Hi everyone, this is an entry submitted by Komal Bhatt via email.
Here’s how Komal Bhatt described it:
Had a go at analyzing this month’s Enterprise DNA Challenge 22 dataset - Hotel Revenue Management. There were a lot of possibilities with this one but decided to go with exploring some revenue growth strategies.
Hi everyone
I just found a research article that used a very similar hotel management data set and they had a data dictionary that helps with understanding what the data and the columns. I’ve extracted them into an Excel file and also included the source.
Hi everyone, this is an entry submitted by Erika Lil via email.
Here’s how Erika Lil described it:
In my report I ended up using a lot of calculated columns to get some totals for different categories, like revenue, reservations etc. I also heavily used the grouping function to make the data more easily filterable for the end user.
Hi everyone, this is an entry submitted by Darpan Sahai via email.
Here’s how Darpan Sahai described it:
I prepared four pages in this report which contain Top Line Report, Customers Page, Agents Page, and a drill-through page known as the Agent Details page which shows the details of every individual agent
Hi everyone, this is an entry submitted by Blessing Ibrahim via email.
Here’s how Blessing Ibrahim described it:
Taking the role of a Report Developer, I produced this report after analyzing the dataset. The report contains the following pages: Overview, Revenue, Reservation, Guest and Agent performance
Hi everyone, this is an entry submitted by Juan Pierre Louw via email.
Here’s how Juan Pierre Louw described it:
This is my entry for EDNA Challenge 22 “Hotel Revenue Management”. I hope you like it, and any criticism or constructive comment will always be well received
Hi everyone, this is an entry submitted by Kiruba Selvi via email.
Here’s how kiruba described it:
It was fun exploring the data and making the report. Challenge-22 gave me a great chance to self-analyze How much I know, and how much I have to improve further
Hello!
I really enjoyed this challenge, it was a very interesting dataset with some interesting insights I didn’t expect. This is my first submission to a challenge so I’m glad I was able to participate! I approached this looking at it from how the company would increase future revenues and decrease cancellations/no-shows. I welcome any and all feedback as I am always looking to improve my Power BI skills.