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Development of a Scalable Internal Analytics Dashboard for Enhanced Data-Driven Decision Making
  1. case
  2. Development of a Scalable Internal Analytics Dashboard for Enhanced Data-Driven Decision Making

Development of a Scalable Internal Analytics Dashboard for Enhanced Data-Driven Decision Making

elinext.com
Business services
eCommerce
Financial services

Identified Challenges in Data Accessibility and Operational Efficiency

The client faces difficulties in consolidating and analyzing vast amounts of internal operational data, leading to delays in decision-making and reduced operational efficiency. Existing manual processes are error-prone and do not support real-time insights, impacting overall business agility.

About the Client

A mid-sized enterprise providing consulting and technological solutions, seeking to optimize internal data analysis and reporting capabilities.

Goals for Enhancing Data Analytics and Decision-Making Efficiency

  • Develop a secure, centralized internal analytics dashboard that consolidates data from multiple sources.
  • Enable real-time data visualization and reporting to support swift decision-making.
  • Improve data accuracy and reduce manual reporting efforts by automating data aggregation and analysis.
  • Achieve measurable improvements in operational efficiency, targeting a 20% reduction in report generation time.
  • Enhance stakeholder access to actionable insights, leading to more informed strategic initiatives.

Core Functionalities for Robust Data Analytics Platform

  • Secure data connection layer integrating multiple internal systems such as CRM, ERP, and transactional databases.
  • Real-time data processing engine enabling live updates and automatic refreshes of reports and dashboards.
  • Interactive visualization modules including charts, graphs, and heatmaps for intuitive data interpretation.
  • Role-based access controls to ensure secure and appropriate data visibility across user hierarchies.
  • Automated alerts and notifications for critical data thresholds or anomalies.
  • Export options for reports in various formats (PDF, Excel, etc.) and scheduling capabilities for regular reporting.

Preferred Technologies and Architectural Approach

Web-based application built with modern JavaScript frameworks (e.g., React, Angular)
Cloud hosting for scalability and reliability
RESTful APIs for data integration
Pre-existing data warehousing solutions for efficient data management

Necessary External System Integrations

  • CRM systems for customer interaction data
  • ERP systems for enterprise resource management data
  • Transactional databases for operational data
  • Notification and alerting services

Non-Functional System Requirements

  • System must support at least 500 concurrent users with minimal latency
  • Dashboard load time should be under 3 seconds
  • Data security compliance with industry standards (e.g., ISO 27001)
  • System availability of 99.9% uptime
  • Scalable architecture to accommodate future data volume growth

Projected Business Benefits of the Data Analytics Platform

The implementation of the internal analytics dashboard is expected to significantly reduce report generation times by up to 20%, improve data accuracy through automation, and enhance decision-making agility across departments, ultimately leading to increased operational efficiency and a stronger strategic position.

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