Procure2Pay.jl
Procure to Pay (referred as Buy to Pay or Purchase to Pay in some ERP systems) Julia package provide a unified Analytics platform to support data analytical operations on all sort of Procurement, Accounts Payable, Procurement including Vendor, Use, Freight, Misc Tax Accruals data to address complete Buy to Pay data wrangling operations.
This package will provide a complete Analytic Software package, which can be deployed as a bolt-on or independent application for all data extract, load, transformation, ad-hoc reporting & Analytics, visualizations and tooling to support Data Science, AI, ML predictive Analytics.
This package is intended for small, medium, large and very Big Organizations who require a Big Data Tools which can ELT i.e. Extract very large amount of structured and unstructured data, load data into a uniform platform such as RDBMS, Hadoop Data Lake or non-SQL environment.
Platform: Oracle OCI, AWS, Google or Microsoft Azure data cloud.
Analytics: Power BI, Tableau, Oracle Analytics Cloud or Kibana
ELT/ETL: Ascential Datastage, Iniormatica, Ab Initio etc.
Programming/Framework: Python, Julia, JuliaDB, Pytorch, TensorFlow or Flux
Further, advance data transformation wrangling techniques can be applied to prepare data for operations reporting, data analytic, advance data visualizations, data science operations including AI, ML for predictions.
This package also show case reporting, visualizations to support real time, live reporting on all mobile, web devices.
Author: Amit Shukla
Last Update Date: Apr 15 2021
Who should read this: small, medium, large ERP Consultants
Version: 0.22
Consulting: info@elishconsulting.com
Sponsorship: open for funding
This project is accepting funding/sponsorship proposals.
Table of Contents
Tutorials
- About Procure to Payable
- About Procure to Pay Business process
- Procure to Pay ERD
- Installing Julia Environment
- on local windows, mac, linux
- on Cloud Windows VM
- on Cloud Linux VM
- run Julia REPL on Cloud Windows, Linux VMs through SSH client
- run Jupyter & Pluto notebook through remote browser
- 5a. How to run & access Jupyter notebook through remote browser
- 5b. How to run & access Pluto notebook through remote browser
- use GitHub to sync your work
- run VS Code on iPad/Tablet devices using coder-server
- Understanding Julia Project, Application, Environment, Package
- ELT.jl
- Data Science Operations
- Features Engineering
- Data Visualizations
- Self-Service Reporting
- ML Models
- ML Models
- Null Hypothesis Tests
Manual/API
P2P.jl package supports these ERP systems data structures.
Oracle, PeopleSoft, SAP, Tally, Intuit, QuickBooks etc. I will cover examples from ERP Domains like GL (General Ledger), AP (Accounts Payable), AR (Account Receivables), B2P (Buy to Pay), Expense, Travel & Time, HCM Human Capital Management, CRM etc.