Development of an internal analytics dashboard for data-driven decision making

The client faces difficulties in consolidating operational data into a unified platform, which hampers real-time insights and informed decision-making across departments. Current data siloing limits the ability to perform comprehensive analytics, impacting operational efficiency and strategic planning.

A mid-sized professional services firm leveraging data analytics to optimize operations and client engagement.

• Create a unified internal analytics dashboard providing real-time access to critical operational data.
• Improve decision-making speed and accuracy through comprehensive data visualization and reporting tools.
• Enable scalable data integration from multiple sources with minimal latency.
• Enhance data security and user access controls aligned with organizational policies.
• Achieve a measurable reduction in reporting time by at least 30% within the first six months.

• Data aggregation module to consolidate information from multiple internal sources.
• Interactive dashboards with real-time data visualization capabilities.
• Custom report generation and export functionalities.
• Role-based access control to ensure secure and appropriate data visibility.
• Automated data refresh and notification systems for updated insights.
• User authentication integration supporting organizational security policies.

• Internal CRM and ERP systems for operational data
• Existing user management systems for authentication and authorization
• Notification and alerting platforms for real-time updates

• System scalability to support increasing data volumes and user concurrency
• High system availability with 99.9% uptime
• Data security adhering to organizational and regulatory standards
• Optimal performance with dashboard load times below 2 seconds for critical views
• Ease of maintenance and extensibility for future feature additions

Successful implementation of the analytics dashboard is expected to streamline data access, reducing reporting time by at least 30%, enhance decision-making accuracy, and support scalable growth for the organization, ultimately leading to improved operational efficiency and data-driven strategies.