The project dashboard is a free tool that is only available to verified hoteliers to make adopting new technology easier by streamlining their research and simplifying their communication workflow.
各产品在不同物业规模、类型和区域的 商业智能 供应商中的排名——基于各细分市场中酒店从业者的经验证评价。
按酒店规模
| 细分市场 |
|
|
|---|---|---|
| 小型(10-24 间客房) | — | #18 2 条评价 |
| 中型(25-74 间客房) ▾ | #10 20 条评价 | #26 2 条评价 |
| 大型(75-199 间客房) ▾ | #7 21 条评价 | — |
| 超大型(200+ 间客房) ▾ | #7 9 条评价 | — |
按物业类型
| 细分市场 |
|
|
|---|---|---|
| 精品酒店 ▾ | #10 20 条评价 | #27 1 条评价 |
| 豪华酒店 ▾ | #9 26 条评价 | — |
| 品牌/连锁酒店 ▾ | #8 26 条评价 | #27 1 条评价 |
| 长住酒店 | #10 4 条评价 | — |
按区域
| 细分市场 |
|
|
|---|---|---|
| 北美 | #15 1 条评价 | #16 1 条评价 |
| 欧洲 | — | #20 3 条评价 |
| 亚太 ▾ | #2 45 条评价 | — |
Choosing between Avalon Analytics by Avalon and Business Intelligence (by Dataria) hinges on your hotel’s specific needs and operational scope. Avalon offers extensive analytics tailored for multi-property management, while Dataria provides a more streamlined, AI-driven insight dashboard. Both serve the business intelligence category but cater to different hotel profiles and decision-making styles.
Avalon’s focus on comprehensive, customizable reports and broader regional presence makes it the preferred choice for larger, complex hotel portfolios. Conversely, Dataria’s simplicity and excellent customer support appeal to smaller operations or boutique hotels seeking quick, reliable insights.
Are you ready to dive deeper into how these tools compare across critical areas for your property’s success?
Avalon’s strength lies in its extensive data integration, detailed segmentation, and multi-property management capabilities. Its interface is highly rated (4.8/5), but some users note slower processing times and occasional data discrepancies, especially with larger portfolios.
Dataria, with a current review count of only four but a perfect 5/5 rating, emphasizes ease of use, personalized onboarding, and AI-driven insights. It’s designed for hotels that value quick decisions based on reliable, real-time data, especially in markets like North America and South America.
While Avalon’s recent reviews are nonexistent, its large review base and high ratings suggest a mature product. Does your hotel need the depth and customization Avalon offers, or would a lightweight, support-focused platform like Dataria better fit your operation?
If your hotel manages multiple properties or belongs to a large brand requiring complex, customizable analytics and integrations, Avalon is the clear choice. Its features include corporate and travel agency account tracking, and it supports 6 verified integration partners like RMS and Oracle Hospitality.
If your hotel is a boutique or city-center property seeking ease of use, rapid onboarding, and effective support, Dataria’s simpler platform with 3 verified integrations—including Mews—is more appropriate. Its automatic pricing system and personalized approach help smaller teams make data-driven decisions without the complexity Avalon entails.
In summary, Avalon best suits hotel groups looking for detailed, multi-property insights. Dataria is better for hotels prioritizing quick, reliable data with a personal touch.
Avalon’s user interface is rated 4.8/5, praised for its intuitive dashboards and straightforward navigation, making it accessible even for non-technical users. Its onboarding process scores 4.61/5, but some users mention that the speed of data processing can hinder workflow.
Dataria’s platform, rated 4.5/5 for ease of use, emphasizes a highly personalized onboarding experience with unhurried, attentive support. Despite its fewer reviews, users cite its straightforward design and the value of dedicated support, which accelerates adoption.
Edge: Avalon.
Avalon offers 21 shared features, including automated reporting, detailed segmentation, and real-time data visibility. Unique capabilities include corporate and travel agency account tracking, which are absent in Dataria.
Dataria boasts 9 features exclusive to it, such as profitability contribution by customer, version control, and an open API, facilitating deeper customization and integration. Its internal modules focus on metrics like business & marketing plans and driver-based models, supporting strategic planning.
Given Avalon’s broader feature set, especially for multi-property management, the edge goes to Avalon. However, if you prioritize specific advanced modules like version control or API access, Dataria’s more targeted features could be advantageous.
Avalon’s support scores 4.65/5, with reviews highlighting excellent, ongoing expert assistance and reliable responsiveness. Users appreciate the system’s support, even when facing technical challenges, but some note occasional delays during busy periods.
Dataria’s perfect 5/5 support rating is driven by its highly personalized onboarding and ongoing support, especially appreciated by boutique hotels and smaller teams. Reviewers emphasize the attentive, unhurried service and constant updates based on user feedback.
Edge: Dataria.
Avalon has verified integrations with six partners, including major systems like RMS, Oracle Hospitality, and Infor. Its open API and additional integrations support extensive data connectivity, vital for larger, complex hotels.
Dataria has three verified partners, with integrations primarily focused on PMS systems like Mews and Neobookings. While fewer, these partnerships are well-supported, and the platform’s open API allows customization.
Edge: Avalon.
Avalon’s 49 reviews, mostly within the last six months, give it a stellar rating of 4.94/5, especially praised by large hotels and resorts. Hoteliers in luxury and branded segments highlight Avalon’s comprehensive insights and operational support.
