Modernizing JADCO's Data and Analytics Ecosystem with Power BI & Dataverse
A strategic partnership to strengthen JADCO's analytics and reporting foundation, enabling scalable insights, greater operational efficiency, and faster, more informed decision-making.
- Client
- Al Jouf Agricultural Development Company (JADCO)
- Industry
- Agribusiness & Food Production
- Location
- Saudi Arabia
- Platform
- Microsoft Power BI & Dataverse
- Team
- Cluster Head: Yasir Barkat
Al Jouf Agricultural Development Company (JADCO) is a prominent player in Saudi Arabia's agricultural sector, specializing in the cultivation of olives, cereals, fruits, and vegetables. Committed to innovation and sustainability, JADCO plays a significant role in advancing the Kingdom's food security and agricultural development. Facing slow data processing and reporting inefficiencies, JADCO partnered with Devsinc to strengthen its data capabilities, streamline workflows, and enhance analytics and reporting, while enabling faster, more informed decision-making.
- Slow Report Availability. Users experienced slow report loading and delayed access to business insights due to inefficient data retrieval through OData.
- Refresh Failures & Support Overhead. Gateway connectivity issues caused scheduled and automatic refresh failures, resulting in recurring support incidents and manual intervention.
- Performance Degradation at Scale. The existing OData-based solution could not efficiently handle increasing data volumes, leading to longer refresh times and reduced BI performance.
- Delayed Reporting Process. Slow data extraction and unreliable refresh processes disrupted reporting workflows, delaying decision-making and reducing operational efficiency.
Devsinc modernized JADCO's reporting architecture by optimizing Power BI queries and centralizing data in Microsoft Dataverse, removing OData and gateway dependencies to improve performance, reliability, and scalability.
- Power BI Performance Optimization. Optimized queries, data models, and report performance, cutting data loading and processing times for large datasets.
- Microsoft Dataverse Integration. Centralized reporting data in Dataverse, removing the OData dependency with a scalable, high-performance analytics source.
- Cloud-Based Data Architecture. Migrated from gateway-dependent refreshes to a cloud-based architecture, ensuring reliable, automated scheduled refreshes.
- Data Integration & Transformation. Redesigned extraction and transformation processes to improve data quality, consistency, and reporting accuracy.
- Reporting & Business Intelligence Enhancement. Delivered optimized dashboards giving stakeholders timely, accurate insights for better decisions.
- Performance Monitoring & Ongoing Support. Provided continuous tuning and technical support for long-term stability and optimal performance.
- Data loading time: 75% Reduction in data loading time, down to roughly one hour for large datasets, following query optimization and Dataverse integration.
- Scheduled refresh reliability: 95% Successful scheduled refresh rate, after eliminating gateway dependencies and enabling direct cloud refreshes.
- Report generation speed: 60% Faster report generation, enabled by optimized data models and centralized data storage.
The new architecture gave JADCO a scalable, cloud-based reporting foundation capable of supporting future business growth, larger data volumes, and advanced analytics initiatives, while reducing ongoing maintenance effort and improving overall system reliability.
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