If you’re interested in learning about Power BI and how to get started with this powerful data visualization tool, then this post is for you. As someone who has been using Power BI for a while now,
Are you interested in becoming a business intelligence analyst? With the demand for data-driven insights on the rise,
The ability to analyze and comprehend that data has become an increasingly vital skill in a world where practically every organization relies significantly on it.
SQL (Structured Query Language) is the language of data, and it is the primary tool used in the business intelligence industry for working with data.
Data plays a critical role in making informed decisions in today’s rapidly changing world. With mobile devices becoming an inseparable aspect of our daily lives,
As a business intelligence analyst, one of the most critical aspects of your job is communicating data insights effectively. To do that, you need to make sure that the data visualizations
This week I analyzed a HUGE data set that contained records of 28 million Green Taxi trips in New York City. It was perfect for data wrangling and visualization task.
Data sets often come with missing values. The problem of missing data is relatively common and can significantly affect the conclusions drawn from your data.
This report summarizes Plato’s Pizza restaurant’s annual performance (year 2015). Additionally, it makes recommendations to identify opportunities to increase sales and perform more efficiently.
Spirit Sport, is a fictional global manufacturing company. My task is to design and deliver professional and end to end business intelligence solution using Microsoft Power BI.
New Market is a fictional multi-national supermarket company having stores in Canada, Mexico, and the United States. This is my personal project to illustrate my Business Intelligence skills.
As a Data Visualization Specialist, my task is to design a dashboard using Microsoft Excel to clearly communicate insights.Grand Beach Resorts, a resort hotel chain, facing revenue loss due to advanced reservations.