Development of an Internal Analytics Dashboard to Enhance Data-Driven Decision-Making

The client experiences difficulties in consolidating data from multiple sources into a unified internal dashboard, leading to delayed insights and sub-optimal decision-making. Manual processes hinder timely access to key operational metrics, affecting overall efficiency.

A mid-sized international consulting firm specializing in process optimization and data analytics, seeking to improve internal data visibility and operational insights.

• Develop a centralized internal analytics dashboard to provide real-time access to key performance indicators.
• Automate data collection and processing from disparate internal systems to improve data accuracy and reduce manual effort.
• Enhance decision-making efficiency by delivering customizable, intuitive data visualizations and reports.
• Achieve an increase in operational insight efficiency, aiming for a 30% reduction in report generation time.
• Ensure the scalability of the platform to accommodate future data sources and user growth.

• Real-time data aggregation from various internal databases and systems
• Customizable visual dashboards with charts, tables, and KPIs
• Automated data import and ETL processes to synchronize data sources
• User authentication and role-based access controls
• Export options for reports in various formats (PDF, Excel)
• Notification system for data anomalies and updates
• Scalable architecture supporting future data and user expansion

• Internal databases and ERP systems for data extraction
• Authentication provider for secure access
• Email/Notification services for alerts
• Data analytics platforms for advanced insights

• System uptime of 99.9% to ensure reliable access
• Dashboard load times under 2 seconds for large datasets
• Scalable infrastructure to support a 50% increase in concurrent users over 12 months
• Data security measures compliant with company policies and industry standards

The implementation of the internal analytics dashboard is expected to significantly improve operational decision-making efficiency, reducing report-generation time by approximately 30%, and providing real-time insights that enable proactive management. This will support better strategic planning and resource allocation, ultimately enhancing overall organizational performance.