OBJECTIVE Ecommerce or Retail Store wants us to help them create a dashboard to track and analyze their online sales across India to improve customer buy rate and sales.
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Updated
Oct 12, 2023
OBJECTIVE Ecommerce or Retail Store wants us to help them create a dashboard to track and analyze their online sales across India to improve customer buy rate and sales.
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 project shows Unicorn Companies Analysis
Collection of projects done in Power BI
This dashboard enables users to assess the market's size and growth trends, offering insights into the total number of BEVs and PHEVs in the dataset. Additionally, it includes an analysis of the average electric range of these vehicles, which helps gauge technological advancements and efficiency improvements within the industry.
Showcase to my Power BI skills about Power Query Editor.
The main objective of this project is to analyze retail sales data to gain actionable insights that will enhance the performance of the Coffee Shop.
This project aims to analyze the survey on data professionals and identify trends and insights related to career transition. The project will leverage several key performance indicators (KPIβs) to measure the average salary of data professionals around the world, including their favorite Programming language and other factors.
Case Study : Sales insight with power Bi
Developed an interactive dashboard for analyzing Netflix content, highlighting strong data analysis skills through insightful visualizations.
A comprehensive project that involves analyzing movie datasets to extract insights and trends, coupled with a context-based recommendation system. This system recommends movies based on user preferences and contextual factors. The project includes data preprocessing, exploratory data analysis, and model deployment using Streamlit
My transformative journey through the Excel 30-Day Challenge, organized by Techavilly.
Developed a sales dashboard for AtliQ Hardware, showcasing key metrics like Revenue and Sales Quantity. Enables quick assessment of performance and addressing declining sales with filters by YEAR and MONTH. Detailed SQL commands and DAX queries provided for reference.
This repository specially created for powerBi Dashboard...for best visualization
β This project aims to analyze the sales performance of a coffee shop using SQL for data extraction and Power BI for visualization. The analysis focuses on understanding π sales trends, π order patterns, and π¦ quantity sold over time, along with specific insights into π store locations, ποΈ product categories, and π day-wise performance.
This project involves creating a dynamic registration form in Excel, featuring dependent dropdown lists π, functional macros βοΈ, and protected sheets π. The goal is to streamline data collection for meetings, ensuring ease of use and data integrity. ππ
Throughout the project, I honed my skills in data transformation, data modeling, and report building. I leveraged Power BI's robust capabilities to identify sales trends, analyze product performance, and gain valuable insights into our customer behavior.
Utilized Power BI to analyze and visualize global COVID-19 data, demonstrating proficiency in data preparation, transformation, and visualization techniques.
Our sales analysis leverages data-driven insights to understand customer preferences, seasonal trends, and market dynamics. By uncovering patterns in sales data, we inform strategic decisions, optimize inventory, and boost customer satisfaction. At Adventure Works, we transform data into actionable strategies to meet the evolving needs of adventure
This project analyzes the 2024 Olympic Games with a focus on π₯ athlete performance, π medal distribution, and π country rankings using Power BI and Python. Featuring data from 206 countries and 1,698 teams, it provides insights into π athlete stats, π« gender distribution, and π historical trends from 1896 to 2022.
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