MOVED HERE -- https://github.com/RohitDhankar/digitalCognition

DigitalCognition

DigitalCognition - a Master Data Management System with built-in capability for Business Analytics and creating out of the box Machine Learning models and pipelines.

Existing product demo videos are here - feel free to go through the entire PlayList of Videos

• YouTube link of Demo Videos - https://www.youtube.com/watch?v=DTAgjm3VOjQ&list=PLLpHcww3qjp5DGRe_OTVO94n7i13bvTdV&index=9
• YouTube link of Demo Videos - https://www.youtube.com/watch?v=zydsrBWTbEA&list=PLLpHcww3qjp5DGRe_OTVO94n7i13bvTdV&index=5

Highly Customizable SaaS product with high level features as enlisted below

Disparate Data Sources - Data integration involves combining data from several disparate sources, which are stored using various technologies and provide a unified view of the data.

Self Service Business Intelligence - As business you demand flexibility and less dependence on IT teams , while deriving maximum intel from your data.

Features and Offerings

Kindly consider this is a work in progress project . As listed below we mention our features to be Tableau like , this does not in any manner mean we are Copying from Tableau or any such other BI tools etc . We are just very highly inspired by them and others in this niche.

• EDA- Exploratory Data Analysis - Work in Progress
• Tableau like MetaData Management - Work in Progress
• Tableau like Drag and Drop widgets - Work in Progress
• Tableau like Forms and Reports - Work in Progress
• Tableau like Executive Dashboards - Work in Progress
• Work in Progress

For developers > If you want to contribute

• Clone the repository on your local machine.

$ git init
$ git clone https://github.com/digital-cognition-co-in/DigitalCognition.git
$ cd DigitalCognition/

• See which all branches are available on the remote

$ git branch -a

• Move to the - develop , branch

$ git checkout develop

• You should now see the asterix in front of the branch *develop

* develop
  master

• Create a CONDA virtual environment with Python=3.8 , lets say u name it - dc_venv.

$ conda create -n dc_venv python=3.8

• Install all dependencies from the - requirements.txt , file

$ pip install -r requirements.txt

• Run the initial Migrations for the Django apps

$ python manage.py migrate