Systems | Development | Analytics | API | Testing

Research shows that legacy systems make up 31% of the technology in organizations. These are systems that might still provide value for your enterprise but are unable to interact with other software tools, rendering them almost useless for your digital transformation objectives. Many legacy systems are ERP systems that exist in data silos, incapable of integrating with the rest of your organization. In this article, we’ll show you how to connect legacy ERPs to modern applications.

Data fragmentation and the growing volume of data sources and types are putting increased focus and importance on an organization’s ability to continuously organize, transform and cost effectively deliver real-time data to its entire organization through the cloud.

Oracle Cloud’s quarterly updates require day-one testing on staging environments to keep up with the update’s general availability, which is critical to your business’ success. Tricentis Tosca provides fast, resilient, and risk-based testing to ensure your critical end-to-end business processes will continue to work as expected after Oracle Cloud updates go live.

ISO 9001 gives specific requirements and criteria for an organization's quality management system (QMS). It is a broad, international standard that is used by any type of organization of any size. The most recent version of ISO 9001 was released in 2015 and aims to help companies improve customer experience, meet regulatory requirements, manage supplier and partner relationships, and achieve continual company success.

Is your business growing to the point where it’s critical to start learning from your data? It’s no easy feat figuring out where to start, especially if you don’t have a data team or the resources to hire one. While we all know that data has become the lifeblood of businesses, providing valuable insights that fuel decision-making and growth, getting started on the data journey is easier said than done.

Cabify, a leading ride-hailing company, revolutionized its mobile engineering process by focusing on improving app quality and performance, resulting in faster release cycles and top-notch user experiences.

Enterprises are investing in data mesh initiatives to accelerate how decisions are made and to create novel experiences based on machine learning models. Similarly, enterprises are investing in API platform initiatives to productize business domains (or bounded contexts in domain-driven design parlance) as self-service digital assets that accelerate innovation and improve business agility. Both initiatives are typically run as separate work streams.

You're overseeing your delivery logistics from your dashboard when an alarming notification surfaces - one of your drivers has had a minor accident and they're unable to finish their route. You start considering your options. Is there a replacement driver close by? Is there a spare vehicle available for the original driver? Just as you're figuring things out, another alert arrives: your driver is okay and the delivery is still on time.

Exploratory testing has become a more common topic amongst testers. Exploratory testing provides valuable quality related insights that otherwise would escape unnoticed. Unfortunately there’s still a long way to go until everyone can unlock the full potential exploratory testing. Not everyone has heard about it, not everyone understands exactly what it is, not everyone has taken the most out of it.