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Develop Scalable Project Management Platform with Advanced Analytics and Collaboration
  1. case
  2. Develop Scalable Project Management Platform with Advanced Analytics and Collaboration

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Develop Scalable Project Management Platform with Advanced Analytics and Collaboration

kitrum.com
Information technology

Challenges with Existing Project Management Processes

CPEC.ai requires a robust, user-friendly project management platform to streamline capital project execution. Current challenges include inefficient tool integration, difficulties in real-time monitoring, lack of proactive risk management, and complexities in managing project documentation and budget tracking across multiple stakeholders and contractors. The need for improved collaboration and transparent communication is critical for reducing disputes and ensuring project success.

About the Client

CPEC.ai is a technology company specializing in developing a project management platform for capital projects during the execution phase. They focus on leveraging data analysis and machine learning to provide insights and predictions.

Project Goals

  • Develop a functioning MVP of the project management platform within a defined timeframe (e.g., 7-8 weeks).
  • Enable seamless integration of various project management tools.
  • Facilitate real-time project monitoring through data correlation and automated alerts.
  • Implement comprehensive budget tracking and control features.
  • Provide a centralized system for managing all project documentation with robust search capabilities.
  • Enhance collaboration among cross-functional teams and contractors.

System Functionality

  • Tools Integration: Centralized access to various project tools.
  • Project Planning: Task mapping, iteration planning, and dependency management.
  • Task Management: Task creation, assignment, deadline setting, status reporting.
  • Time Tracking: Time logging, timesheet generation, and export.
  • Budget Tracking: Cost monitoring, budget creation, variance analysis.
  • Document Management: File sharing, version control, OCR, tagging, internal search, e-signatures, and integration with scalable storage.
  • Collaboration: Team communication, file sharing, customer data sharing, cross-team accountability, and real-time project monitoring.
  • Risk Management: Prediction of potential problems and tracking of mitigation efforts.

Technology Stack

Python
Cloud-based infrastructure (e.g., AWS, Azure, GCP)

External System Integrations

  • Swido (data visualization)
  • Potentially other project management tools and business applications

Non-Functional Requirements

  • Scalability to accommodate growing project data and user base.
  • High performance and responsiveness.
  • Robust security measures to protect sensitive project data.
  • Intuitive and user-friendly interface (no more than 5 clicks to access information).
  • High availability and reliability.

Expected Business Value

The platform is expected to significantly improve project efficiency, reduce costs, minimize disputes, enhance collaboration, and provide data-driven insights for better decision-making. By streamlining processes and providing real-time visibility, CPEC.ai can deliver higher-quality projects on time and within budget, leading to increased client satisfaction and business growth.

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