Dhruba Banerjee’s Post

Hey connections,😊 I'm excited to share my recent project, where I leveraged the power of "Power BI" to conduct a comprehensive analysis of Blinkit's sales performance, customer satisfaction and inventory distribution to identify key insights and opportunities for optimization using various KPI's and visualization in Power Bi. Key insights 💡 1. Total sales by fat content: Analyze the impact of fat content on total sales. 2. Total sales by item type: Identify the performance of different item types in terms of total sales. 3. Fat content by outlet for total sales: Compare total sales across different outlets segmented by fat content. 4. Total sales by outlet establishment: Evaluate how the age or type of outlet establishment influences total sales. 5. Sales by outlet size: Analyze the correlation between outlet size and total sales. 6. Sales by outlet location: Assess the geographic distribution of sales across different location. 7. All metrics by outlet type: Provide a comprehensive view of all key metrics (Total sales, Average sales, Number of items, Average rating) broken down by different outlet types. What I learned ✍️ 1. Efficient data modelling is crucial for quick and insightful dashboard creation. 2. Even with clean data, proper structuring can significantly enhance analysis. 3. Power BI's capabilities in visualizing complex data in a simple way continue to impress me. #PowerBi #Dataanalysis #Dasboard #DataModelling #DataScience

🌟 Excited to share that I've created Blinkit Sales using Power BI! 💡 🚀 I am thrilled to present my latest Power BI dashboard focusing on Blinkit sales specifically Fat content. This dashboard provides comprehensive insights into Fat content, helping customers understand the underlying trends and factors contributing to fat content. Creating the Metric matric of Total sales, Avg Sales, Avg Rating and No of Items. 🎯 Key Features: All the KPIs are Total Sales, Avg Sales, Avg Rating, No of Items. Fat Content: Total no of sales over the products. Outlet Establishment: In-depth analysis of outlet was established over the years. Outlet Size: Visual total no of sales according to the outlet size. Outlet Location: Sales according to the outlet location. Outlet type: Drill-through outlet type over the Total Sales, Avg Sales, Avg Rating, No of Items and Item visibility. Using the edit interactions to visual the graphs for the certain click. Dashboard Highlights: Leveraging the advanced capabilities of Power BI, this dashboard provides powerful data visualization and analytics, making it an essential tool for sales teams and managers to optimize their strategies and drive business success. Thanks to her valuable tips& tricks and constant feedback, I have greatly enhanced my work efficiency and professionalism. I hope you find my dashboard as helpful and transformative as I do. Feel free to access the file, share our insight, and together grow professionally. Power Bi Dashboard : https://lnkd.in/gsr_8jgb #PowerBI #DataVisualization #DataScience #Dashboard #DataDriven #HRTech #DataAnalytics #BusinessIntelligence Power Bi Dashboard : https://lnkd.in/gsr_8jgb

🚀 Thrilled to share that I've successfully completed my latest Power BI project on Blinkit Sales Analysis! 📊💻 During this project, I deepened my understanding of data analytics, translating raw data into actionable insights to guide business decisions. 🌟 Project Highlights 🌟 1️⃣ Total Sales by Fat Content - Showed the impact of fat content on sales, revealing variations in Average Sales, Number of Items, and Average Ratings across categories. 2️⃣ Total Sales by Item Type - Assessed the performance of each item type, highlighting which product types drive the highest sales. 3️⃣ Fat Content by Outlet for Total Sales - Compared total sales across outlets segmented by fat content, helping prioritize outlets for different product types. 4️⃣ Total Sales by Outlet Establishment Age/Type - Identified how the age/type of an outlet influences sales trends over time. 5️⃣ Sales by Outlet Size and Location - Analyzed how outlet size and location correlate with sales performance, aiding in location-based strategies. 6️⃣ Comprehensive Metrics by Outlet Type - Provided an overview of all key metrics (Total Sales, Average Sales, Number of Items, Average Rating) by outlet type, offering a full perspective on performance. This journey was a fantastic opportunity to bring business intelligence to life! Grateful for the continuous learning and growth. 🌱 #PowerBI #BlinkitAnalysis #SalesAnalytics #DataVisualization #InventoryManagement #DataAnalysis #BusinessIntelligence #PowerBIProject

