Data BI LLC’s Post

Project Link : https://lnkd.in/gQ496-Bz Shopping Trends Dashboard This Power BI dashboard provides insights into customer shopping trends. It allows you to see what customers are buying, how much they are spending, and other important metrics. The dashboard includes the following key insights: Overall Sales: The dashboard shows total sales amount, average rating of all products and the last refresh date. In this example, total sales amount is $233,081. Purchase by Season: The chart shows the number of purchases made in each season (Spring, Summer, Fall, Winter) This can help you identify which seasons are most profitable for your business. Purchase by Size: The chart illustrates how many items were purchased in each size (XS, S, M, L, XL). You can use this information to see which sizes are in highest demand and adjust your inventory accordingly. Promo Code Used on Purchase: The chart shows how many times each promo code was used. This can help you see which promo codes are most effective and how much money they are saving your customers. Location: The chart displays the total amount spent by customers in each location. This can help you see where your products are most popular and identify new markets to target. Purchase Count by Category: The chart breaks down the number of purchases made in each category (Clothing, Accessories, Footwear, Outerwear). This can help you see which categories are selling well and which ones need improvement. Payment Method: The chart shows the total amount spent using each payment method (Credit Card, Debit Card, Cash, Venmo). This can help you see which payment methods are most popular and identify any potential issues with your payment processing system. Item Purchased Amount: The chart illustrates the total amount spent on different items (Blouse, Shirt, Dress, Pants, Jewelry). This can help you see which items are selling well and which ones need improvement. Purchase Product Color Count: The chart shows how many items were purchased in each color (Olive, Yellow, Silver, Teal, Green, Black). This can help you see which colors are most popular and identify any trends. By understanding these trends, you can make data-driven decisions about your inventory, marketing, and pricing.  #salesanalytics #data #salestrendanalytics #dataanalyst #dataanalytics #dataprojects #powerbi #excel #canvadesign #datavisualization #dataanalysis #datalover #dataenthusiast #learndataanalysis #datavisualizationlove #datasciencelife #dataisbeautiful #opendata #dataviscommunity #datagoals #futureofdata

𝐓𝐢𝐭𝐥𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭: “𝐄𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐒𝐚𝐥𝐞𝐬 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝” 𝐊𝐞𝐲 𝐌𝐞𝐭𝐫𝐢𝐜𝐬: Total Amount: $438K Total Profit: $37K Total Quantity Sold: 5,615 Average Order Value (AOV): $121K 𝐕𝐢𝐬𝐮𝐚𝐥 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: Profit by Year & Month: Easily track profit trends over time with a bar graph. Profit by Sub-Category: Drill down into product performance, covering sub-categories like Printers, Bookcases, Saree, Accessories, and Tables. Quantity by Category: A quick view of how different product categories are performing in terms of units sold. Quantity Ordered by Payment Mode: Understand customer payment preferences to optimize our offerings. 𝐒𝐥𝐢𝐜𝐞𝐫𝐬 𝐟𝐨𝐫 𝐝𝐞𝐞𝐩𝐞𝐫 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Filter by Year, Month, Day, City, and Customer Name to dive into granular insights and make data-driven decisions with ease. This dashboard empowers stakeholders to monitor sales trends, identify profit drivers, and refine customer strategies. Ready to take business intelligence to the next level. #DataAnalytics #DashboardDesign #PowerBI #DataVisualization #BusinessIntelligence #DataDriven #DataAnalyst

Proud to share that I successfully completed a comprehensive SQL case study for Texture Tales, a trendy fashion brand! In this project, I analyzed the company's sales performance and generated key financial reports to help their merchandising team make data-driven decisions. From calculating total revenue and discounts to identifying top-selling products and transaction trends, this case study honed my SQL skills and deepened my understanding of retail analytics. Excited to apply these insights in future projects and continue growing my data expertise! #SQL #DataAnalytics #Retail #ProfessionalGrowth

🚀 Power BI: Fun little side project I just finished Built a universal dashboard for sales of e-commerce in the retail store. It helps to make a data-driven decision and also gives valuable insights into sales performance, customer behavior, and market trends. To tell complex stories with data through #dataviz #reinvent! #dataVisualization #DataAnalytics📊 PowerBI DataVisualization Ecommerce DataAnalytics BusinessIntelligence

