Case Study: Training a Machine Learning Algorithm with Synthetic Data

A new case study features a particularly interesting challenge for our synthetic Test Data Automation platform, but one that GenRocket was able to handle with ease.

Supermarkets and grocery stores generate an enormous amount of data, but privacy laws restrict its use. One major financial services company considered how credit card data could be leveraged to find opportunities for cross-selling and upselling products. They wanted to test their machine learning algorithm to find patterns in recency, frequency, and monetary value of transactions, but needed a complex set of use cases and data to run their tests.

Here’s how the data and analytics team at this financial services company shaved hundreds of hours off various aspects of the project and added enormous benefit to the project.