Development of a Scalable Data Analytics Dashboard for Operational Insights

The client faces difficulty consolidating and analyzing large volumes of operational data from multiple sources, leading to delays in decision-making and limited insights into business performance.

A mid-sized enterprise providing consulting and operational support services to a diverse client base seeking enhanced data analysis capabilities.

• Develop an internal analytics dashboard to centralize data visualization and reporting capabilities.
• Automate data ingestion from various sources to ensure real-time or near-real-time insights.
• Improve data accessibility for stakeholders across departments, enabling faster decision-making.
• Achieve scalable architecture to handle increasing data volumes and user loads efficiently.

• Secure data ingestion pipelines that pull data from multiple internal and external sources with automated updates.
• An interactive, user-friendly dashboard interface offering customizable charts, tables, and KPIs.
• Role-based access controls to ensure data security and appropriate user permissions.
• Real-time data processing capabilities to reflect the latest operational metrics.
• Export options for reports in various formats (PDF, Excel, etc.) for offline analysis.

• Data warehouses or lakes for centralized data storage
• APIs for real-time data feeds from internal operational systems
• Authentication services for secure login and user management

• System should support at least 200 concurrent users with minimal latency.
• Data processing latency must be under 5 minutes for real-time metrics.
• Implement robust security measures including encryption and role-based access.
• System availability target of 99.9% uptime.

The implementation of the centralized analytics dashboard is expected to increase operational decision speed by approximately 35%, improve data accuracy and accessibility, and support the client’s scalable growth by accommodating increasing data volumes and user requirements.