Hello everyone, I'm thrilled to present insights from my latest analysis with you! Project Title:  Women Clothing E-Commerce Review Analysis This analysis examines customer reviews in a Women’s Clothing E-Commerce dataset, focusing on feedback, ratings, and customer sentiments. By analyzing the content of reviews and accompanying ratings, the study aims to uncover insights into customer satisfaction, product quality perceptions, and factors influencing purchasing decisions. These insights can help improve product offerings, enhance customer service, and guide marketing strategies to better meet customer expectations in the e-commerce space. #EcommerceAnalysis #CustomerInsights #ProductReviews #DataDriven Visualization Tool: Power BI Data Source: Quantum Analytics NG Key Performance Indicators (KPIs): ·        Total Reviewed Products – 1,026 ·        Total Ratings – 23,486 Insights Gained: ·        Rating Distribution ·        Product Recommendation ·        Total Ratings By Division ·        Total Ratings by Department ·        Total Rating by Class Name ·        Rating Distribution by Division ·        Rating Distribution by Department ·        Rating Distribution by Class Name Recommendations: Enhance Product Descriptions and Images: Address common feedback in reviews by updating product descriptions and images to better match customer expectations, reducing returns and dissatisfaction. Improve Sizing and Fit Information: Provide more detailed sizing guidance or customer-based fit reviews to help customers choose the right size, addressing common sizing issues in reviews Address Frequent Complaints: Identify recurring issues in lower-rated reviews and work to improve those product aspects, enhancing the customer experience and reducing negative feedback. Acknowledgments: Quantum Analytics NG, Jonathan Osagie #data #dataanalytics #excel #datavisualization

What would you suggest if: A retail chain was struggling with fragmented data from multiple sources, making it difficult to manage sales and inventory efficiently. Store managers lacked a consolidated view, leading to stockouts, overstock situations, and missed sales opportunities. The solution I suggest would be : To develop a comprehensive, real-time dashboard using Power BI that brings all essential data under one roof. Here's how to do it: Requirement Gathering: Engaged with stakeholders to define key performance indicators and understand pain points. Data Integration: Consolidated data from POS systems, inventory management software, and customer feedback platforms. Dashboard Design: Create an intuitive, interactive interface with real-time updates and powerful visualization Enhanced Decision-Making: Make you managers gain real-time visibility, enabling quicker data-driven decisions. Improved Inventory Management: Balanced stock levels, reducing both stockouts and overstock situations. Data’s are opportunities. #DataAnalytics #DataVisualization #PowerBI #BusinessIntelligence #OperationalEfficiency

The stories data tells are endless—let’s uncover the one that drives success." I would be sharing my analysis on this dataset: Women’s Clothing E-Commerce Reviews Dataset "What customers say matters just as much as what they buy." Findings from women’s clothing reviews: Business Case Questions ~ What are the average rating per divisions? ~Which class of clothing receives the most positive feedback on average (Top 10)? ~Is there a difference in ratings between recommended and non-recommended products? ~ What is the distribution of ratings for each class within a department? ~ Which divisions has the highest percentage of recommended products? ~ What is the average rating by age group? ~ Which age group writes the most reviews Visualization: Excel, PowerBi Insight: Products with positive feedback and clear descriptions see higher repeat purchases. Challenge: Negative reviews focus on fit and material quality. Recommendation: Use customer feedback to improve product descriptions and refine sizing charts. Listening to your customers builds trust and loyalty. What’s one way you’ve used feedback to grow your business? #DataAnalytics #DataVisualization #Dataprojects #Quantum AnalyticsNG #Jonathan Osagie #Godswill Ojumeaka

Exciting news! I've just wrapped up a dynamic project focused on crafting an Excel-based dashboard for an Annual Sales Report, and I can't wait to share the results with you. This dashboard empowers shop owners to effortlessly monitor crucial metrics such as sales, revenue, and inventory levels in real-time, all within a user-friendly interface designed for easy data analysis and informed decision-making. Key features of this dashboard include: A single chart that compares sales and orders. Identification of the highest-selling month and the month with the most orders. Analysis of gender-based purchasing behavior to determine whether men or women made more purchases. Insights into different order statuses. A list highlighting the top 10 states contributing to sales. Identification of the highest-selling product categories, among other features. The project involved meticulous steps such as data cleaning, processing, analysis, and ultimately, dashboard creation. The resulting dashboard offers interactive charts and graphs for visualizing data, customizable filters for tailored analysis, automated data refresh for real-time updates, and drill-down capabilities for deeper insights. I take pride in the work I've accomplished on this project and firmly believe it serves as a valuable tool for shop owners aiming to optimize their business operations. #dataanalytics #excel #exceldashboard #datacollection #datascience

📊 Exicted to share my interactive E-commerce Sales data created Dashboard using PowerBI. This dynamic tool provides key insights to drive strategic decisions,including : . Detailed breakdowns by category and sub-category . Profit Analysis . Customer behavior insights . Inventory management Data is a very powerful tool,and i am continue to exploring the stories it can tell. #DataAnalytics #PowerBi #ProfitAnalysis #SalesAnalysis #DataVisualization #Ecommerce #BusinessIntelligence #LearningJourney #DashBoardDesign