GenRocket Blog

GenRocket Blog

In the ever-evolving landscape of healthcare IT, the ability to process enormous volumes of information and securely exchange sensitive data within a diverse ecosystem has become an industry requirement. While healthcare payers are expected to account for the largest industry segment, many participants in the healthcare ecosystem rely on the security and accuracy of patient data exchanged between their systems.

In today's software-driven world, efficient testing is critical. Traditional Test Data Management (TDM) practices, while familiar, come with limitations that hinder testing effectiveness and cost efficiency. Enter GenRocket, a groundbreaking solution that not only addresses these limitations but also delivers exceptional value and unmatched Return on Investment (ROI). In this business case, we'll delve into the compelling reasons why GenRocket is the ultimate choice for businesses seeking to optimize their testing processes.

Salesforce is a popular customer relationship management (CRM) platform used by an estimated 150,000 businesses for customer account management. Not only does the basic Salesforce CRM handle tracking, managing, and communicating with accounts, but the various iterations of Salesforce – Manufacturing Cloud, Sales Cloud, Service Cloud and more – ensure that there’s a ready-made CRM for many popular industries and applications.

The traditional paradigm for provisioning data for software testing is evolving. What the industry currently refers to as Test Data Management (TDM) is changing with the times. Everything associated with the software release pipeline is being automated and integrated, except, that is, for the traditional and monolithic TDM model. With the help of synthetic data and Test Data Automation (TDA), software development and testing teams can unlock new levels of quality and efficiency.

Some analysts believe that the market for machine learning may surpass $9 Billon USD this year. The surge in growth in the ML market is exponential as new avenues for software development and applications emerge. With this surge in new applications comes the need for massive volumes of data to train ML models to perform at a high level of accuracy and consistency. Here, we present an overview of the role synthetic data can play in training machine learning algorithms. And we’ll identify the best applications for GenRocket’s Synthetic Test Data Automation platform in this rapidly growing industry.

Happy New Year! From everyone at GenRocket, we wish you a happy, healthy, and prosperous 2023. We’re thankful that 2022 was a fruitful year for both GenRocket and our clients. We couldn't be more excited about our plans for growth and expansion in 2023. It’s truly an exciting time for companies using synthetic data solutions, especially those like GenRocket that further automate and accelerate the delivery of exceptional enterprise-class software in the marketplace. We thought we’d take a few moments now to recap 2022 and look ahead at what 2023 may offer us.