Automate Budgeting with Python and Planning Analytics

Learn to revolutionize your budgeting and forecasting process using Planning Analytics and AutoAI in this comprehensive 31-minute video tutorial. Discover how to extract data from Planning Analytics using Python, generate machine learning models for expense prediction with AutoAI, and create new predictions for future periods using TM1py. Follow along as the instructor guides you through setting up a Jupiter Notebook, importing and transforming data, implementing Python code, creating an Analytical Base Table, and pushing predictions back to Planning Analytics. Gain valuable insights into credential setup, data preprocessing, and authentication processes. By the end of this tutorial, you'll have the skills to automate and enhance your budgeting workflow, saving time and improving accuracy in your financial forecasts.

Introduction
Planning Analytics
Jupiter Notebook Setup
Importing Data
Data Transformations
Python Implementation
Creating a Notebook
Importing Planning Analytics Data
Credential Setup
Data Preprocessing
Date Column
Analytical Base Table
Data Transformation
Authentication
Scoring
Prediction
Cellset
Push to Planning Analytics
Recap