The microapp trend is on the rise! In the approximately two years since joining the DreamFactory team, I’d estimate I’ve conversed with more than one thousand companies about their API-based projects. These conversations provide a great opportunity to peer inside the IT operations of organizations large and small, not to mention pick up on emerging technology trends.

Table of Contents April 23, 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. You’ve just decided to start using Qlik within your team. Amazing!

This is the third in a series. Read Part 1 and Part 2. “2001: A Space Odyssey” doesn’t spend time on the training contexts of its antagonist, HAL 9000. The only clues we get are upon its “death,” where it regresses back to its earliest lessons, like singing “Daisy Bell” as it winds down for the last time, suggesting it started with the very basics and grew more complex only with time and practice.

Enterprises have complex IT and technology needs. To reach business goals, organizations must often stitch together a patchwork of software and IT systems. So, it’s understandable that the thought of adding yet another technology—low-code—might cause trepidation. But low-code excels at integrating seamlessly with any technology. Low-code tools speed up development work and enable rapid application development.

For independent software vendors (ISVs), creating unique differentiators and value increasingly entails adopting the latest technologies to enhance your product experience, especially in an ever-evolving competitive landscape with multiple new tech solutions. AI analytics is the latest emerging field in business intelligence (BI) solutions that offers new sophisticated capabilities for the user experience (UX) of your product’s analytics component.

Building a data-driven company starts with having a data analytics strategy. An effective data analytics strategy relies on three key components: people, processes, and data infrastructure. This ensures that your analytics strategy is actionable and accessible to everyone who needs it to make decisions. In this post, we’re sharing 12 tips to help you develop an effective data analytics strategy.

Ever felt overwhelmed by the complexity of the system that you’re testing? Navigating intricate software systems can be daunting, leaving us feeling lost and unsure where to begin. While exploratory testing gives us some degree of freedom to test, we still need some guidance on how to approach those complex systems. This is where heuristics might help by guiding us to efficiently navigate the complexities of software systems and uncover hidden issues.

No matter their size, all organizations rely heavily on the data they collect and manage. This data ranges from customer information to sales records, employee performance, and more. However, if this data is inaccurate, outdated, or incomplete, it becomes more of a liability than an asset, making it more important to measure its health. To do so, they need data quality metrics relevant to their specific needs.

The agile development landscape needs strong and effective automated testing solutions to assure the quality of online applications. Choosing the correct test automation framework is critical for efficient testing cycles. While Selenium remains a popular standard, Playwright has evolved as a strong competitor because of its architecture and ability to handle the intricacies of modern online applications.