🌟 I’m thrilled to share my latest project: A Comprehensive Sales Analysis Dashboard for Blinkit using Power BI! 📊✨ This dashboard provides critical insights into sales performance, focusing on key metrics that drive decision-making. Here’s what it covers: 1. Total Sales by Fat Content – Understand how different fat levels impact sales. 2. Total Sales by Item Type – Analyze performance across various product categories. 3. Fat Content by Outlet for Total Sales – Discover how sales vary by fat content across different outlets. 4. Total Sales by Outlet Establishment – Evaluate sales performance at each outlet. 5. Sales by Outlet Size – Assess how outlet size correlates with sales figures. 6. Sales by Outlet Location – Identify trends based on geographical performance. 💡 Tools Used: Power BI for dashboard development and visualization. DAX for complex calculations and data modeling. Data Cleaning & Quality Check to ensure accuracy and reliability. I’m excited to see how these insights can help drive strategic decisions at Blinkit! Looking forward to your feedback! hashtag #PowerBI #DataAnalytics #SalesAnalysis #Dashboard #BusinessIntelligence #Blinkit

🚀 Excited to share my latest project where I analyzed Blinkit sales data using Power BI! In this project, I developed a comprehensive Power BI dashboard that provides valuable insights into sales trends and customer behavior. 🔍 Key Highlights: - Project: Blinkit Sales Data Analysis - Tool Used: Power BI - Outcome: Detailed dashboard showcasing key metrics and visualizations This dashboard helps in: ✅ Identifying patterns and trends in sales data ✅ Understanding customer behavior ✅ Making data-driven decisions to optimize sales strategies Here’s a glimpse of the Power BI dashboard I created, highlighting critical sales metrics. Excited to connect with others interested in data analysis and business intelligence. Let’s chat about how data can drive decisions! #DataAnalysis #PowerBI #SalesData #BusinessIntelligence #Analytics

🌟 Unlocking Insights with Power BI: Blinkit Sales Analysis 🌟 Excited to share my latest project, where I leveraged Power BI to conduct a comprehensive analysis of Blinkit's sales performance, customer satisfaction, and inventory distribution. This journey involved turning raw data into actionable insights through advanced data visualization techniques. Key Steps in the Project: ✔️ Requirement Gathering: Understanding business goals and KPIs. ✔️ Data Cleaning & Modeling: Ensuring accuracy and seamless integration. ✔️ DAX Calculations: Enabling dynamic and meaningful metrics. ✔️ Dashboard Development: Designing intuitive and impactful visuals. Business Objective: The project aimed to identify key insights and opportunities for optimization through various KPIs like Total Sales, Average Sales, Number of Items Sold, and Average Customer Ratings. Visualizations at a Glance: 🍩 Donut Chart: Sales analysis by fat content. 📊 Bar Chart: Performance by item type. 📊 Stacked Column Chart: Fat content comparison across outlets. 📈 Line Chart: Sales trends by outlet establishment. 🗺️ Funnel Map: Geographic sales distribution. 📋 Matrix Card: Comprehensive metrics by outlet type. The insights generated are invaluable for driving better decision-making and optimizing performance across various business dimensions. This project allowed me to: 🕐 Enhance my expertise in data visualization and storytelling. 🕑 Dive deep into KPI development and analysis. 🕒 Build an intuitive, interactive Power BI dashboard that translates complex data into actionable insights. I’d love to hear your thoughts on this project. #PowerBI #DataAnalytics #DashboardDesign #BusinessInsights

