Case Study
Client Overview
EDGE is an advanced technology group focused on developing disruptive solutions for defence and other strategic domains. Dedicated to innovation, EDGE accelerates the market entry of cutting-edge technologies to replace outdated systems and counter emerging threats efficiently.
EDGE Group faced significant challenges in managing financial and project data across multiple entities. The data was scattered across Excel sheets, requiring manual interventions for report generation using pivot tables. This process was time-consuming, error-prone, and lacked real-time visibility, making it difficult to generate accurate insights for decision-making.
Financial and project data was maintained in separate Excel files across entities.
Report generation required extensive manual intervention, increasing errors and inefficiencies.
Users needed entity-specific access, which was not effectively managed in the existing system.
The absence of automated dashboards limited timely decision-making.
Avenir Digital proposed and implemented a robust Group Reporting Portal leveraging Power BI and ASP.NET to streamline data management and reporting. The solution enabled EDGE to integrate financial and project data into a centralized platform, providing automated insights and real-time dashboards.
• Uploading existing financial data via Excel sheets.
• Web-based forms for recording project data, including:
– Client Projects
– Proposals
– Internal Projects
– Key Highlights
• Web-based forms replaced Excel sheets for data entry.
• Intuitive UI for seamless navigation and data input.
• Entity-wise access management for different users.
• Role-based permissions to enhance data security.
• Reduced manual intervention in report generation, saving significant time and effort.
• Automated data consolidation across all entities improved accuracy and speed.
• Real-time dashboards enabled leadership to make data-driven decisions.
• Custom KPIs provided deeper insights into financial and project performance.
Secure role-based access ensured data integrity and compliance with organizational policies.
The system was designed for scalability, allowing additional functionalities like AI-driven analytics and predictive modelling.
• Reduced manual intervention in report generation, saving significant time and effort.
• Automated data consolidation across all entities improved accuracy and speed.
• Real-time dashboards enabled leadership to make data-driven decisions.
• Custom KPIs provided deeper insights into financial and project performance.
Secure role-based access ensured data integrity and compliance with organizational policies.
The system was designed for scalability, allowing additional functionalities like AI-driven analytics and predictive modelling.
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