This Power BI dashboard provides an analytical overview of Blinkit’s sales performance across multiple outlets, item categories, and store types. It helps track key performance metrics and uncover insights for strategic decision-making. Key Highlights: Overall sales performance and average sales per item Outlet establishment trends over the years Sales distribution by outlet size and location Product category-wise sales comparison Analysis of fat content and item type contribution Performance summary by outlet type including sales, ratings, and visibility This interactive dashboard delivers a clear and comprehensive view of sales data, supporting better business insights and operational efficiency. #PowerBI #DataAnalytics #BusinessIntelligence #SalesDashboard #RetailAnalytics #Blinkit #PowerBIDashboard #DataVisualization #DataDrivenInsights

Turning numbers into stories 📈 🚀 Just finished designing a Blinkit Sales Dashboard to track key performance metrics — from total sales and revenue to city- and category-wise insights. The goal was to visualize complex data in a simple, intuitive way to help drive better business decisions. 📊 Built using modern visualization principles focused on clarity, hierarchy, and color balance. #DataAnalytics #DashboardDesign #PowerBI #DataVisualization #Blinkit #Analytics #BusinessIntelligence

Sharing a quick walkthrough of my Blinkit Sales Dashboard Project built in Excel! This video highlights how the dashboard works with: ✅ Interactive filters (by outlet size, location, and item type) ✅ Dynamic charts for sales, ratings, and fat content analysis ✅ Clear, business-ready insights for decision making 📊 #Excel #Datavisualization #Dashboard #Learningjourney

🔍 Just wrapped up building a comprehensive Sales Dashboard in Excel—and it's a game-changer for data-driven decision making! 📌 Key features: Interactive slicers for region, product, and top salesperson filters Year-wise sales comparison using line charts Product-wise insights with pie and column charts Clean, intuitive layout for fast analysis This dashboard transforms raw data into actionable insights, helping teams track performance and spot growth opportunities instantly. Proud to bring clarity to complexity! 💼📈 #ExcelMagic #SalesDashboard #DataDriven #BusinessAnalytics #ExcelVisualization #DecisionSupport

Task 8 : From Elevate Labs Built an interactive sales dashboard using the Superstore dataset to analyze sales performance by product, region, and month. Visualizations include line, bar, and donut charts with interactive filters for actionable insights. The dashboard helps identify top-performing regions, popular categories, and seasonal trends. #DataVisualization #PowerBI #BusinessIntelligence #SalesAnalytics #DataDriven

💥 Excited to share a dashboard, after long time. I built to analyze Blinkit’s outlet performance across different locations and sizes. 🛒📊 This report highlights: ✅ Total sales & item distribution across outlets ✅ Outlet size and location performance ✅ Fat content trends by outlet tier ✅ Year-wise outlet establishment growth #PowerBI #DataAnalytics #BusinessIntelligence #Blinkit #DataVisualization #DashboardDesign

🚀Excel Project - Blinkit Sales Data Dashboard 📈 Recently, I created an interactive Excel Dashboard to analyze Blinkit's Grocery Sales data and uncover key business insights. 📊 Key Highlights: ✅ Total Sales - $1.20M ✅ Average Sales - $141 ✅ Total Items - 8523 ✅ Tier 3 outlets generated the highest sales($472k) ✅ Low-fat items contributed 65% of total sales This project helped visualize performance across outlet types, locations and item categories-transforming raw data into actionable insights for smarter decision-making. #DataAnalytics #ExcelDashboard #Blinkit #DataVisualization #RetailAnalytics #BusinessIntelligence #DashboardDesign #DataDriven #DataCleaning

🚀 Interactive Blinkit Sales Dashboard – Built in Power BI I created this Blinkit Sales Performance Dashboard to analyze business performance and help identify growth opportunities. 📊 Key Metrics Tracked: Total Sales: $1.20M revenue generated Average Sales per Outlet: $141 Total Items: 8,523 products Average Customer Rating: 3.9 ⭐ 🔹 Key Features: Dynamic filters to explore data by Outlet Type, Size, and Product Category. Trend analysis from 2012–2022, showing sales peaks and dips. Sales segmentation by location tiers and fat content for actionable insights. Automated reporting with Power Query, reducing manual effort by 40%. 🛠 Tools Used: Power BI, Excel 💬 Would love to hear your thoughts — which other KPIs would you add to improve this dashboard? #PowerBI #DataAnalytics #BusinessIntelligence #Blinkit #DataVisualization #RetailAnalytics #DataScience #Analytics

I’m thrilled to share my latest project—an interactive Excel dashboard! 🚀 I recently built an interactive Excel dashboard using the Blinkit sales dataset. The challenge: large, raw sales data across regions and categories. The solution: an interactive dashboard that lets you: ✅ Track key sales metrics at a glance ✅ Identify trends and high-performing categories ✅ Make data-driven decisions faster 🔑 Project Highlights : 1. 📉 KPI & Trend Analysis - Measures the Average and Total Sales along with the average ratings. 2. 📊 Custom Visuals - Engaging donut and bar charts for clear storytelling. 3. 📑 Pivot tables & slicers - For easy filtering by region, product category, and location. 4. 🖌️ Data cleaning & processing - Managed missing data, standardized columns, and enforced unique IDs. Working on this reminded me how powerful Excel can be—not just for numbers, but for storytelling through data. #ExcelDashborad #Dashboard #DataAnalytics #LearningByDoing #Analytics #Visualization #DataAnalytics #SalesInsights

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