Dataria’s four reviews are all recent, with a perfect 5/5 rating. Boutique and city-center hotel owners value its personalized onboarding, flexibility, and support-driven approach.
Overall, Avalon’s higher review count and recent performance favor it. The larger hotel segment tends to rate Avalon higher, but boutique properties appreciate Dataria’s support and simplicity.
Both Avalon and Dataria are priced at a base of $300 per month, with no free tier, implementation fees, or additional charges. Their identical pricing simplifies comparison, but Avalon’s broader feature set might justify extra value for larger portfolios.
Not ideal if your hotel operates as a small boutique or prefers minimal tech complexity.
Not ideal if your hotel requires multi-property management, advanced integrations, or extensive custom modules.
Avalon is a robust, feature-rich BI platform suited for hotels or hotel groups managing several properties or complex portfolios. Its extensive integrations, detailed segmentation, and regional coverage make it ideal for large-scale operations demanding high customization.
Dataria, with a simplified, user-friendly interface and dedicated support, appeals to boutique hotels and smaller teams that prioritize speed, reliability, and personal service. Its AI-driven insights and excellent onboarding make it a strong contender for properties seeking straightforward, impactful data.
In conclusion, choose Avalon if your hotel needs deep, multi-property analytics and extensive integrations. Opt for Dataria if your success depends on quick decisions, personalized support, and a manageable, effective dashboard.
This comprehensive comparison should help your team make an informed choice aligned with your hotel’s size, operational complexity, and strategic needs.
酒店从业者喜爱的方面
Avalon 的可视化和仪表板质量一直受到好评。用户发现数据的可视化表示有助于快速识别趋势、异常值和战略见解,使数据一目了然。
Avalon 的系统允许高度可定制的报告,使用户能够创建满足特定需求的定制报告。这种灵活性对于多物业管理尤其有益,可适应独特的业务需求,从而减少手动工作量。
大多数评论都强调了 Avalon 的用户友好和直观界面,这使得非营收团队成员也能轻松导航。仪表板简单但功能强大,有助于更快、更有效地解读数据。
酒店从业者提出异议的方面
一些评论指出了数据准确性方面的问题,特别是数据差异和错误。这些问题有时会延迟会议并使决策过程复杂化,需要与 Avalon 的支持团队频繁互动以进行纠正。
排名更高的方面
独特功能
评分差异最大的方面
这取决于您的需求。Avalon Analytics 和 Business Intelligence (by Dataria) 共享许多核心 Business Intelligence 功能,但各有独特的能力。Avalon Analytics 提供 6 个经验证的集成合作伙伴,而 Business Intelligence (by Dataria) 提供 3 个。在切换之前,请查看上方的功能对比以了解它们的差异。
小型酒店应优先考虑易用性和快速入职。Avalon Analytics 在易用性方面领先,评分为 4.8/5 对比 4.7/5。寻找透明定价以及试用或演示选项。在各产品页面上按物业规模筛选评价,了解与您类似的酒店的反馈。
Avalon Analytics:否。Business Intelligence (by Dataria):否。 两款产品目前均不提供免费版。大多数 Business Intelligence 供应商提供演示或试用——在做出承诺之前,请分别向各供应商申请体验。
HT Score 是一个综合排名,考虑 4 个标准组和十多个变量,帮助酒店从业者客观比较酒店科技产品。Avalon 的 HT Score 为 21,Dataria 的为 0。以下是评分的计算方式。
| 标准组 | 权重 | 衡量内容 |
|---|---|---|
| 客户评分与评价 |
|
用户对该产品的推荐度如何? 评分分数、评价数量、声量份额、评价深度、评价时效性、成功案例 ▾ 权重最高的因素。分析平均满意度评分(推荐可能性、易用性、支持、投资回报率)、相对于同类产品的评价总数、评价时效性(最近 6 个月内至少 20 条评价)以及跨独立酒店客户的声量份额以检测选择偏差。 |
| 合作伙伴生态系统 |
|
技术合作伙伴对该公司的推荐度如何? 合作伙伴推荐、集成数量、集成质量 ▾ 评估合作伙伴推荐作为专家信心投票、经验证集成的数量以及生态系统质量——集成合作伙伴的平均 HT Score。拥有更高质量集成生态系统的产品更有可能提供互联互通的技术栈。 |
| 以客户为中心 |
|
该组织以客户为中心的程度如何? 认证支持、评价一致性、资料完整性 ▾ 评估公司是否获得 HTR 客户支持认证、是否保持持续的评价收集(反馈驱动文化的指标)以及产品资料是否完整,包括功能、截图、定价和特性。 |
| 覆盖范围、持久力与资源 |
|
该公司的覆盖范围和资源有多广泛? 地理覆盖、持久力、公司资源、趋势评分 ▾ 衡量全球覆盖(服务的国家和区域)、经营年限作为稳定性指标、团队规模作为资源指标,以及基于近十二个月买家咨询、评价、合作伙伴推荐和媒体活动的趋势评分。 |
客户评分和评价是 HT Score 算法中最重要的因素。HTR 不接受付费以提高排名。所有评价均经过验证——只有经确认从属关系的酒店行业从业者才能提交评分。 查看完整 HT Score 评估方法 →
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