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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

Challenges Faced by Service Industry Companies in Data Insight and Reporting

The client experienced difficulties in aggregating and analyzing data across multiple internal systems, leading to low visibility into operational performance, slow reporting cycles, and reliance on manual data compilation. This hindered strategic decision-making and client reporting accuracy.

About the Client

A mid-sized business services company seeking to improve operational insights and client reporting through a custom analytics platform.

Goals for Building an Intelligent Analytics and Reporting Platform

  • Develop a comprehensive internal analytics dashboard to visualize cross-system data in real-time.
  • Automate key reporting processes to reduce manual effort and improve accuracy.
  • Enable customized reporting for diverse client needs to enhance service deliverables.
  • Improve data accessibility and user experience for operational teams to facilitate faster decision-making.
  • Establish scalable architecture capable of handling increasing data volume and user load.

Core Functionalities and Features of the Analytics Platform

  • Data Integration Module: Aggregates data from various internal sources into a unified data warehouse.
  • Real-time Data Processing: Supports live data synchronization for up-to-date insights.
  • Interactive Dashboards: Offers customizable visualizations for various operational metrics.
  • Automated Report Generation: Enables scheduling and delivery of detailed reports to clients and internal stakeholders.
  • Role-based Access Control: Ensures secure access based on user permissions.
  • User-Friendly Interface: Designed for ease of use to encourage widespread adoption among operational staff.
  • Alert System: Notifies users of anomalies or key threshold breaches in real-time.

Preferred Technologies and Architectural Approach

Cloud-based data warehousing platform for scalability
Modern frontend framework for dashboard interactivity
API-driven architecture for integrations
Use of secure authentication protocols

External Systems and Data Sources Integration Needs

  • Enterprise data sources and internal systems for data ingestion
  • Authentication providers for secure access
  • Client reporting portals for delivering customized reports

Critical Non-Functional System Attributes

  • System scalability to support increasing data volume and concurrent users, targeting at least 1000 users and 10TB data in the first two years.
  • High performance with dashboard load times under 3 seconds and report generation within 2 minutes.
  • Strong security measures including data encryption, access control, and audit logs.
  • High availability with 99.9% uptime commitment.

Projected Business Benefits from the Analytics Platform

Implementation of the analytics dashboard is expected to significantly enhance operational visibility, reduce manual reporting efforts by over 50%, improve data-driven decision-making speed, and elevate client satisfaction through more accurate and timely reports. The platform aims to support scalable growth, accommodating increasing user demand and data volume effectively.

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