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This project analyzes CodeX Beverage Marketing. Here I find problems and offer solutions, study consumer preferences, and improve brand awareness using competition analysis, marketing channels, and optimization in focus cities. Also examined purchase behavior, identify product development opportunities, strategize pricing and promotions.
About Developed an interactive HR attrition analysis dashboard using Power BI to gain insights into employee turnover and identify key attrition reasons within the organization. By analyzing attrition trends and visualizing relevant metrics, the dashboard helps HR professionals understand the underlying causes of attrition.
Here, I share .pbix files of the visualizations featured in my blog posts. Explore and download these files to dive deeper into the data behind the stories.
This repository contains the project materials for optimising e-commerce conversion rates through comprehensive data analysis. Leveraging SQL, MySQL, Power BI, and other tools, explore key factors influencing website performance. From data collection to actionable insights and recommendations,
Hello everyone these dashboards are made by the data from open source. These dashboards are capable for answer many questions asked by clients or stakeholders. These can analyze many factors of data.
Welcome to the Power BI Projects Repository crafted by Tejas. The project utilized Power BI to analyze CSV-based employee data, offering insights into performance and attrition, aimed at enhancing employee retention and satisfaction.
This Sales and Finance Analytics repository contains a comprehensive set of reports and analytics aimed at enhancing sales and financial understanding within an organization
Objective: To develop a comprehensive credit card weekly dashboard that provides real time insights into key performance indicators and trends enabling stakeholders to monitor and analyse credit card operations effectively
This project extracts and cleans raw YouTube data from excel-csv (Kaggle) through SQL and identifies the top-performing UK-based YouTubers. Data Stack: Excel | Microsoft SQL Server | Power BI
Identified insights in the ecommerce datasets with "What-If Analysis", and "Up-Sell Strategies", data modeling to EDA, DAX functions, and report design.