{"id":8696,"date":"2025-11-19T06:39:40","date_gmt":"2025-11-19T06:39:40","guid":{"rendered":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/?post_type=success-story&#038;p=8696"},"modified":"2026-03-26T06:27:10","modified_gmt":"2026-03-26T06:27:10","slug":"aws-powered-retail-analytics-modernization-for-leading-furniture-retailer","status":"publish","type":"success-story","link":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/","title":{"rendered":"AWS-Powered Retail Analytics Modernization for Leading Furniture Retailer"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row el_class=&#8221;casestudy-main-section&#8221;][vc_column][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner][vc_custom_heading text=&#8221;Overview&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;custom-heading&#8221;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para&#8221;]The customer is a leading furniture brand in India, known for ergonomic design, modern aesthetics, and premium craftsmanship. With a growing ecommerce presence alongside its established retail network, the organization manages large volumes of sales, customer, marketing, and inventory data across multiple digital platforms.<\/p>\n<p>To support their expanding online business and improve decision-making, the company needed a unified analytics platform capable of consolidating data scattered across Shopify, CRM, and marketing tools.<br \/>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;container&#8221;][vc_column][vc_row_inner el_class=&#8221;blueboxrow animation fadeTop casestudy-overview&#8221;][vc_column_inner el_class=&#8221;overview-block&#8221; width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;3684&#8243; img_size=&#8221;full&#8221; el_class=&#8221;overview-img&#8221;][vc_column_text el_class=&#8221;o-body-medium&#8221;]Industry\u200b[\/vc_column_text][vc_column_text css=&#8221;&#8221; el_class=&#8221;o-paragraph-medium&#8221;]Retail, Furniture Retail, Ecommerce[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;overview-block&#8221; width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;8449&#8243; img_size=&#8221;full&#8221; css=&#8221;&#8221; el_class=&#8221;overview-img&#8221;][vc_column_text css=&#8221;&#8221; el_class=&#8221;o-body-medium&#8221;]Challenge[\/vc_column_text][vc_column_text css=&#8221;&#8221; el_class=&#8221;o-paragraph-medium&#8221;]Shopify, CRM, and marketing data silos delayed reporting and limited a single source of truth.[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;overview-block&#8221; width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;3686&#8243; img_size=&#8221;full&#8221; el_class=&#8221;overview-img&#8221;][vc_column_text el_class=&#8221;o-body-medium&#8221;]Solution[\/vc_column_text][vc_column_text css=&#8221;&#8221; el_class=&#8221;o-paragraph-medium&#8221;]Retail Analytics, Data Modernization, AWS Data Analytics[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;casestudy-who&#8221;][vc_column][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner][vc_custom_heading text=&#8221;Key Objectives&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para common-listing&#8221;]The organization\u2019s primary goal was to achieve faster, more reliable visibility into ecommerce and retail performance. Leadership sought to eliminate reporting delays, unify fragmented datasets, and build trusted KPIs that would drive timely, informed decision-making. The key objectives were to:<\/p>\n<ul>\n<li>Consolidate ecommerce, CRM, and marketing data into a unified AWS data lake<\/li>\n<li>Automate daily and weekly reporting cycles<\/li>\n<li>Improve data accuracy, consistency, and governance<\/li>\n<li>Deliver real-time dashboards for leadership and regional teams<\/li>\n<li>Establish a scalable foundation for AI\/ML-driven personalization and forecasting<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;casestudy-who&#8221;][vc_column][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner][vc_custom_heading text=&#8221;The Challenge&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para common-listing&#8221;]<\/p>\n<p>Before modernization, the company struggled with data fragmentation across Shopify, CRM tools, and multiple marketing platforms. The absence of a centralized system created inconsistent reports, slower decision cycles, and limited visibility into true business performance.