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Development of an Advanced Internal Analytics Dashboard for Scalable Data Visualization and Resource Management
  1. case
  2. Development of an Advanced Internal Analytics Dashboard for Scalable Data Visualization and Resource Management

Development of an Advanced Internal Analytics Dashboard for Scalable Data Visualization and Resource Management

intersog.com
Other industries
Technology services
Startups

Identifying Challenges in Data Management and Visualization for Growing Startups

The client faces difficulties in building scalable, customized solutions for diverse industries, including the need for efficient data storage, visualization, and resource management, which hampers their ability to deliver tailored technology solutions and grow effectively.

About the Client

A technology-focused startup specializing in scalable and customizable software solutions across multiple sectors, aiming to enhance project management, data visualization, and resource allocation.

Goals for Building a Robust Data and Resource Management Platform

  • Develop a scalable and flexible web portal to manage and visualize project data across multiple industries.
  • Implement geolocation services and medical application tracking capabilities to support industry-specific needs.
  • Create an internal analytics dashboard to provide real-time insights into resource utilization, project status, and performance metrics.
  • Ensure integration with various data storage solutions and third-party services to facilitate comprehensive data management.
  • Enhance system performance, security, and user experience to support high-volume data processing and analysis.

Core Functional Features for the Data Management and Visualization System

  • Customizable dashboards for real-time data visualization
  • Geolocation tracking for assets and personnel
  • Medical and resource tracking modules
  • Project management tools for resource allocation and scheduling
  • Data storage integrations supporting SQL and NoSQL databases
  • Reporting system with automated report generation
  • Social networking and communication features for project teams
  • User authentication and role-based access control

Recommended Technologies and Frameworks for Development

Python
JavaScript (React, Vue.js, Angular)
Node.js
MySQL
MongoDB
Azure Cloud Platform
Machine Learning and AI frameworks
Graph database solutions

Essential External System Integrations

  • Data storage systems (MySQL, MongoDB)
  • Geolocation and mapping APIs
  • Third-party reporting and analytics tools
  • Authentication providers
  • Cloud services (Azure or equivalent)

Non-Functional System Requirements for Scalability and Security

  • Scalability to handle high data volumes with minimal latency
  • Performance optimization for real-time data visualization
  • Secure data transmission and storage, complying with industry standards
  • High system availability with 99.9% uptime
  • Responsive design for accessibility across devices

Projected Business Outcomes and Benefits

The development of this platform is expected to enable the client to deliver highly customizable, scalable solutions efficiently, leading to improved data insights, optimized resource management, and enhanced client satisfaction. Anticipated outcomes include a significant reduction in data processing time, improved decision-making capabilities, and increased project delivery scalability.

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