Interactive Amazon Product Insight Dashboard

@rajvkr32

Hi, I can build this Amazon sales dashboard around the actual business questions: which categories/products drive engagement and revenue? whether discounts improve performance, and where customer satisfaction differs. I will handle the Power Query cleanup, data model, DAX KPIs, discount-band analysis, decomposition tree, drill-downs, and product-level details, with a clean two-page executive layout. I focus on making the dashboard decision-oriented rather than visual-heavy, so the insights are immediately usable for pricing, product, and marketing decisions.

@axiomswb

Your two-page Amazon Product Insight Dashboard covering 1,351 products and 1.49bn interactions is exactly the kind of project where the data model either makes every slicer instant or breaks the whole experience. Here is my execution plan: Data Foundation: Power Query cleans and shapes the Amazon dataset, then I build a star schema rather than a flat table. With 1.49bn interaction rows, a star schema keeps DAX measures fast across every category, sub-category, and product name slicer simultaneously. Page 1 Executive Overview: KPI cards, donut chart by rating group, the satisfaction vs. discount scatter plot, decomposition tree drilling from average rating down to individual product, and the category ranking visual. All driven by DAX, not hardcoded values, so filtering by category updates every figure live. Page 2 Product Detail Table: Full product-level rows with engagement, satisfaction, and revenue columns tied to the same slicers, letting decision-makers move from the 406.8M total revenue summary to a single SKU in one click. Discount Intelligence Layer: I will visually flag the 20-40% sweet-spot band so the moderate-vs-deep discount story lands immediately without reading the Key Insights panel. One risk worth flagging: discount percentage is often missing or inconsistently formatted in Amazon exports, which would skew the scatter plot. I will handle that in Power Query before any measure touches it. Delivery: complete .pbix file in 4 days for USD 250.

@richard031596

You need a Power BI dashboard that transforms raw Amazon product data into actionable insights through clean modeling, interactive visuals, and decision-focused reporting. I can build the data model, DAX measures, Power Query transformations, and interactive dashboard experience required for product, pricing, and discount analysis. I have built analytics solutions using data modeling, KPI dashboards, and visualization workflows where complex datasets were converted into clear business reporting. My experience with Python data processing and PostgreSQL-based analytics pipelines also helps ensure accurate data preparation before visualization. I can create the KPI cards, drill-down analysis, decomposition views, filters, and product-level detail pages while keeping the dashboard easy for business users to interpret.

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi Client, Thank you for checking my proposal and sharing the detailed project brief. I can build your interactive Power BI dashboard using Power BI, DAX, and Power Query with a clear, actionable design. I will deliver: • KPI cards showcasing product performance metrics and engagement stats • Customer Engagement by Rating Group donut chart for visual insights • Product Hierarchy by Customer Satisfaction for strategic categorization • Satisfaction vs. Discount % scatter plot to analyze pricing impact • Decomposition Tree for in-depth product analysis • Revenue insights based on discount bands, highlighting optimal pricing strategies • Key Insights panel offering straightforward takeaways for decision-makers • Interactive filters for tailored data exploration You will also receive: • Comprehensive user documentation for easy navigation • Ongoing support to ensure dashboard effectiveness I am confident I can execute your vision professionally and efficiently. Looking forward to discussing timeline and next steps. Best regards, Chirag Pipal

@TheSecondSource

Hey! We are a team of 62 Power BI specialists with 9+ years of experience building interactive dashboards, DAX models, Power Query transformations, and decision-focused data visualizations. We can turn your Amazon product data into a clean two-page dashboard with strong drill-downs and actionable insights. Here’s how we can help: * Build KPI cards for products, engagement, pricing, and discounts * Create interactive rating, discount, revenue, and category visuals * Add decomposition trees and product-level drill-down analysis * Deliver slicers, clear filters, and decision-ready insights Could you clarify whether the existing Amazon dataset already contains the revenue and engagement fields needed for these calculations? Also, do you want the two-page layout to follow your described structure exactly, or should we refine the visual hierarchy around the most important seller decisions?

