The problem:
Most hotel groups aren't struggling because they lack data. They're struggling because they can't trust the data they already have. Inconsistent definitions, manual adjustments, and property-level variance make it nearly impossible to compare performance across a portfolio with confidence.
When every property measures things differently, decisions get made on assumptions rather than facts. A newly acquired property can't be accurately benchmarked. Same-store comparisons fall apart. And finance teams end up spending more time reconciling numbers than analyzing them.
Are management decisions at your organization being made from facts or adjustments?
About this session:
Most hotel groups aren't struggling because they lack data. They're struggling because they can't trust the data they already have.
Pull a chart of accounts from five properties in the same portfolio and you will find five variations on the same structure. Acquisitions get phased in differently depending on who built the report. Same-store growth comes back as 3.8 percent, 4.7 percent, 5.2 percent, or 6.1 percent depending on which team you ask. By the time leadership sees the numbers, the window to act has usually closed.
In this 60-minute session, Eugene Cheng walks through why portfolio reports drift as hotel groups grow, where the inconsistencies hide across PMS, POS, ERP and USALI mapping, and how AI can surface those gaps in seconds. Then the harder question. AI can diagnose the problem, but it cannot own the decisions about how to fix it. That is where governance comes in.
You will leave with the five questions every hotel executive should be asking about their reporting, a clear view of where AI helps and where it stops, and a framework for turning inconsistent property reports into one trusted portfolio view.
Built for hospitality finance leaders: CFOs, VPs of Finance, Corporate Controllers and FP&A Directors managing multi-property portfolios.
What you'll learn:
Why your properties are likely not being measured the same way and how to find out
How AI tracks consistency in data and same-store definitions across your portfolio
Why AI alone doesn't solve governance and where Vena fills the gap
What a single source of truth looks like in a live Vena environment
Speakers:
Eugene Cheng | Chief Customer Officer at MCC
Hosted :
Hosted by Monte Carlos Consulting · meetmcc.co
Agenda:
09:30
09:30
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09:30
09:30
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09:30
09:30
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Register:
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Location
Webinar
Online
Why Hotel Groups Can't Trust Their Property Performance Reports
Thursday, June 18, 2026 · 8:00 AM
(EST)
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