Hotel Digital Operations Training Platform

The essence of digital operations lies in data-driven decision-making. The Wentu Hotel Digital Operations Training Platform seamlessly integrates real operational data from hotel Property Management Systems (PMS), Food & Beverage services, room management, and energy consumption monitoring with practical training tasks. This platform is designed to cultivate students' data analysis skills and business acumen. It features a visual central platform that combines data display and analysis, along with a variety of data analysis tasks across different business functions. Within this visual central platform, students can intuitively view and analyze data from various typical hotel operations. The data is processed using big data technologies, involving the collection, cleaning, analysis, and in-depth mining of hotel operational data, resulting in easily understandable data reports. The platform's data undergoes rigorous anonymization to ensure information security while facilitating its use for educational purposes. Specific data analysis tasks require students to analyze data based on the specific requirements of the training. These tasks include, but are not limited to, analyzing room reservations, PMS data, F&B Point of Sale (POS) system data, energy consumption data, as well as room consumables and cleaning service data. By completing these training tasks, students will gain a deep understanding of data processing and analysis methodologies, develop a digital operations mindset, and establish a solid foundation for their future careers as digital operations professionals in the hotel industry.

Core Functions

Room Operations Analysis:

  • Multi-dimensional Analysis: Comprehensive evaluation of room operations from various indicators, including room revenue, occupancy rate, average daily rate (ADR), revenue per available room (RevPAR), and average length of stay (ALOS), combined with data from different channels.
  • Visual Presentation: Intuitive display of room operations data through charts, reports, and other formats, facilitating quick identification of trends and anomalies.
F&B Operations Analysis:
  • Revenue & Menu Item Analysis: In-depth analysis of restaurant revenue composition, including sales of menu items, payment channels, and item prices, to identify popular dishes and potential areas for improvement.
  • Consumption Habit Analysis: Analysis of average customer spending, differences in consumption patterns between breakfast, lunch, and dinner, etc., to understand customer habits and inform marketing strategies.
  • Energy Consumption Monitoring & Analysis:
  • Comprehensive Energy Monitoring: Real-time monitoring of various energy consumption in the hotel, including electricity, water, and gas, with breakdowns by different time periods.
  • Multi-dimensional Display: Visualization of energy consumption data through charts, graphs, and other formats, enabling easy identification of anomalies and optimization of energy management.

Room Consumables Analysis:

  • Refined Management: Analysis of room consumables usage, including both per-room consumables and guest supplies, to provide data support for procurement and inventory management.
  • Customer Profile Analysis:
  • Multi-dimensional Profiling: Construction of customer profiles from various dimensions such as gender, age, and origin, to gain a deeper understanding of customer demographics.
  • Visual Presentation: Intuitive display of customer profiles through charts and other formats, providing insights for marketing and service optimization.

Hotel Service Demand Analysis:

  • OTA Data Analysis: Analysis of customer data from Online Travel Agencies (OTAs) to understand customer reviews and feedback, and identify areas for service improvement.
  • High-Frequency Keyword Analysis: Extraction of high-frequency keywords from customer reviews, generating word clouds and ranking data to visualize customer concerns.

Application Principles

The establishment of hotel digital operations is based on data operation as the core capability. The capabilities of digital operations can be divided into four aspects: "Having Data," "Viewing Data," "Analyzing Data," and "Utilizing Data."

  1. Having Data Digital operations first require building the capability of "Having Data." Hotels need to combine their strategic planning and business needs with specific business scenarios, transforming business problems into quantifiable data, and then planning, analyzing, and constructing a business data indicator system.
  2. Viewing Data Digital operations require building the capability of "Viewing Data." On one hand, hotels need to establish visual dashboards for data indicator systems. These dashboards can be categorized into hotel-wide business perspectives and department-specific perspectives, displaying relevant indicator data for each business line. On the other hand, hotels need to cultivate the ability for all business-related personnel to understand and interpret data, as well as express data visually.
  3. Analyzing Data Digital operations require building the capability of "Analyzing Data." Hotels need to establish a data-driven methodology for business growth. In daily operations, hotels should be able to identify and address business problems based on data analysis and insights, and formulate business strategies through data analysis.
  4. Utilizing Data Digital operations require building the capability of "Utilizing Data." Hotels should effectively use data mining to understand customer needs, thereby establishing a digital operations system oriented towards user demand.

The core of digital operations revolves around data-driven digital work. Data analysis and insights are essential capabilities for conducting effective operations. Through effective data analysis results, businesses can improve and optimize their strategies, effectively enhancing operational efficiency and customer satisfaction.

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