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Development of an Internal Analytics Dashboard for Service Industry Client
  1. case
  2. Development of an Internal Analytics Dashboard for Service Industry Client

Development of an Internal Analytics Dashboard for Service Industry Client

elinext.com
Business services

Identifying Key Challenges in Service Industry Data Management

The organization faces difficulties in extracting, analyzing, and visualizing operational data from multiple sources. Manual reporting processes are time-consuming, leading to delays and potential inaccuracies, which hinder timely decision-making and strategic planning.

About the Client

A mid-sized business services organization seeking to optimize internal reporting and decision-making capabilities.

Goals for Enhancing Business Insights and Operational Efficiency

  • Develop a comprehensive internal analytics dashboard enabling real-time data visualization.
  • Automate data aggregation from multiple internal systems to ensure consistency and accuracy.
  • Improve decision-making speed by reducing report generation time by at least 50%.
  • Enhance data security and user access control to safeguard sensitive information.
  • Support scalable architecture to accommodate future data growth and feature expansion.

Core Functional Features for the Analytics Dashboard

  • Real-time data ingestion from multiple internal sources, including databases and APIs.
  • Interactive data visualization tools such as charts, graphs, and heatmaps.
  • Custom report builder allowing users to create and save tailored reports.
  • Role-based user access controls with authentication mechanisms.
  • Data export functionality in common formats (e.g., PDF, Excel).
  • Automated alerts and notifications based on specific data thresholds or anomalies.
  • Audit logs tracking user actions and data modifications.

Preferred Technology Stack and Architectural Approaches

Web-based front-end frameworks (e.g., React, Angular)
Backend data processing with scalable server platforms (e.g., Node.js, Python)
Cloud-hosted data storage and processing (e.g., AWS, Azure)

Necessary External System Integrations

  • Internal databases and ERP systems for data extraction
  • Authentication and identity management systems
  • Notification services for alerts and updates

Non-Functional System Performance and Security Standards

  • System must support concurrent usage by at least 100 users with minimal latency (<2 seconds for data load)
  • Scalability to handle data growth over the next 3 years
  • High availability with 99.9% uptime SLA
  • Data encryption both at rest and in transit
  • Compliance with industry data protection and privacy standards

Expected Business Benefits and Performance Gains from the New Dashboard

Implementation of the analytics dashboard is projected to reduce manual reporting time by over 50%, improve data accuracy, and enable faster strategic decisions. The system will support scalable growth, improve operational transparency, and enhance data-driven culture within the organization.

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