{"id":10667,"date":"2026-06-19T00:00:41","date_gmt":"2026-06-19T00:00:41","guid":{"rendered":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/?post_type=success-story&#038;p=10667"},"modified":"2026-06-22T13:02:07","modified_gmt":"2026-06-22T13:02:07","slug":"building-a-future-ready-analytics-platform-for-a-leading-lighting-manufacturer","status":"publish","type":"success-story","link":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/success-story\/building-a-future-ready-analytics-platform-for-a-leading-lighting-manufacturer\/","title":{"rendered":"Building a Future-Ready Analytics Platform for a Leading Lighting Manufacturer"},"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;]A leading US-based designer lighting company with a distribution network spanning 300+ locations sought to modernize its data ecosystem by transitioning from Microsoft SalesPad to Microsoft Dynamics 365 (D365). The organization required a scalable, cloud-based platform that could support growing business demands while improving reporting capabilities, operational efficiency, and decision-making. Rysun partnered with the client to execute a comprehensive data migration, reporting transformation, and analytics modernization initiative. [\/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;]Manufacturing \/ Lighting Distribution[\/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;]Complex SalesPad data migration, inefficient reporting architecture, limited real-time visibility, and scalability constraints in data and analytics operations[\/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;]Microsoft Dynamics 365 implementation, Azure Data Factory-based ETL automation, Synapse Analytics-powered data processing, SQL reporting optimization, and Power BI self-service analytics dashboards[\/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 el_class=&#8221;casestudy-who&#8221;][vc_custom_heading text=&#8221;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;]The client faced several challenges in its existing environment:<\/p>\n<ul>\n<li><strong>Complex Data Relationships:<\/strong> SalesPad&#8217;s intricate data structure and interdependent relationships made migration and reporting highly complex.<\/li>\n<li><strong>Scalability Constraints:<\/strong> Existing reporting architecture relied on a large hierarchy of SQL views that had become difficult to maintain and scale.<\/li>\n<li><strong>Reporting Limitations:<\/strong> Business users lacked access to real-time insights and often depended on manual processes and IT support for reporting needs.<\/li>\n<li><strong>Data Integration Issues:<\/strong> Ensuring seamless data movement while maintaining data integrity and minimizing operational disruption was critical.<\/li>\n<li><strong>Stakeholder Alignment:<\/strong> Diverse reporting requirements across business functions required extensive collaboration and validation.<\/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;Rysun\u2019s 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;h4&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;common-para common-listing&#8221;]Rysun delivered an end-to-end data modernization solution centered around Microsoft Dynamics 365 and a robust analytics framework. [\/vc_column_text][vc_custom_heading text=&#8221;Data Migration &amp; Transformation&#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&#8221;]<\/p>\n<ul>\n<li>Conducted a detailed assessment and mapping of the SalesPad schema to D365.<\/li>\n<li>Preserved complex business relationships while transforming data into a more accessible and reporting-friendly structure.<\/li>\n<li>Leveraged Azure Data Factory (ADF) to automate data extraction, transformation, and loading processes.<\/li>\n<li>Implemented data validation checkpoints to monitor record consistency and identify anomalies during ETL execution.<\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_custom_heading text=&#8221;Reporting &amp; Analytics Modernization&#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&#8221;]<\/p>\n<ul>\n<li>Developed optimized reporting entities and data models tailored to business requirements.<\/li>\n<li>Utilized SQL Server and Synapse Analytics to support high-performance data processing and validation.<\/li>\n<li>Converted complex hierarchical SQL views into more efficient stored procedures and materialized views.<\/li>\n<li>Built interactive Power BI dashboards with drill-through capabilities, DAX calculations, automated refresh schedules, and role-based security.<\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_custom_heading text=&#8221;Why This Approach&#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&#8221;]<\/p>\n<ul>\n<li>Cloud-native D365 architecture provided long-term scalability and flexibility.<\/li>\n<li>Automated data pipelines reduced manual effort and improved data consistency.<\/li>\n<li>High-performance reporting infrastructure enabled near real-time analytics.<\/li>\n<li>Self-service dashboards empowered business users with direct access to actionable insights.<\/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;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 implementation delivered significant business value:<\/p>\n<ul>\n<li><strong>Improved Operational Efficiency:<\/strong> Automated workflows reduced manual intervention and minimized errors.<\/li>\n<li><strong>Real-Time Business Visibility:<\/strong> Power BI dashboards provided up-to-date insights for faster decision-making.<\/li>\n<li><strong>Enhanced Reporting Performance:<\/strong> Optimized data models, indexing strategies, and materialized views improved query response times and reporting efficiency.<\/li>\n<li><strong>Seamless Data Integration:<\/strong> Automated pipelines ensured reliable data synchronization across systems.<\/li>\n<li><strong>Future-Ready Scalability:<\/strong> The cloud-based architecture positioned the organization to support future growth without infrastructure limitations.<\/li>\n<li><strong>Empowered Business Users:<\/strong> Self-service analytics reduced dependency on IT teams and accelerated access to critical information.<\/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;Impact&#8221; 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