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Exploring the Connection Between Data Governance and Data Quality

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.

Latest Innovations In The "Boring" Regression Testing Space

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.

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

Using DreamFactory for Legacy Application Modernization

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source, automating integration processes, and enhancing security measures, DreamFactory simplifies the modernization of outdated systems.