Development of a Custom Analytics Dashboard for Enterprise Data Management

The client faces difficulties in consolidating disparate data sources, gaining real-time insights, and efficiently managing digital solutions aligned with complex industry standards. These challenges hinder quick decision-making and reduce operational efficiency.

A mid-sized enterprise providing IT consulting, custom software solutions, and system integrations, aiming to optimize internal data processes and client reporting capabilities.

• Implement a comprehensive internal analytics dashboard to provide real-time visibility into project performance and operational metrics.
• Automate data collection and processing from multiple enterprise systems to reduce manual effort and errors.
• Ensure scalability of the system to support future growth and increased data volume.
• Improve decision-making speed and data accuracy to support business growth and client satisfaction.

• Secure data ingestion pipeline supporting multiple sources with automation and error handling.
• Real-time data processing and analytics engine to generate up-to-date reports and dashboards.
• Role-based access controls ensuring data security and compliance with industry standards.
• Customizable visualization modules for diverse metrics and KPIs relevant to IT consulting and system integration projects.
• Automated alerting and notification system for operational anomalies and performance thresholds.
• Scalable cloud infrastructure supporting growth in data volume and user load.

• Enterprise resource planning (ERP) systems
• Customer relationship management (CRM) platforms
• Existing internal analytics and reporting tools
• External data sources as applicable

• System to support at least 100 concurrent users
• Data processing latency under 2 seconds for real-time metrics
• Compliance with industry security standards (e.g., ISO, GDPR)
• High availability architecture with 99.9% uptime

The new analytics dashboard is expected to reduce data processing time by 30%, increase reporting accuracy, and improve operational decision-making speed, thereby enhancing overall client satisfaction and supporting scalable growth.