@albert1025dev

==== Hi - Albert here ==== **“INTERACTIVE TWO-PAGE POWER BI DASHBOARD FOR AMAZON PRODUCT INSIGHTS”** — Transform product-level data into clear insights on customer engagement, satisfaction, pricing, and discount performance. I can structure the dashboard with KPI cards, rating-group engagement, category rankings, satisfaction-versus-discount analysis, a decomposition tree, discount-band comparisons, and a detailed product table. I’ll use Power Query for cleaning, a suitable data model, and DAX measures for consistent calculations. Interactive slicers, a Clear Filters button, and a plain-language insights panel will help users explore the results. I’ll validate totals and test filtering across both pages before delivery. Can you share the source dataset and screenshots or reference layout you want the dashboard to follow? Looking forward to work with you

@Microlent

Hello, I am Dr. Rajesh Rolen, PhD in Computer Science & Engineering, with experience of over 20+ years in Power BI, Data Visualization As a preferred freelancer in the top 1%, I have done 400+ projects here on freelancer.com, I have 4.9 ratings out of 5 on average, which showcases my quality of work and timely delivery. Key Highlights: - Free Hosting Support on the Cloud or any desired platform. - Free 3 months of post-delivery support to ensure that our client doesn’t face any challenges after the launch of the project. - Free Dedicated tester on projects to ensure quality delivery, so clients don’t need to act as a tester. - 10+ Years experience UI/UX team to ensure intuitive UI. Portfolio: https://www.freelancer.com/u/Microlent Please open the chat and send me a message, so we can have a more detailed discussion about the project to give you the project timeline and cost. Thank you for considering my services. I look forward to engaging in a productive conversation and understanding how I can be of assistance in bringing your project to life. Regards Rajesh Rolen

@pvsysgroupinc

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@gunjan1711

- I can build this interactive two-page Power BI dashboard using my experience with Power BI, DAX, Power Query, data modeling and sales analytics. - I have developed sales dashboards using API-based data, including data cleaning, transformation, optimized data models, DAX measures, KPIs, filters and drill-down functionality. - I can structure the dashboard around product performance, customer engagement, pricing, discounts, revenue and satisfaction metrics. - I can create interactive KPI cards, slicers, scatter plots, decomposition-style analysis, category comparisons and detailed product-level views based on the available dataset. - My experience includes analyzing category, region, SKU and sales trends to identify growth opportunities and underperforming products. - I can focus on a clean two-page layout with intuitive navigation, clear business insights and a detailed underlying data view. - I will ensure the Power Query transformations, data model and DAX calculations are structured for accuracy and easy future maintenance. Reference work is available in my profile.

@kafupeople

Hi I've built Power BI product and e-commerce dashboards with KPI cards, drill-down analysis, slicers, decomposition trees and detailed product tables like the two-page report in your screenshots. I'll recreate the Dashboard and Details experience with Power Query cleanup, a clean data model and DAX measures for catalogue size, engagement, ratings, pricing, discounts and revenue. The date/category/sub-category/product filters and Clear Filters action will update the KPI cards, charts, hierarchy and product table consistently. I'll also validate the discount-band analysis behind the 20–40% revenue insight instead of hardcoding it, and reconcile the filtered Details totals back to the headline KPIs before delivery. You'll receive the finished PBIX with the requested visuals, interactions, conditional formatting and business-insight section. Thanks, Belal

@alfatrade2

Are the donut rating bands fixed cuts such as under 4 and 4-5, or splits computed on the 1,351-product file? Plotting satisfaction against discount at product level will not show the effect you want, since 1,351 dots swamp the category pattern behind that 46.7% average. Raw procurement listings were classified in two stages on a monitoring system I built, each source behind its own adapter, and the same care applies once those band edges are fixed.

@selaaf

Moderate discounts out-earning the 50%+ ones is the story your dashboard should show first, and the discount band charts can make that obvious at a glance. I would first send you page one with the KPI cards and discount band charts built on your data, so you can check the numbers early. Then I would add the decomposition tree, the details table and the slicers, with a clear filters button. Is the Amazon data in one file already, or does it need cleaning first? Send it over when it suits you and I will take a look. Sela

@TeraByte26

Hi Ahmed I will build the two‑page Power BI dashboard you described – KPI cards, donut chart, hierarchy, scatter, decomposition tree, discount/revenue visuals, insights panel and product table with filters and clear‑filters button. I’ll deliver the complete file within 5 days for $200. I can start now and share a free preview page. Let me know if any data source format differs. Waiting for your response in chat! Best Regards.

@andrem939

Hello, I am a skilled full stack software engineer with extensive experience in Power BI and data visualization. I can transform raw Amazon product data into actionable insights through an interactive dashboard that meets your specifications. My expertise in DAX, data modeling, and UX/UI design ensures that the final product will be user-friendly and informative. I have a proven track record of delivering high-quality dashboards and reports that support business decisions. I am confident in my ability to deliver a solution that not only meets but exceeds your expectations. Thanks!

