Revenue management has a data addiction problem aka why “more data” often makes worse decisions
The author argues that revenue managers often delay decisions by requesting excessive data analysis when simple indicators would suffice for effective pricing choices.
Revenue management has a data addiction problem aka why
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Revenue management has a data addiction problem.
When things feel unclear, the instinct is always the same: “Can we get more data?” More reports. More dashboards. More segments. More breakdowns. Because data feels safe. It feels objective. It feels like progress.
But here’s the uncomfortable truth:
More data often doesn’t create clarity. It creates delay.
At some point, data stops informing decisions and starts protecting people from making them.
I’ve seen it countless times: The answer is already visible, the direction is obvious ... BUT someone asks for “just one more cut”. Not because it will change the outcome. But because committing feels risky. Data becomes a shield.
The best revenue decisions rarely come from having all the data. They come from knowing which data actually matters.
Most markets don’t fail because of missing information. They fail because people:
- overweight short-term noise
- underweight long-term signals
- confuse precision with accuracy
You don’t need 47 demand indicators. You need 3 you trust and that count in that point in time ... and then have the courage to act on them. At some point, more data doesn’t reduce risk. It just delays accountability.
but here’s the nuance (because this is not a rant)
More data is not the enemy.
Bad questions are. There are situations where more data creates real clarity:
- When demand is mixed and you need to separate who is booking, not how much
- When behaviour changes and historical patterns no longer apply
- When you’re testing something new and need feedback loops, not confirmation
- When uncertainty is structural, not emotional
the only data question that matters
Before asking for more data, great revenue managers ask one thing:
“What would I do differently if this number moved?”
If the answer is:
- “Nothing” → stop
- “I’d still wait” → stop
- “I’d still discount” → stop
Then the data is irrelevant.
Data earns its place only when it changes a decision. .
Great revenue managers know when to stop analysing and start deciding.
You have so much data, it's unreal. Your value won’t be finding insights. It will be filtering them.
Because in revenue management, clarity isn’t about volume. It’s about judgment.
Love,
Fabi
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