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Process Mining Analytics Platform

A robust data science application that applies Process Mining techniques to automatically discover, monitor, and improve real business processes by extracting knowledge from event logs readily available in information systems.

Key Features

  • Event Log Processing: Parses and structures complex temporal event data.
  • Process Discovery: Automatically reconstructs process models and visualizes actual workflow paths.
  • Bottleneck Analysis: Identifies inefficiencies and delays within the modeled workflows.

Technology Stack

  • Language: Python 3.x
  • Domain: Data Analytics / Process Mining

Installation

  1. Install required dependencies:
    pip install -r requirements.txt
    
  2. Run the application interface:
    python code/app.py
    

Developed by: Haider Ali

About

A comprehensive data analytics platform leveraging Process Mining techniques to extract, visualize, and analyze business workflows from event logs.

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