Beginners guide to write a R model from scratch for Oracle EPM
Introduction
Oracle EPM (Enterprise Performance Management) is a powerful suite of tools for financial planning and analysis. R is a popular programming language for statistical computing and machine learning. In this guide, we'll walk you through the process of creating an R model from scratch and integrating it with Oracle EPM.
Prerequisites
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Basic understanding of R programming language
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Access to Oracle EPM environment
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R installation on the same machine as Oracle EPM
The Solution
Step 1: Prepare your data
Start by ensuring your data is in a format compatible with R, such as CSV or Excel. Clean and preprocess your data as needed to prepare it for model development. For example, let's say you have a CSV file named sales_data.csv with columns for product, price, and quantity. You can read the data into R using the read.csv() function:
Step 2: Write your R model
Define the structure and parameters of your model. Use appropriate R packages and functions to train your model on the prepared data. Test the model's performance and accuracy to ensure it meets your requirements. Suppose you want to build a simple linear regression model to predict sales based on price and quantity. For example, you can use the lm() function from the base R package:
Step 3: Export your model as PMML
PMML (Predictive Model Markup Language) is a standard format for exchanging models. Use R packages like pmml or JPMML to export your trained model as a PMML file.
This will create a sales_model.pmml file containing your trained model in PMML format
Step 4: Deploy your model in Oracle EPM
Import the PMML file into your Oracle EPM environment using the provided tools and interfaces. Configure the model's parameters and settings within Oracle EPM to integrate it with your financial planning and analysis processes