Development of an Internal Analytics Dashboard for Enhanced Data Visualization and Reporting

The client faces difficulties in aggregating, analyzing, and visualizing complex operational and client data, which hampers timely insights and decision-making. Their existing systems lack comprehensive self-service analytics functionalities and are limited in scalability, leading to increased reliance on manual report generation and delayed insights.

A mid-sized enterprise specializing in consulting and professional services, seeking to improve data analysis, visualization, and reporting capabilities to support decision-making processes.

• Design and implement an internal analytics dashboard that consolidates data from multiple sources for real-time visualization.
• Enable self-service analytics to empower non-technical users with customizable reports and insights.
• Improve data accessibility, security, and scalability to support growing data volumes and user base.
• Reduce report generation time by at least 50%, increasing operational efficiency.
• Deliver actionable business insights to support strategic decision-making across departments.

• Data aggregation layer to connect and consolidate data from multiple internal sources.
• Interactive dashboards with real-time visualizations of KPIs and metrics.
• Self-service report builder allowing users to create, customize, and share reports without technical assistance.
• User access controls with role-based permissions to ensure data security.
• Automated data refresh and scheduled reporting functionalities.
• Mobile-responsive interface for accessibility across devices.

• ERP systems for financial and operational data
• CRM platforms for customer insights
• Internal databases and data lakes
• Authentication services for secure access

• System scalability to support growth in data volume and user count, aiming for a 2x increase within 2 years
• High availability with 99.9% uptime
• Data encryption both at rest and in transit
• Response times under 2 seconds for dashboard queries
• Compliance with data privacy regulations (e.g., GDPR, CCPA)

The new analytics platform is expected to reduce report creation time by over 50%, improve decision-making accuracy through real-time visualization, and enhance operational efficiency. It aims to enable the client to gain deeper insights into their operations, support strategic initiatives, and scale their data analysis capabilities as the organization grows.