E-commerce’s Post

Ever been curious about how you could leverage Real-Time Data Analysis and Materialized Views for E-Commerce Dashboards? Take a look at the following Blog, where we dive into a guide on how you can transform order data into actionable insights, optimizing dashboards for strategic decision-making using RisingWave. https://lnkd.in/eVEqWHas

📊 **Unlocking E-commerce Success with Data-Driven Metrics** 📈 Have you ever wondered about Vanity KPIs? In the dynamic world of e-commerce data analysis, it's essential to differentiate between impressive but shallow metrics and those that hold the key to business prosperity. Let's delve into a recent e-commerce data project where I meticulously navigated through: 🧹 **Data Cleansing and Transformation with Excel:** - Pristine data was sculpted through meticulous cleaning, addressing discrepancies and outliers. - Data transformations, including date formatting and dataset integration, yielded a structured, harmonious dataset. 📈 **Power BI-Powered Data Visualization:** - This transformed data found its purpose in Power BI. - The outcome? Engaging visualizations, comprising interactive charts and dashboards, showcasing pivotal e-commerce metrics. - The data was brought to life with filters and slicers, enhancing the interactivity. 📊 **Key Metrics for Insightful Decision-Making:** - Rather than being lured by Vanity KPIs, the focus remained on metrics that resonate with the project's objectives. These include year-to-date sales, profits, profit margins, order quantity, total sales, total profit, and quantity ordered. 📚 **Telling a Compelling Data-Driven Story:** - The visualizations weaved a captivating tale, unearthing trends, opportunities, and actionable insights vital for steering the e-commerce project toward success. Let's shift the spotlight from superficial to substantial metrics. Together, we can harness data to thrive in the e-commerce landscape! 💼📈 Adeyinka Amole Nonso I. Mujtaba Hassan Arokia Rajan Babatunde Adeyemo #DataAnalysis #Ecommerce #DataVisualization #LinkedIn #powerbi #googleanalytics #ziontechhub

Data is king in e-commerce. Ecommintellegentsia provides data-driven insights to optimize your online store and maximize profits. #ecommerceanalytics #datadriven #onlinestoreoptimization #ecommerce #dataanalysis #bigdata #ecommercemarketing #onlinestore #businessintelligence #customerinsights #datadrivenmarketing #marketinganalytics #conversionrateoptimization #ecommercedata #datadrivendecisions #ecommercegrowth #optimize #ecommerceperformance #profits #salesgrowth #customerjourney #cro #conversionrateoptimization #websitedesign #ecommintellegentsia #datastrategist #ecommerceinsights #datadrivenresults #maximizeprofits #ecommerceexperts #datadrivengrowth #increaseconversions #scalefaster #ecommerceconsultant

Hello Everyone 😊 ... Excited to share my latest Power BI dashboard creation, showcasing The e-commerce dashboard is a powerful tool that can help businesses understand their sales performance, identify trends, and make data-driven decisions .With interactive visuals and insightful analytics, this dashboard offers a comprehensive overview that empowers decision-making like never before. Dive deep into the data and uncover actionable insights to drive business success. briefly describe the main purpose or focus of the dashboard:- The dashboard includes several key components: <>Total ID: This likely refers to the total number of orders or transactions. In this case, there were 51.29K orders. <>Total sales, Total Quantity, Total Discount, Total Profit, Total Shipping: These are self-explanatory and provide a summary of the sales volume, quantity of items sold, discounts given, total profit, and shipping costs. <>Pick Any State, All: This allows you to filter sales data by state. The total for all states is given. <>Pick Any Month Name: You can also filter sales data by month. The data for each month is provided. <>Total Discount By Category: This shows the total discount given for each category of products. For example, the most discounts were given for 'Art' products (76.07%). <>Sum Of Quantity By Sub-Category: This shows the total quantity of items sold for each sub-category. For example, the most items were sold in the 'Storage' sub-category (78.94%). <>Sum Of Sales And Sum Of Profit: This shows the total sales and profit for the entire period. <>Average of Sales by Region: This shows the average sales for each region. <>Total Shipping Cost And Total Profit By Market: This shows the total shipping costs and profit for each market. <>Sum Of Sales By Country And Market: This shows the total sales for each country and market. 💡Please note:-That this is a simplified description based on the given context. for more detailed information, you may need to access the E-commerce platform directly. 👁 🙏 Check it out and let me know your thoughts!  Prince Kumar #dataanalyst #datascience #powerbidashboard #datavisualization #marketanalysis

