A book store with stores worldwide doing quite well on the book market wanted to know how to improve their sales to generate more revenue for their business.

They wanted to know how their audience insight can help them make more money and they decided data analytics was the best way for them to do this. As it will help them to gain insights into their sales data and uncover some pretty interesting information.

The objective the company wanted to achieve was to create an interactive dashboard using Tableau to provide actionable insights into sales performance and trends.

My task was to analyze sales information to get insights and make informed recommendations. My tools for this analysis were R Studio Desktop and Tableau. 

NOTE: THIS DATA WAS AI - GENERATED AND EVERY INFORMATION HERE IS COMPLETELY FICTIONAL. ANY RESEMBLANCE TO REAL DATA IS PURELY COINCIDENTAL. 

A retail store noticed their prices weren't as optimized as they hoped and after the debriefing meeting with team members, they concluded that they needed a business analyst to come on the team and help them instead of optimizing prices based on assumptions.

I took on the project with the main task of selecting and analyzing relevant price-forming factors and the degree of their influence on their prices.
My analysis aimed to calculate the optimal selling prices for the products to create efficient, data-driven recommendations for the company.

The analysis tool I employed was Microsoft Power BI.