<\/p>\n<p>Leadership lacked a single source of truth, reporting processes took 2\u20133 days, and teams spent significant time manually aggregating data. The company needed a modern data architecture that would:<\/p>\n<ul>\n<li>Unify data from multiple disconnected sources<\/li>\n<li>Automate daily and weekly transformation pipelines<\/li>\n<li>Improve KPI accuracy and reliability<\/li>\n<li>Enable near real-time reporting and secure, role-based visibility<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row el_class=&#8221;casestudy-bg-gradient mt-200&#8243;][vc_column][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner el_class=&#8221;casestudy-who&#8221;][vc_custom_heading text=&#8221;The Solution&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para common-listing&#8221;]<\/p>\n<p>Rysun partnered with the customer to design and deploy a modern, serverless AWS analytics platform that automated data ingestion, strengthened governance, and delivered real-time insights through QuickSight dashboards.<\/p>\n<p>To achieve this, Rysun engineered a multi-layered architecture using AWS Glue, Amazon S3, Redshift, and QuickSight \u2014 creating a secure and scalable environment for unified reporting and advanced analytics.<\/p>\n<ul>\n<li><strong>Data Lake Foundation:<\/strong> A centralized Amazon S3 data lake was deployed with Raw, Curated, and Analytics zones, creating the company\u2019s new single source of truth.<\/li>\n<li><strong>Automated ETL &amp; Transformation:<\/strong> AWS Glue jobs automated ingestion, cleansing, and standardization across ecommerce, CRM, and marketing datasets \u2014 replacing manual consolidation efforts.<\/li>\n<li><strong>Analytics &amp; Visualization:<\/strong> Amazon Redshift enabled cross-domain analytics for revenue, customers, product performance, and regional visibility. Amazon QuickSight was implemented for interactive dashboards tailored to leadership, marketing, and operations teams.<\/li>\n<li><strong>Security &amp; Governance:<\/strong> IAM, CloudTrail, and CloudWatch enforced secure access, compliance, audit trails, and proactive monitoring of ingestion pipelines.<\/li>\n<li><strong>Role-Based Access:<\/strong> Dashboards and datasets were segmented by region and role, ensuring secure, context-specific insights for leadership, managers, and franchise teams.<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner el_class=&#8221;casestudy-who&#8221;][vc_custom_heading text=&#8221;The Benefits&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para common-listing&#8221;]The new AWS analytics platform transformed how business teams accessed, interpreted, and acted on ecommerce and retail insights. Reporting cycles that previously took several days were replaced with automated, near real-time dashboards that improved operational agility and decision velocity.<\/p>\n<p>Leadership now has accurate, unified visibility across online and offline channels, while improved data quality and governance ensure long-term trust and scalability.<\/p>\n<p>[\/vc_column_text][vc_custom_heading text=&#8221;Quantitative Impact&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h4&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para common-listing pt-0&#8243;]<\/p>\n<ul>\n<li>Reporting latency improved from 2\u20133 days to real-time, daily updates, enabling faster leadership decision-making.<\/li>\n<li>Data accuracy increased from ~80% to 98%, creating a trusted foundation for business insights.<\/li>\n<li>Manual reporting effort was reduced by 70%, allowing teams to focus on higher-value, revenue-driving activities.<\/li>\n<li>Dashboard refresh times dropped from over 1 hour to under 5 minutes, dramatically improving analytics responsiveness.<\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_custom_heading text=&#8221;Qualitative Impact&#8221; font_container=&#8221;tag:h4|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h4&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para common-listing pt-0&#8243;]<\/p>\n<ul>\n<li>Leadership visibility strengthened across online and offline channels<\/li>\n<li>Improved forecasting and marketing campaign measurement<\/li>\n<li>Better cross-team collaboration across sales, marketing, and operations<\/li>\n<li>Established a modern foundation for future AI\/ML-driven initiatives<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner el_class=&#8221;casestudy-who&#8221;][vc_custom_heading text=&#8221;Rysun is an AWS Advanced Tier Partner&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para common-listing&#8221;]Rysun is a CMMI Level 5-certified engineering and consulting partner specializing in AI, data modernization, and cloud transformation. As an AWS Advanced Tier Partner, Rysun helps enterprises modernize legacy systems and build scalable analytics platforms that deliver measurable outcomes. Our deep retail and ecommerce expertise enables fast, business-aligned implementations using the latest AWS services.