Development of a Robust Internal Analytics Dashboard for Data-Driven Decision Making

The client faces difficulties in consolidating and visualizing internal and client data efficiently, leading to delays in reporting, limited insights for decision-making, and suboptimal client engagement due to lack of real-time analytics.

A mid-sized enterprise specializing in providing professional services with a need for enhanced data visualization and client analytics.

• Develop an internal analytics dashboard that consolidates data from multiple internal systems into a unified interface.
• Enhance data accessibility and visualization capabilities to facilitate real-time insights.
• Improve reporting efficiency, reducing manual effort by at least 50%.
• Enable customizable dashboards for different internal teams and client accounts.
• Support scalability to handle increasing data volume and user base over the next 3 years.

• Data Integration Module: Connectors for internal databases, APIs, and external data sources.
• Real-Time Data Processing: Streamline data ingestion and update visualizations dynamically.
• Interactive Dashboards: Customizable and drill-down reports for various user roles.
• User Management and Access Control: Secure login and role-based permission management.
• Export and Sharing Options: Generate reports in multiple formats and share via secure links.
• Notification System: Alerts for data anomalies or predefined KPIs thresholds.

• CRM and internal database systems for client and operational data
• External API services for real-time market data
• Authentication and identity management systems

• System uptime of at least 99.9%
• Data processing latency under 2 seconds for dashboard updates
• Role-based access controls ensuring data security
• Scalable architecture supporting at least 10,000 concurrent users

The implementation of the internal analytics dashboard is expected to reduce reporting time by over 50%, improve timely decision-making, boost internal operational efficiency, and enhance client satisfaction through more transparent and accessible data insights.