Systems | Development | Analytics | API | Testing

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition. It ensures the data is complete, accurate, reliable, and consistent. On the other hand, data governance refers is the overall management, maintaining compliance, and ensuring the security of data assets within an organization.

In today's dynamic software landscape, teams struggle with where to invest their time: new feature testing or regression testing. Obviously, ensuring the reliability and stability of applications is paramount so that the end-user experience is not impacted. However, teams must also ensure that new features and capabilities that will propel the company's business to the next level are also properly tested and ready to be put in the hands of the end users.

April 19, 2024 insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate. Companies that offer products to their customers demand analytics, all while juggling multiple priorities. Customers expect rapid value from your product (time-to-value), unwavering security of their data, and access to advanced analytics capabilities.

Functional testing is a type of software testing that validates web or mobile applications against pre-determined specifications and requirements. The goal is to ensure that the software performs as expected by both developers and end-users. Functional testers aim to emulate real-world scenarios and user pathways, testing not only for functionality but also for non-functionality, such as how the app behaves in airplane mode or when a video buffers.

Many organizations face the challenge of legacy application modernization. DreamFactory, an on-premise API generation and management platform, offers a robust solution for this transition. By enabling the creation of APIs from any data source, automating integration processes, and enhancing security measures, DreamFactory simplifies the modernization of outdated systems.

Dive into the world of seamless CI/CD workflows and take your release management process to a level of efficiency your team can’t achieve on their own. Streamline your releases with Release Management.

Why forward-thinking organizations are turning to a data mesh architecture.

Data forms the foundation of the modern insurance industry, where every operation relies on digitized systems, including risk assessment, policy underwriting, customer service, and regulatory compliance. Given this reliance, insurance companies must process and manage data effectively to gain valuable insight, mitigate risks, and streamline operations.