Hospitality Analytics

$800

Course Description:
Focused on the use of data analytics in the hospitality industry, this course covers data collection, analysis techniques, and the application of insights to improve business performance. Participants will learn to make data-driven decisions.

Course Objectives:

  • Understand the principles of data analytics.
  • Collect and analyze data effectively.
  • Apply data insights to improve business performance.
  • Utilize analytics tools and techniques.

Learning Outcomes:

  • Implement data analytics strategies in hospitality settings.
  • Collect and analyze hospitality data.
  • Make data-driven decisions to improve performance.
  • Utilize analytics tools effectively.

Description

Course Contents:

Unit 1: Introduction to Hospitality Analytics

  • Overview of data analytics concepts.
  • Importance of data analytics in hospitality.

Unit 2: Data Collection Methods

  • Techniques for data collection.
  • Collecting relevant and accurate data.

Unit 3: Data Analysis Techniques

  • Analyzing data using various techniques.
  • Interpreting data insights.

Unit 4: Business Intelligence Tools

  • Key business intelligence tools.
  • Implementing BI tools in hospitality.

Unit 5: Predictive Analytics

  • Techniques for predictive analytics.
  • Applying predictive insights.

Unit 6: Customer Analytics

  • Analyzing customer data.
  • Improving customer experience through analytics.

Unit 7: Operational Analytics

  • Analyzing operational data.
  • Enhancing operational efficiency through analytics.

Unit 8: Financial Analytics

  • Analyzing financial data.
  • Improving financial performance through analytics.

Unit 9: Case Studies in Analytics

  • Successful analytics implementations.
  • Lessons learned from case studies.

Unit 10: Capstone Project

  • Developing an analytics strategy and plan.
  • Implementing analytics strategies learned in the course.

Evaluation:

  • Participation and Engagement (20%)
  • Case Studies and Projects (30%)
  • Midterm and Final Exams (30%)
  • Capstone Project (20%)

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