Unlocking Insights: Training Course On Data Analytics For Hospitality Decision Making in Kenya
Introduction
In the competitive landscape of the hospitality industry, making informed and strategic decisions is crucial for success. Data analytics provides the essential tools and techniques to transform raw operational and customer data into actionable insights, empowering hospitality professionals to optimize performance, enhance the guest experience, and drive profitability. From understanding booking patterns and guest preferences to optimizing staffing and managing inventory, leveraging data is no longer optional but a necessity for effective hospitality management.
This practical training course is designed to equip hospitality professionals with the skills to effectively utilize data analytics for improved decision making. Participants will learn how to identify key data sources, apply analytical methods to uncover trends and patterns, interpret results, and translate insights into strategic actions. This program is essential for managers and staff across hotels, restaurants, and other hospitality businesses who want to leverage the power of data to enhance operational efficiency, improve guest satisfaction, and achieve business goals through data-driven hospitality.
Target Audience
- Hotel General Managers and Department Heads
- Revenue Managers and Analysts
- Hospitality Marketing Professionals
- Food & Beverage Managers
- Operations Managers in hospitality
- Guest Relations Managers
- Data Analysts supporting the hospitality sector
Course Objectives
- Understand the importance of data analytics in modern hospitality decision making.
- Identify key data sources available within hospitality operations (PMS, POS, online reviews, etc.).
- Learn techniques for collecting, cleaning, and preparing hospitality data for analysis.
- Explore descriptive and diagnostic analytics to understand past and current hospitality performance.
- Gain skills in applying data analysis tools and techniques relevant to hospitality data.
- Understand how data analytics can be used to enhance the guest experience and personalization.
- Learn how analytics supports revenue management, pricing, and demand forecasting in hospitality.
- Analyze case studies showcasing successful applications of data analytics in various hospitality settings.
Duration
5 Days
Course Outline
Module: Introduction to Data-Driven Hospitality
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- Defining data analytics and its strategic importance in the hospitality industry.
- Understanding the concept of data-driven decision making in hotels and restaurants.
- Exploring the types of data generated across different hospitality functions; this module covers data types.
- Identifying the benefits of using data analytics to improve efficiency and profitability.
- Overview of the current landscape of data analytics adoption in hospitality; this module highlights industry trends.
Module: Hospitality Data Sources and Collection
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- Identifying key internal data sources (Property Management Systems, Point of Sale systems, CRM, HR systems).
- Exploring external data sources (online travel agencies, social media, review sites, market data).
- Strategies for collecting and integrating data from disparate hospitality systems; this module covers data integration.
- Ensuring data quality, accuracy, and consistency in hospitality datasets.
- Addressing data privacy and security considerations in collecting hospitality data; this module addresses data governance.
Module: Descriptive and Diagnostic Analytics
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- Applying descriptive statistics to summarize key hospitality performance indicators (KPIs).
- Analyzing historical data to identify trends in occupancy, revenue, and guest behavior.
- Utilizing diagnostic analytics to understand the root causes of performance issues; this module covers root cause analysis.
- Creating reports and dashboards to visualize key hospitality data
- Interpreting results to gain a clear understanding of past and current hospitality performance; this module focuses on interpretation.
Module: Data Analytics for Guest Experience
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- Leveraging data to understand guest preferences, behavior, and feedback.
- Analyzing guest reviews and social media data to gauge satisfaction levels.
- Using data to personalize guest experiences and tailor service offerings; this module covers personalization.
- Identifying guest segments based on their preferences and behavior patterns.
- Measuring the impact of data-driven initiatives on guest satisfaction and loyalty; this module addresses impact measurement.
Module: Data Analytics for Revenue Management
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- Applying data analytics to forecast demand and optimize pricing strategies.
- Analyzing booking patterns, market trends, and competitor data.
- Utilizing data to manage inventory and availability effectively; this module covers inventory management.
- Understanding key revenue management KPIs and how to analyze them.
- Implementing data-driven revenue management strategies to maximize profitability; this module focuses on strategy implementation.
Module: Data Analytics for Operational Efficiency
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- Using data to optimize staffing levels and labor costs in different hospitality departments.
- Analyzing operational data to identify bottlenecks and areas for process improvement.
- Leveraging data for effective inventory and supply chain management in restaurants and hotels; this module covers supply chain.
- Monitoring utility consumption and implementing data-driven sustainability
- Utilizing data to enhance maintenance scheduling and asset management; this module addresses asset management.
Module: Implementing Data Analytics and Future Trends
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- Developing a strategy for integrating data analytics into hospitality operations.
- Choosing the right data analytics tools and platforms for hospitality businesses.
- Overcoming challenges in implementing data-driven decision making in hospitality; this module covers implementation challenges.
- Exploring the role of predictive analytics and AI in the future of hospitality data analysis.
- Analyzing case studies of successful data analytics implementations and their business impact; this module highlights practical examples.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Training Venue
The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.
Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.
| Dates | Fees | Location | Apply |
|---|---|---|---|
| 23/06/2025 - 27/06/2025 | $1500 | Nairobi |
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| 07/07/2025 - 11/07/2025 | $1500 | Nairobi |
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| 14/07/2025 - 18/07/2025 | $3500 | Johannesburg |
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| 21/07/2025 - 25/07/2025 | $1500 | Nairobi |
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| 04/08/2025 - 08/08/2025 | $1500 | Nairobi |
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| 11/08/2025 - 15/08/2025 | $1750 | Mombasa |
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| 18/08/2025 - 22/08/2025 | $1500 | Nairobi |
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| 25/08/2025 - 29/08/2025 | $1500 | Nairobi |
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| 01/09/2025 - 05/09/2025 | $1500 | Nairobi |
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| 08/09/2025 - 12/09/2025 | $3500 | Dar es Salaam |
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| 15/09/2025 - 19/09/2025 | $1500 | Nairobi |
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| 22/09/2025 - 26/09/2025 | $1500 | Nairobi |
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| 06/10/2025 - 10/10/2025 | $1500 | Nairobi |
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| 13/10/2025 - 17/10/2025 | $3000 | Kigali |
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| 20/10/2025 - 24/10/2025 | $1500 | Nairobi |
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| 27/10/2025 - 31/10/2025 | $1500 | Nairobi |
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| 03/11/2025 - 07/11/2025 | $1500 | Nairobi |
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| 10/11/2025 - 14/11/2025 | $1750 | Mombasa |
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| 17/11/2025 - 21/11/2025 | $1500 | Nairobi |
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| 24/11/2025 - 28/11/2025 | $1500 | Nairobi |
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| 01/12/2025 - 05/12/2025 | $1500 | Nairobi |
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| 08/12/2025 - 12/12/2025 | $1500 | Nairobi |
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| 15/12/2025 - 19/12/2025 | $1500 | Nairobi |
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