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Development of an Internal Analytics Dashboard for Enhanced Data Monitoring
  1. case
  2. Development of an Internal Analytics Dashboard for Enhanced Data Monitoring

Development of an Internal Analytics Dashboard for Enhanced Data Monitoring

innowise.com
Business services

Identifying Challenges in Data Visibility and Operational Efficiency

The client faces difficulties in aggregating and analyzing internal operational data, leading to suboptimal decision-making and limited insights into core business performance. They require a centralized system to monitor key metrics in real time and facilitate data-driven decisions.

About the Client

A mid-sized enterprise specializing in providing commercial consulting and operational solutions seeking to improve data visibility and decision-making processes.

Goals for Enhancing Data Monitoring and Business Insights

  • Design and implement a centralized internal analytics dashboard to provide real-time monitoring of key performance indicators.
  • Improve data aggregation from multiple internal sources to enable comprehensive analysis.
  • Increase operational decision-making efficiency by providing accessible, accurate, and timely data insights.
  • Achieve at least 20% reduction in decision latency and improve data reporting accuracy.

Core Functionalities for the Analytics Dashboard Development

  • Real-time visualization interface for key operational metrics.
  • Automated data aggregation from multiple internal systems and databases.
  • Customizable reporting tools with export options.
  • Configurable alert system for threshold breaches or anomaly detection.
  • User role-based access controls and security features.
  • Responsive design compatible with multiple devices and platforms.

Recommended Technologies and Architectural Approaches

Modern front-end frameworks (e.g., React or Angular) for dashboard UI.
Backend data processing with scalable database solutions (e.g., SQL/NoSQL databases).
Data integration via REST APIs or ETL pipelines.
Cloud infrastructure for scalable deployment and resilience.
Security protocols including OAuth 2.0 for authentication and data encryption.

External Systems and Data Sources for Seamless Data Flow

  • Internal operational databases containing performance metrics.
  • Existing enterprise data warehouses or analytics platforms.
  • Alerting and notification systems (email, SMS).

Critical Non-Functional System Requirements

  • System should support at least 1,000 concurrent users with optimal performance.
  • Data refresh rates should not exceed 5 minutes for real-time updates.
  • Uptime SLA of 99.9% for the dashboard system.
  • Robust security measures to ensure data privacy and integrity.
  • Scalable architecture to accommodate future data volume growth.

Projected Business Benefits and Performance Outcomes

The implementation of the internal analytics dashboard is expected to enhance operational decision-making efficiency, reducing decision latency by approximately 20%, improving data accuracy, and supporting scalable growth. These improvements will enable the organization to respond more swiftly to operational insights, leading to increased productivity and strategic agility.

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