Q2 number, still your Q2 number
You told the board 94% in Q2. Your dashboard says 91% today — corrections flowed in. Historical Tracking still returns 94% for Q2, with every change since logged.
Audits end in one question, not a week of spreadsheets
Regulators and auditors ask about specific dates — rent, residents, leases, work orders. Your team stops running monthly CSV exports. One query. Real answers.
Honest backtests of your pricing decisions
You raised rates in March. Did it work? Today you can’t tell — every number to compare against got overwritten. Historical Tracking shows what the algorithm actually saw on March 14.
Train AI on what was actually known
Churn predictions. Pricing optimization. Renewal forecasting. Every AI tool needs “what did we know on this date.” Yours trains on history that was actually history, not today’s data backdated over what used to be there.