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

Development of an Internal Analytics Dashboard for Enhanced Data Visibility

symfa.com
Business services

Identified Challenges Faced by the Client in Data Management and Reporting

The client struggled with fragmented data sources, limited real-time analytics capabilities, and inefficient data reporting processes, hindering timely decision-making and client service delivery.

About the Client

A mid-sized enterprise specializing in providing consulting and analytical services, seeking data-driven insights to improve operational efficiency and client reporting.

Goals and Expected Outcomes for the Analytics Dashboard Development

  • Implement a centralized analytics platform to consolidate diverse data sources.
  • Enable real-time data processing and visualization to support swift decision-making.
  • Improve reporting efficiency, reducing report generation time by over 50%.
  • Enhance data accuracy and security to ensure compliance and stakeholder trust.
  • Provide customizable dashboards for different user roles to facilitate targeted insights.
  • Achieve measurable improvements in operational efficiency and client satisfaction.

Core Functional Capabilities for the Analytics Platform

  • Dashboard interface with interactive, customizable visualizations
  • Data aggregation engine integrating multiple internal and external data sources
  • Real-time data processing and live monitoring modules
  • Role-based access controls and permissions management
  • Automated report generation with scheduling options
  • Export features supporting various formats (PDF, Excel, CSV)
  • Alerts and notifications for critical data thresholds
  • Audit logs and data activity tracking

Preferred Technology Stack and Architectural Approaches

Cloud-based data warehousing (e.g., AWS, Azure, or GCP)
Modern web frameworks for dashboard development (e.g., React, Angular)
Real-time data streaming and processing (e.g., Kafka, Redis Streams)
Secure authentication protocols (e.g., OAuth 2.0, SAML)

External System Integration Needs

  • Enterprise data sources such as CRM, ERP, and analytics platforms
  • External APIs for live data feeds
  • Company's existing security and identity management systems
  • Reporting and export tools

Essential Non-Functional System Requirements

  • Scalability to support increasing data volumes and user load, targeting at least 10x growth over 3 years
  • High availability with 99.9% uptime
  • Data security compliant with applicable standards (e.g., GDPR, HIPAA if applicable)
  • System response times within 2 seconds for most dashboard interactions
  • Robust data encryption both at rest and in transit

Anticipated Business Benefits and Performance Metrics

The implementation of the analytics dashboard is expected to streamline data reporting processes, reducing report generation times by over 50%, improve operational decision-making speed, and enhance client satisfaction through timely, accurate insights. The project aims to support data-driven strategies that can lead to measurable efficiency gains and increased competitive advantage.

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