@GenomyR

Hi, I can build your two-page Power BI dashboard to analyse your 1,351 Amazon products, tracking the 1.49bn interactions, pricing bands, and category hierarchies cleanly. I will structure this as an executive BI reporting system using a star-schema data model in Power BI. I will write optimised DAX measures for your KPI cards, satisfaction-to-discount scatter plots, and decomposition tree drill-downs so page interactions remain instantaneous. The details page will feature your full product-level table with revenue metrics alongside synchronised category, sub-category, and date slicers, including a bookmark-based filter reset button. Milestone 1 will include the validated data model and interactive KPI preview. I have priced this aggressively for an immediate 24-hour turnaround to secure a quick win and earn a 5-star review from you. Do you have the raw Amazon data ready in a CSV or Excel file, or is it hosted in an external database? Best regards, Tumisang

@zubairmohd786

Leveraging my robust technical backgrounds and data-driven approach, I'm your go-to professional for this powerfully transformative project. Ranging from designing the most appropriate data model to carrying out detailed KPI design, dashboard UX/UI design to telling a comprehensible story with your unique data, I have the skill set required for every phase of this project. Moreover, I have an impeccable command over Power BI, DAX and Power Query which will be instrumental in delivering clean and reliable data insights. Having built fast, scalable and high-performing web and mobile applications for over a decade, one thing that sets me apart is my penchant for delivering quality results on time and within budget. It goes without saying that my commitment to deadliness is as unassailable as my quality of work. Evidently suggested by your project's requirement to transform raw Amazon product data into clear, actionable insights, it is essential you hire someone with a proven track record in meeting deadlines without compromising quality- and that's precisely what I bring on board.

@varcharsystems

Hey there, The challenge is not just creating Power BI visuals, but turning Amazon product data into a dashboard that clearly connects pricing, discounts, engagement, satisfaction, and revenue to actual business decisions. Our Approach: I would build the two-page dashboard with DAX measures, Power Query transformations, a clean data model, KPI cards, interactive slicers, decomposition analysis, product-level details, and a clear insights section. I would keep the UX simple and make the report easy to filter, explore, and maintain. Similar Example: Amazon Seller Central: a useful reference for the type of product, sales, and performance data this dashboard can help organize and analyze. Questions: Is your Amazon dataset already cleaned, or should I handle the Power Query preparation? Do you already have a preferred visual theme or should I design the dashboard from scratch? Kindly reply with any questions, or let us know if you have 5 minutes for a brief call today to map out our next steps. Regards, Mustafa Zaidi

@MrShortFlow

The job needs a two-page Power BI dashboard turning the 1,351-product Amazon dataset into the KPI cards, charts, decomposition tree, and details page described, with filters that actually sync across both pages. Delivery steps: clean and model the data in Power Query (handling price, discount, rating, engagement fields), build the data model and DAX measures for the KPIs and discount-band logic, then build both pages with the visuals and filters listed, finishing with the Key Insights panel text. v1 within 2 working days, covering page 1 (KPIs, donut, hierarchy, scatter, insights panel) for your review before page 2 and the details table are finalized. Two first decisions: I would model the data as a star schema with one fact table (orders/engagement) and separate dimension tables for Category, Sub-category, and Date, so the decomposition tree and slicers stay fast and consistent across both pages. Second, I would bucket discount into fixed bands (0-20, 20-40, 40-60, 60+) rather than dynamic bins, since the insight about moderate discounts outperforming deep ones needs stable, comparable groups for the revenue chart. I do not promise to source or validate the underlying raw Amazon data itself, only to model and visualize what is supplied. Can you share the dataset file (CSV/Excel) now so I can start the Power Query step. Price: 85 USD fixed · Timeline: 3 working days from access/brief Konrad

@EthanKCK

DATA DRIVEN DECISIONS: Transform raw data into insights. I specialize in creating interactive Power BI dashboards tailored to your needs. For your Amazon product insight project, I’ll focus on visualizing key metrics like customer engagement and revenue impact through intuitive KPI cards and scatter plots. By leveraging DAX and Power Query, I'll ensure your data is clean and accurately represented. The decomposition tree will allow users to drill down from high-level metrics to specific products, providing valuable insights at every level. Additionally, the clear insights panel will summarize findings in plain language for decision-makers, addressing your requirement for actionable takeaways. What specific data sources or formats should I prepare for your dashboard's initial setup? Let’s turn your data into a strategic advantage. Kind regards, Ethan