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner el_class=&#8221;casestudy-who&#8221;][vc_custom_heading text=&#8221;Technology Stack&#8221; font_container=&#8221;tag:h3|text_align:left&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;o-header&#8211;h3&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para common-listing&#8221;]The solution was built using AWS serverless and managed services:<\/p>\n<ul>\n<li><strong>Data Lake Storage:<\/strong> Amazon S3<\/li>\n<li><strong>Data Integration &amp; ETL:<\/strong> AWS Glue<\/li>\n<li><strong>Data Warehousing:<\/strong> Amazon Redshift<\/li>\n<li><strong>Analytics &amp; Dashboards:<\/strong> Amazon QuickSight<\/li>\n<li><strong>Security &amp; Compliance:<\/strong> IAM, AWS KMS, CloudTrail<\/li>\n<li><strong>Monitoring &amp; Logging:<\/strong> Amazon CloudWatch<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row el_class=&#8221;casestudy-main-section&#8221;][vc_column][vc_row_inner el_class=&#8221;container animation fadeTop&#8221;][vc_column_inner][vc_custom_heading text=&#8221;Overview&#8221; use_theme_fonts=&#8221;yes&#8221; css=&#8221;&#8221; el_class=&#8221;custom-heading&#8221;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para&#8221;]The customer is a leading furniture brand in India, known for ergonomic design, modern aesthetics, and premium craftsmanship. With a growing ecommerce presence alongside its established retail network, the organization manages large volumes of sales, customer, marketing, and inventory data across multiple digital platforms. To [&hellip;]<\/p>\n","protected":false},"featured_media":8860,"menu_order":0,"template":"","format":"standard","class_list":["post-8696","success-story","type-success-story","status-publish","format-standard","has-post-thumbnail","hentry","story_category-data-modernization"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>AWS-Powered Ecommerce Analytics for Furniture Retailers<\/title>\r\n<meta name=\"description\" content=\"Modernized ecommerce analytics for leading furniture retailer using AWS Glue, Redshift, and QuickSight - achieving unified, real-time reporting, 98% data accuracy, and 70% less manual effort.\" \/>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"AWS-Powered Ecommerce Analytics for Furniture Retailers\" \/>\r\n<meta property=\"og:description\" content=\"Modernized ecommerce analytics for leading furniture retailer using AWS Glue, Redshift, and QuickSight - achieving unified, real-time reporting, 98% data accuracy, and 70% less manual effort.\" \/>\r\n<meta property=\"og:url\" content=\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/\" \/>\r\n<meta property=\"og:site_name\" content=\"Rysun\" \/>\r\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/rysunlabs\" \/>\r\n<meta property=\"article:modified_time\" content=\"2026-03-26T06:27:10+00:00\" \/>\r\n<meta property=\"og:image\" content=\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2025\/11\/Rysun-Success-Story-Banner-AWS-Powered-Ecommerce-Analytics-for-Furniture-Retailers.jpg\" \/>\r\n\t<meta property=\"og:image:width\" content=\"960\" \/>\r\n\t<meta property=\"og:image:height\" content=\"390\" \/>\r\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\r\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\r\n<meta name=\"twitter:site\" content=\"@RysunLabs\" \/>\r\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\r\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/\",\"url\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/\",\"name\":\"AWS-Powered Ecommerce Analytics for Furniture Retailers\",\"isPartOf\":{\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#website\"},\"primaryImageOfPage\":{\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#primaryimage\"},\"image\":{\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#primaryimage\"},\"thumbnailUrl\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2025\/11\/Rysun-Success-Story-Banner-AWS-Powered-Ecommerce-Analytics-for-Furniture-Retailers.jpg\",\"datePublished\":\"2025-11-19T06:39:40+00:00\",\"dateModified\":\"2026-03-26T06:27:10+00:00\",\"description\":\"Modernized ecommerce analytics for leading furniture retailer using AWS Glue, Redshift, and QuickSight - achieving unified, real-time reporting, 98% data accuracy, and 70% less manual effort.\",\"breadcrumb\":{\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#primaryimage\",\"url\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2025\/11\/Rysun-Success-Story-Banner-AWS-Powered-Ecommerce-Analytics-for-Furniture-Retailers.jpg\",\"contentUrl\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2025\/11\/Rysun-Success-Story-Banner-AWS-Powered-Ecommerce-Analytics-for-Furniture-Retailers.jpg\",\"width\":960,\"height\":390},{\"@type\":\"BreadcrumbList\",\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AWS-Powered Retail Analytics Modernization for Leading Furniture Retailer\"}]},{\"@type\":\"WebSite\",\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#website\",\"url\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/\",\"name\":\"Rysun\",\"description\":\"Infinite