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

The client faces difficulties in consolidating and analyzing large volumes of internal and external data, leading to suboptimal decision-making processes and delayed insights. Their current analytics setup lacks real-time capabilities and user-friendly visualization features, hindering effective strategy formulation.

A mid-sized technology consultancy specializing in digital transformation and analytics solutions serving global clients.

• Implement a scalable internal analytics dashboard capable of processing large datasets efficiently.
• Provide real-time data visualization and customizable reporting features to facilitate quick decision-making.
• Ensure secure data handling and compliance with relevant privacy standards.
• Increase user engagement with analytics tools, aiming for a 50% reduction in report generation time.
• Enhance data accessibility across departments with role-based access controls.

• Data Integration Module: consolidates data from various internal and external sources.
• Real-Time Data Processing Engine: ensures instant updates and live analytics capabilities.
• Customizable Dashboards: allows users to tailor views based on roles and preferences.
• Interactive Visualizations: includes charts, graphs, and maps for better data interpretation.
• Role-Based Access Control: manages user permissions and maintains data security.
• Automated Reporting: schedules and delivers periodic insights via email or app notifications.
• Mobile Compatibility: accessible on various devices for remote and on-the-go analysis.

• ERP and CRM systems for unified data access
• External data providers for market and industry insights
• Authentication systems for role management
• Email and notification services for automated reports

• System must support concurrent data processing of over one million records without performance degradation.
• Response time for user queries should not exceed 2 seconds under typical load.
• Data encryption both at rest and in transit to ensure compliance with privacy standards.
• System availability of 99.9%, ensuring minimal downtime.
• Scalable architecture to accommodate future data volume growth.

The new analytics platform is expected to reduce reporting and insight generation time by at least 50%, improve data-driven decision-making processes, and increase operational efficiency. Enhanced visualization and real-time analytics will lead to better strategic planning, ultimately supporting a projected 20% increase in overall business agility and competitiveness.