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The project analyzes ITC Hotels revenue and booking trends using Power BI. It features 4 interactive dashboards focusing on revenue optimization, occupancy trends, booking patterns, and cancellations. The analysis provides actionable insights to enhance operational efficiency and customer satisfaction. For detailed data cleaning and transformation

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ITC Hotels Dashboard Project

Project Overview

This Power BI project provides a comprehensive dashboard to analyze the financial performance, occupancy trends, room category insights, and cancellations for ITC Hotels. The dashboard aims to answer critical business questions and offers actionable insights for decision-makers to improve hotel performance and maximize revenue.

Key Problem Areas Addressed

Page 1: Financial Overview & Revenue Performance

Key Questions:

  • What is the total revenue generated by ITC Hotels, and how does it vary across different hotels and room categories?
  • What is the cumulative revenue growth over time?
  • How has the revenue grown month-over-month (MoM) and week-over-week (WoW)?
  • What are the Average Daily Rate (ADR) and Revenue per Available Room (RevPAR)?

KPIs and Metrics:

  • Total Revenue
  • Cumulative Revenue
  • MoM and WoW Growth
  • Moving Average of Revenue
  • Average Daily Rate (ADR)
  • Revenue per Available Room (RevPAR)

Page 2: Occupancy & Capacity Analysis

Key Questions:

  • What is the occupancy rate for each hotel and room category?
  • How does occupancy fluctuate seasonally (e.g., weekends, holidays)?
  • What is the cumulative occupancy trend and occupancy growth (MoM/WoW)?
  • How does occupancy correlate with revenue and RevPAR?

KPIs and Metrics:

  • Occupancy Rate

Page 3: Room Category Performance & Booking Insights

Key Questions:

  • Which room categories generate the most revenue?
  • How do booking patterns (lead time, check-in dates) affect revenue and occupancy?
  • What is the average length of stay (ALOS) for each hotel and room type?
  • What are the room revenue trends (including MoM/WoW growth)?

KPIs and Metrics:

  • Average Length of Stay (ALOS)
  • Booking Lead Time
  • Room Revenue Trends

Page 4: Cancellations & Lost Revenue Analysis

Key Questions:

  • What is the cancellation rate for each hotel and room category?
  • How have cancellation trends changed over time (MoM/WoW)?
  • What is the lost revenue due to cancellations?
  • Are there patterns in cancellations (e.g., specific room types, time of year)?

KPIs and Metrics:

  • Cancellation Rate
  • Cumulative Cancellations
  • Lost Revenue due to Cancellations
  • Cancellation Growth (WoW)

Technologies Used

  • Power BI for dashboard development
  • DAX Query for data preprocessing and KPI calculations

About

The project analyzes ITC Hotels revenue and booking trends using Power BI. It features 4 interactive dashboards focusing on revenue optimization, occupancy trends, booking patterns, and cancellations. The analysis provides actionable insights to enhance operational efficiency and customer satisfaction. For detailed data cleaning and transformation

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