Enjoy reading this blog post written by our experts or partners. If you want to see what Databox can do for you, click here. Google “landing page statistics” and you’ll find plenty of statistics for landing page performance in all businesses, but not so much for specific niches. If you work in B2B SaaS or tech, you know that your audience has specific needs that a one-size-fits-all approach can’t meet.

Regardless of whether an engineering team is colocated, remote, or hybrid, they face the same inherent communication pitfalls. This article explores strategies to address them.

As software releases are expected to happen faster, testers are placed under more pressure. Pressure to find and eradicate bugs earlier in the release cycle, to avoid them being costly and delaying release timelines. That said, if companies want to stay ahead of the competition, it's important from the outset their testing processes are free from risks and vulnerabilities. Can automated testing best ensure thorough validation? How can team procedures proactively avoid risk?

A database is a storage system that stores data in an organized manner for easy access and management. In just the last two years, 90% of the world’s data has been created, and the volume of global data doubles every two years. All this data is stored in databases. So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management.

Open source file and table formats have garnered much interest in the data industry because of their potential for interoperability — unlocking the ability for many technologies to safely operate over a single copy of data. Greater interoperability not only reduces the complexity and costs associated with using many tools and processing engines in parallel, but it would also reduce potential risks associated with vendor lock-in.

Collaboration is a word often synonymous with success. In the world of design, where ideas are our currency, the ability to work well with others translates to innovative and impactful projects. But how do we make sure that our communication stays clear and focused during the creative process? The answer lies in team collaboration software. These simple but powerful aids act as bridges that allow designers, clients, and stakeholders to share their thoughts in a way that help minimize misunderstandings.

Highlights from WSO2's 2024 global user conference. The energy from WSO2Con 2024 is still electric. Over 350 attendees from around the world joined us at the Seminole Hard Rock Hotel & Casino in Hollywood, Florida, for three days of learning, inspiration, and connection. This year's theme, "platformless," took center stage. We explored how it empowers businesses to streamline development and focus on user-centric applications.

Every enterprise seeks to gain competitive advantage through the embrace of new, innovative technologies to either transform external customer engagement or unlock internal operational efficiencies. Test automation represents a powerful technology innovation by which product teams can unlock significant software development operational efficiencies. But test automation transformation initiatives come with notable risks that should be considered.

Organizations increasingly use data to gain a competitive edge. Two key disciplines have emerged at the forefront of this approach: data science and data analytics. While both fields help you extract insights from data, data analytics focuses more on analyzing historical data to guide decisions in the present. In contrast, data science enables you to create data-driven algorithms to forecast future outcomes. These disciplines differ significantly in their methodologies, tools, and outcomes.

APIs, or application programming interfaces, allow different software systems to communicate. But different types of APIs exist. Each type serves a different purpose. And each type has its own pros, cons, and use cases. This article breaks down the main API categories—open, partner, internal, and composite. We also discuss the types of APIs based on the protocols they use. At the end of this article, you can confidently choose the right one for your needs.