Overview
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.

Industry
Manufacturing / Lighting Distribution

Challenge
Complex SalesPad data migration, inefficient reporting architecture, limited real-time visibility, and scalability constraints in data and analytics operations

Solution
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
Challenge
The client faced several challenges in its existing environment:
- Complex Data Relationships: SalesPad’s intricate data structure and interdependent relationships made migration and reporting highly complex.
- Scalability Constraints: Existing reporting architecture relied on a large hierarchy of SQL views that had become difficult to maintain and scale.
- Reporting Limitations: Business users lacked access to real-time insights and often depended on manual processes and IT support for reporting needs.
- Data Integration Issues: Ensuring seamless data movement while maintaining data integrity and minimizing operational disruption was critical.
- Stakeholder Alignment: Diverse reporting requirements across business functions required extensive collaboration and validation.
Rysun’s Solution
Rysun delivered an end-to-end data modernization solution centered around Microsoft Dynamics 365 and a robust analytics framework.
Data Migration & Transformation
- Conducted a detailed assessment and mapping of the SalesPad schema to D365.
- Preserved complex business relationships while transforming data into a more accessible and reporting-friendly structure.
- Leveraged Azure Data Factory (ADF) to automate data extraction, transformation, and loading processes.
- Implemented data validation checkpoints to monitor record consistency and identify anomalies during ETL execution.
Reporting & Analytics Modernization
- Developed optimized reporting entities and data models tailored to business requirements.
- Utilized SQL Server and Synapse Analytics to support high-performance data processing and validation.
- Converted complex hierarchical SQL views into more efficient stored procedures and materialized views.
- Built interactive Power BI dashboards with drill-through capabilities, DAX calculations, automated refresh schedules, and role-based security.
Why This Approach
- Cloud-native D365 architecture provided long-term scalability and flexibility.
- Automated data pipelines reduced manual effort and improved data consistency.
- High-performance reporting infrastructure enabled near real-time analytics.
- Self-service dashboards empowered business users with direct access to actionable insights.
Benefits
The implementation delivered significant business value:
- Improved Operational Efficiency: Automated workflows reduced manual intervention and minimized errors.
- Real-Time Business Visibility: Power BI dashboards provided up-to-date insights for faster decision-making.
- Enhanced Reporting Performance: Optimized data models, indexing strategies, and materialized views improved query response times and reporting efficiency.
- Seamless Data Integration: Automated pipelines ensured reliable data synchronization across systems.
- Future-Ready Scalability: The cloud-based architecture positioned the organization to support future growth without infrastructure limitations.
- Empowered Business Users: Self-service analytics reduced dependency on IT teams and accelerated access to critical information.
Impact
- Successfully migrated from SalesPad to Microsoft Dynamics 365, creating a modern and scalable data ecosystem.
- Transformed legacy reporting infrastructure into an automated, insight-driven platform.
- Streamlined data operations through automated integration and data processing workflows.
- Enhanced reporting capabilities with optimized data models and self-service analytics.
- Enabled real-time visibility and faster decision-making across the organization.
- Improved operational efficiency by reducing manual reporting efforts and IT dependency.
- Established a future-ready, cloud-based foundation to support continued business growth.
- Maximized the value of enterprise data through improved accessibility, reliability, and performance.
