Development of a Custom Analytics Dashboard for Enhanced Business Insights

The client faced difficulties in consolidating multiple data sources into a single platform, leading to delayed insights and reduced operational efficiency. Their existing systems lacked real-time analytics capabilities, hindering timely decision-making and strategic planning.

A mid-sized consulting firm providing specialized market analysis and strategic planning services seeking to improve data-driven decision making.

• Create a centralized internal analytics dashboard to unify data from various sources.
• Enable real-time data processing and visualization to support timely decision-making.
• Improve data accessibility and usability across departments, reducing report generation time by at least 30%.
• Enhance data security and user access control to protect sensitive business information.
• Achieve scalable architecture to accommodate future data growth and feature expansion.

• Data Integration Module: Connects and consolidates data from diverse sources such as CRM, ERP, and third-party APIs.
• Real-Time Analytics Engine: Processes incoming data streams to provide up-to-the-minute insights.
• Interactive Visualization Tools: Enables users to create, modify, and share custom dashboards and reports.
• User Management & Security Layer: Implements role-based access controls, encryption, and audit logging.
• Scalability & Performance Optimization: Ensures system remains responsive under increasing data loads and user activity.

• CRM systems for customer data
• ERP systems for operational data
• External APIs for market and competitor information
• Authentication systems for secure login and role management

• System should support at least 10,000 concurrent users with minimal latency.
• Data refresh rate to support real-time analytics with a maximum delay of 1 minute.
• Compliance with industry-standard security protocols (e.g., GDPR, ISO 27001).
• High availability setup with 99.9% uptime SLA.

The implementation aims to reduce reporting and data analysis time by至少 30%, enhance decision-making agility with real-time insights, and strengthen data security. Scalability features will future-proof the platform, supporting growth and increased data volume, ultimately leading to improved operational efficiency and better strategic outcomes.