🚀 Join us for an exciting journey with Forbytes’ COO Taras Demkovych as he shares how business intelligence (BI) can transform your e-commerce strategy and drive growth! 🔔 Key insights from the article: 📣 Accessing the right information is crucial for making smart decisions, but many online store owners struggle with managing scattered data. 📊 📣 BI is a game-changer for e-commerce. It helps you move from guesswork to data-driven decisions, giving you a competitive edge and unlocking new opportunities for digital transformation. Here’s how BI can help your e-commerce business: 🔹 Data-driven decisions: Gain insights from sales, customer behavior, and market trends. 🔹 Advanced analytics: Go beyond reports to forecast demand and manage inventory. 🔹 Real-time data: Optimize operations and spot inefficiencies instantly. 🔹 Better data quality: Centralize and clean your data for reliable insights. Read more about how you can grow from your data: https://lnkd.in/dRYqH9SE 💬 Feel free to share your comments and ask questions! #BusinessIntelligence #Ecommerce

How Business Intelligence is Changing the Face of E-commerce Table of Contents Introduction Understanding Business Intelligence and Analytics in E-commerce The Impact of Business Intelligence on E-commerce Case Studies: BI Success Stories in...

How Data Analytics Powers E-Commerce Success - https://lnkd.in/gzeMJU9f Stay ahead of the game - learn more about how data analytics powers e-commerce success in the informative narrative below.

https://lnkd.in/gQa-TUTq I write a blog about the topic in my point of view  I think that in these days there is an increasing demand for e-commerce. Therefore, we shop for everything we need from different electronic commerce companies and websites. In this case, e-commerce is becoming more widespread worldwide. Yes, it’s not only enough to produce great goods or provide excellent services while competing with other market players. In turn, this calls for a comprehensive knowledge of customer preferences as well as their behavior. Here come data analytics, in particular how big data is applied to blogging and how they help us apply big data in order to drive company growth and success. Yes I will tell about it. 👇

Hey connections I recently "Discover the transformative power of data analytics in e-commerce with my latest blog on the topic: 'The Role of Data Analytics in E-commerce: Leveraging Big Data for Business Growth.' In the fast-paced world of online shopping, using data analytics is like having a secret weapon for success. Nowadays, everything we do online, like clicking on a website or buying something, leaves behind a trail of data. For e-commerce businesses to do well in today's competitive market, they need to make the most of this data. Data analytics isn't just a fancy term; it's a powerful tool that helps businesses make smart decisions and find new opportunities. By looking at all this data, e-commerce companies can understand what customers like, what they don't, and what trends are popping up. This helps them create products, services, and marketing campaigns that really hit the mark, making customers happy and wanting to come back for more. Plus, data analytics lets businesses predict what might happen in the market and what customers might want next. This means they can be ready to adapt and change quickly to stay ahead of the game. One great thing about data analytics is that it's not just for big companies. Whether you're just starting out or you've been around for a while, anyone can use data to make their business better. With the right tools, even small businesses can use data to improve how they work and grow. And it's not just about selling more stuff. Data analytics helps with everything from managing how much stock to keep to making sure things get delivered on time. It's like having a super-smart assistant that helps with everything behind the scenes. In the end, using data analytics isn't just about doing okay; it's about making e-commerce businesses even better. By using data smartly, businesses can solve problems, take risks, and find new ways to succeed online. It's not just about understanding what's happened before; it's about using that knowledge to make the future of online shopping even brighter. #DataAnalytics #EcommerceGrowth #BigData #BusinessInsights #DigitalTransformation .

How Business Intelligence is Changing the Face of E-commerce Table of Contents Introduction Understanding Business Intelligence and Analytics in E-commerce The Impact of Business Intelligence on E-commerce Case Studies: BI Success Stories in...