Possibilities\",\"publisher\":{\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#organization\",\"name\":\"Rysun\",\"url\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#\/schema\/logo\/image\/\",\"url\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2026\/01\/Rysun-Logo.png\",\"contentUrl\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2026\/01\/Rysun-Logo.png\",\"width\":184,\"height\":40,\"caption\":\"Rysun\"},\"image\":{\"@id\":\"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/rysunlabs\",\"https:\/\/x.com\/RysunLabs\",\"https:\/\/www.linkedin.com\/company\/rysun-labs\/\"]}]}<\/script>\r\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AWS-Powered Ecommerce Analytics for Furniture Retailers","description":"Modernized ecommerce analytics for leading furniture retailer using AWS Glue, Redshift, and QuickSight - achieving unified, real-time reporting, 98% data accuracy, and 70% less manual effort.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/","og_locale":"en_US","og_type":"article","og_title":"AWS-Powered Ecommerce Analytics for Furniture Retailers","og_description":"Modernized ecommerce analytics for leading furniture retailer using AWS Glue, Redshift, and QuickSight - achieving unified, real-time reporting, 98% data accuracy, and 70% less manual effort.","og_url":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/","og_site_name":"Rysun","article_publisher":"https:\/\/www.facebook.com\/rysunlabs","article_modified_time":"2026-03-26T06:27:10+00:00","og_image":[{"width":960,"height":390,"url":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2025\/11\/Rysun-Success-Story-Banner-AWS-Powered-Ecommerce-Analytics-for-Furniture-Retailers.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_site":"@RysunLabs","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/","url":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/","name":"AWS-Powered Ecommerce Analytics for Furniture Retailers","isPartOf":{"@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#website"},"primaryImageOfPage":{"@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#primaryimage"},"image":{"@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#primaryimage"},"thumbnailUrl":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2025\/11\/Rysun-Success-Story-Banner-AWS-Powered-Ecommerce-Analytics-for-Furniture-Retailers.jpg","datePublished":"2025-11-19T06:39:40+00:00","dateModified":"2026-03-26T06:27:10+00:00","description":"Modernized ecommerce analytics for leading furniture retailer using AWS Glue, Redshift, and QuickSight - achieving unified, real-time reporting, 98% data accuracy, and 70% less manual effort.","breadcrumb":{"@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#primaryimage","url":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2025\/11\/Rysun-Success-Story-Banner-AWS-Powered-Ecommerce-Analytics-for-Furniture-Retailers.jpg","contentUrl":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2025\/11\/Rysun-Success-Story-Banner-AWS-Powered-Ecommerce-Analytics-for-Furniture-Retailers.jpg","width":960,"height":390},{"@type":"BreadcrumbList","@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/aws-powered-retail-analytics-modernization-for-leading-furniture-retailer\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/"},{"@type":"ListItem","position":2,"name":"AWS-Powered Retail Analytics Modernization for Leading Furniture Retailer"}]},{"@type":"WebSite","@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#website","url":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/","name":"Rysun","description":"Infinite Possibilities","publisher":{"@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#organization","name":"Rysun","url":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#\/schema\/logo\/image\/","url":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2026\/01\/Rysun-Logo.png","contentUrl":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-content\/uploads\/2026\/01\/Rysun-Logo.png","width":184,"height":40,"caption":"Rysun"},"image":{"@id":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/rysunlabs","https:\/\/x.com\/RysunLabs","https:\/\/www.linkedin.com\/company\/rysun-labs\/"]}]}},"_links":{"self":[{"href":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-json\/wp\/v2\/success-story\/8696","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-json\/wp\/v2\/success-story"}],"about":[{"href":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-json\/wp\/v2\/types\/success-story"}],"version-history":[{"count":3,"href":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-json\/wp\/v2\/success-story\/8696\/revisions"}],"predecessor-version":[{"id":10313,"href":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-json\/wp\/v2\/success-story\/8696\/revisions\/10313"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-json\/wp\/v2\/media\/8860"}],"wp:attachment":[{"href":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/wp-json\/wp\/v2\/media?parent=8696"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}