Development of an Internal Analytics Dashboard for Enhanced Business Insights

The client faces difficulties in consolidating diverse data sources into a single view, hindering timely decision-making and operational responsiveness. Their current systems lack integrated analytics, leading to missed opportunities for insights and process optimization.

A mid-sized consulting firm specializing in digital transformation and enterprise solutions, seeking to centralize and visualize key operational data to improve decision-making and operational efficiency.

• Design and implement a unified analytics dashboard consolidating multiple data sources.
• Enable real-time data visualization to support faster decision-making.
• Ensure secure and scalable access for relevant stakeholders.
• Improve data accuracy and consistency across reporting tools.
• Achieve a measurable enhancement in operational efficiency and decision cycle speed.

• Data Integration Module: Connects and consolidates data from various enterprise systems such as CRM, ERP, and finance applications.
• Real-Time Data Processing: Supports live updates enabling immediate insights.
• Customizable Visualization Widgets: Allows users to configure dashboards to their specific needs.
• User Access Control: Implements role-based permissions ensuring data security.
• Automated Reporting: Generates scheduled reports and alerts for key metrics.
• Responsive Design: Ensures platform accessibility across desktop and mobile devices.

• CRM systems
• ERP platforms
• Financial databases
• Internal APIs for data exchange

• System must support concurrent user access with minimum latency (under 2 seconds for data refresh).
• Scalable architecture to handle increasing data volume and user load over time.
• Data encryption both in transit and at rest to ensure compliance with security standards.
• High availability setup with 99.9% uptime SLA.

The implementation of the internal analytics dashboard is expected to significantly enhance operational efficiency by reducing data consolidation time, improving decision-making agility, and providing real-time insights—aiming for at least a 20% reduction in reporting latency and a measurable increase in process productivity.