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Development of an Internal Analytics Dashboard for Business Performance Optimization
  1. case
  2. Development of an Internal Analytics Dashboard for Business Performance Optimization

Development of an Internal Analytics Dashboard for Business Performance Optimization

radixweb.com
Business services

Identifying the Challenges Faced by Business Services Firms in Data-Driven Decision Making

The client faces difficulties in collecting, analyzing, and visualizing complex operational data across various departments, leading to delayed insights and suboptimal decision-making. Fragmented data sources hinder real-time monitoring and strategic planning, impacting overall business agility and competitiveness.

About the Client

A mid-sized business services firm seeking enhanced data insights to improve operational efficiency and decision-making processes.

Goals for Developing an Internal Data Analytics Platform

  • Design and implement a comprehensive analytics dashboard that consolidates data from multiple sources for real-time visualization.
  • Enable stakeholders to customize reports and gain actionable insights promptly.
  • Improve data accessibility and accuracy to facilitate faster decision-making.
  • Achieve measurable efficiency gains, such as reducing report generation time by at least 30%.
  • Support scale for future data volume growth and integration of additional data sources.

Core Functionalities and Features of the Analytics Dashboard

  • Real-time data integration from various internal systems and databases.
  • Interactive dashboards with customizable widgets and filters.
  • Automated report generation with scheduling options.
  • Role-based access control to ensure data security.
  • Data export capabilities in multiple formats (CSV, PDF).
  • Alert and notification system for key metrics fluctuations.
  • Audit trail to track data access and modifications.

Technological Preferences for System Development

Cloud-based data storage and computing platforms (e.g., AWS, Azure)
Modern web development frameworks (e.g., React, Angular)
Data visualization libraries (e.g., D3.js, Chart.js)
API-driven architecture for modularity and scalability

Necessary System Integrations and Data Connectors

  • ERP and CRM systems for operational data
  • Database systems (SQL and NoSQL) for data consolidation
  • Authentication and identity management systems
  • Notification services (e.g., email, SMS)

Key Non-Functional System Requirements

  • Scalability to handle data growth of up to 10x over 3 years
  • High availability with 99.9% system uptime
  • Data security compliance (e.g., GDPR, ISO 27001)
  • Fast data processing with dashboard refresh times under 5 seconds
  • User-friendly interface with accessibility standards

Projected Business Benefits and Efficiency Gains

The implementation of the analytics platform is expected to enable faster access to critical data, reducing report turnaround times by at least 30%. It will enhance data accuracy, support scalable growth, and empower decision-makers with real-time insights, ultimately leading to improved operational efficiency and competitive positioning.

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