Chateau de Montana: Applying Data Analytics to Simulate Room Price of a Repositioned Hotel

Prashant Das
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Abstract

Nicolas Dupont, the owner of Chateau de Montana, a struggling (and old) boutique hotel in Crans-Montana Ski Resort, Switzerland, wished to renovate and reposition his family-owned hotel to target higher room rates. Dupont commissioned Olga Mitireva and Yulia Belopilskaya as consultants to assess the proposition. The consultants had to extract cues for the room rate of the repositioned hotel from comparable hotels. However, the room rates varied significantly across similar hotels due to their differing characteristics and locations. It was a cognitive challenge to read the patterns from a few comparable hotels. They collected the data of 200 hotels from similar locations and simulated room prices using hedonic regression models.
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蒙大拿城堡应用数据分析模拟重新定位酒店的客房价格
蒙大拿城堡酒店(Chateau de Montana)是瑞士克兰斯-蒙大拿滑雪场(Crans-Montana Ski Resort)一家经营困难的(而且老旧的)精品酒店,其老板尼古拉斯·杜邦(Nicolas Dupont)希望对其家族所有的酒店进行翻新和重新定位,以瞄准更高的房价。杜邦委托Olga Mitireva和Yulia Belopilskaya作为顾问来评估这一提议。顾问们不得不从同类酒店中提取重新定位的酒店的房价线索。然而,由于酒店的特点和位置不同,类似酒店的房价差异很大。从几个类似的酒店中读出模式是一个认知上的挑战。他们收集了来自相似地点的200家酒店的数据,并使用享乐回归模型模拟了房价。
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