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

Development of an Internal Analytics Dashboard for Enhanced Data Visibility and Operational Efficiency

yslingshot.com
Manufacturing

Challenges in Data Management and Operational Visibility

The client faces difficulties in consolidating data sources, leading to fragmented insights and delays in decision-making. Limited real-time visibility into key operational metrics hampers efficiency and strategic planning.

About the Client

A mid-sized manufacturing company seeking to improve data-driven decision-making and operational oversight through a centralized analytics platform.

Goals for the Data Analytics and Dashboard System

  • Implement a centralized internal analytics dashboard to unify data from multiple sources.
  • Enable real-time data visualization for critical operational metrics.
  • Improve decision-making speed and accuracy through accessible, consolidated insights.
  • Enhance scalability to accommodate future data growth and additional data sources.

Core Functional Requirements for the Analytics Platform

  • Data aggregation module to collect data from disparate internal systems.
  • Real-time data processing and refresh capabilities.
  • Customizable dashboards with drag-and-drop visualization widgets.
  • Role-based access controls to ensure data security and appropriate permissions.
  • Export and reporting functionalities for insights sharing.
  • User authentication and secure login mechanisms.

Preferred Technologies and Architectural Approaches

Cloud-based architecture for scalability
Data visualization libraries (e.g., D3.js, Chart.js)
Backend services built with modern frameworks (e.g., Node.js, Python Flask)
Responsive web design for accessibility across devices

Essential External System Integrations

  • Enterprise resource planning (ERP) systems
  • Manufacturing execution systems (MES)
  • Database systems holding operational data
  • Authentication services for user management

Critical Non-Functional System Attributes

  • System scalability to support increasing data volume and user load
  • High availability with 99.9% uptime SLA
  • Fast data processing with latency less than 2 seconds for real-time dashboards
  • Robust security measures including encryption, multi-factor authentication, and role-based access control

Projected Business Benefits and Impact of the Analytics Dashboard

The implementation of the analytics dashboard is expected to significantly improve operational visibility, enabling quicker decision-making and reducing data retrieval times by up to 50%. Enhanced data accuracy and accessibility will support proactive management, leading to increased efficiency and potential cost savings.

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