🌟 I’m thrilled to share my latest project: A Comprehensive Sales Analysis Dashboard for Blinkit using Power BI! 📊✨ This dashboard provides critical insights into sales performance, focusing on key metrics that drive decision-making. Here’s what it covers: 1. Total Sales by Fat Content – Understand how different fat levels impact sales. 2. Total Sales by Item Type – Analyze performance across various product categories. 3. Fat Content by Outlet for Total Sales – Discover how sales vary by fat content across different outlets. 4. Total Sales by Outlet Establishment – Evaluate sales performance at each outlet. 5. Sales by Outlet Size – Assess how outlet size correlates with sales figures. 6. Sales by Outlet Location – Identify trends based on geographical performance. 💡 Tools Used: Power BI for dashboard development and visualization. DAX for complex calculations and data modeling. Data Cleaning & Quality Check to ensure accuracy and reliability. I’m excited to see how these insights can help drive strategic decisions at Blinkit! Looking forward to your feedback! #PowerBI #DataAnalytics #SalesAnalysis #Dashboard #BusinessIntelligence #Blinkit

I’m thrilled to share my latest project: a comprehensive Sales Report Dashboard developed using Power BI! 📊 This dashboard leverages two essential datasets: Details.csv: Contains detailed sales transaction data including amounts, profits, and payment modes. Orders.csv: Provides insights into order specifics and customer details such as locations and order dates. 🔍 Key Features: Interactive Visualizations: Dive deep into sales performance with dynamic charts and graphs. Filters & Slicers: Analyze data by various dimensions like date, product category, and payment mode. Key Metrics: Get valuable insights into total sales, profit margins, and trends by region and customer. ✨ What You Can Do: Explore: Open the Power BI file to interact with the dashboard and gain actionable insights. Analyze: Use the visualizations to understand sales patterns and make data-driven decisions. Share: Publish the dashboard to Power BI Service to collaborate and share insights with your team. Feel free to check it out and let me know what you think! If you’re interested in how it was built or have any questions, don’t hesitate to reach out. 🔗 https://lnkd.in/d49H8xrh #PowerBI #SalesDashboard #DataAnalytics #BusinessIntelligence #DataVisualization #SalesReport

I've created a comprehensive Power BI 📊 dashboard that provides deep insights into our sales performance. With various interactive visualizations like KPIs, pie charts, donut charts, maps, and ribbon charts, this report offers a clear, data-driven view of our sales trends by region, segment, and category . key features: *Prepare report one time, it will keep updating automatically *data cleaning in Power Query *KPIs for total sales ,quantity, discount, and profit *Pie & Donut charts for regional and segment-based sales analysis *Bar & Column charts to compare sales by category and sub-category *Map visualization enables users to see the specific locations where sales are happening, offering valuable insights for regional strategy or local marketing initiatives. *Ribbon chart to track performance by year and quarter *slicer in the report to allow users to filter and view sales data on a quarterly basis. This report helps to quickly identify sales trends, track key metrics, and make informed business decisions. Excited to see how this approach can drive data driven strategies in the future! #PowerBI #DataAnalysis #SalesPerformance #Businesslntelligence #DataVisualization #DAX

🚀 Excited to share my latest project: a comprehensive *Sales Dashboard in Power BI*! 📊 This dashboard is designed to provide clear insights and help drive strategic decision-making. Key features include: ✅ *Real-Time Sales Tracking:* Monitor sales performance with up-to-the-minute data. ✅ *Revenue Analysis:* Break down revenue by product, region, and sales team. ✅ *Trend Identification:* Spot trends over time to understand market behavior. ✅ *Interactive Visualizations:* Engage with data through interactive charts and graphs. ✅ *Performance Metrics:* Track key metrics like sales growth, conversion rates, and customer acquisition. By leveraging Power BI, we can turn complex data into actionable insights, empowering our team to make data-driven decisions. #PowerBI #SalesDashboard #DataVisualization #BusinessIntelligence #DataDriven #Datascience #infividhya