Picture a team that’s working on a new mobile banking application: This is an example of the impact Exploratory Testing can have on your testing efforts. It is a hands-on approach to software testing in which you simultaneously design and execute tests using your creativity and intuition. The purpose of this blog post is to guide you on how to effectively train your team for exploratory testing, ensuring they are well-equipped to leverage this approach for maximizing software quality.

Having access to the right information at the right time isn’t just a luxury for modern businesses anymore—it’s a necessity. And that’s where KPI dashboard software comes into play. These powerful tools can transform raw data into clear insights, helping companies make informed decisions both quickly and effectively. But with so many options available, how do you choose the right one for your needs?

Sometimes, performance is the primary requirement when you are picking a third-party library to solve a task in your application. For CPU intensive work, there are often similar alternatives that you can choose from: To find out which one of them is more performant for your use-case, you can set up an experiment with microtime/hr_time calls and run them against each other. But: this provides fewer insights than running your tests directly with a Profiler such as XHProf or Tideways!

Businesses struggle with complex IT ecosystems. Facing increasing market pressures and constant change, they often add new solutions to solve problems. But over time, the complex systems used to automate and optimize business processes lead to significant technical debt (and management nightmares). IT orchestration helps businesses manage their IT seamlessly. It simplifies business processes, optimizes resource use, extends existing IT investments, and enhances efficiency.

When Facebook acquired WhatsApp in 2014, they had to integrate an enormous amount of data—450 million monthly active users generating billions of messages, photos, and videos daily—into Facebook’s systems. This data migration required precise planning and execution to ensure a smooth transition and prevent data loss while maintaining the accuracy and integrity of the information.

Mergers and acquisitions (M&As) are strategic business activities where two or more companies join forces by combining their assets, operations, and management structures, often resulting in a unified entity or allowing one company to absorb another. These transactions are typically pursued to enhance competitive advantage, expand market share, or achieve operational efficiencies.

Mergers and acquisitions (M&A) have become a stepping stone to corporate growth strategies. Companies worldwide are actively turning to these deals to expand market reach and drive financial performance. The latest data from EY-Parthenon confirms this trend, with M&A activity projected to surge by 12% in 2024. While the idea of combining companies is undeniably exciting, a critical yet often overlooked factor that can either make or break a deal is data governance.

The financial realm stands at the brink of a shift promising to alter how we handle money, carry out transactions, and oversee affairs. This transformation is encapsulated in the concept of “Finternet” – an innovative global financial ecosystem grounded in technologies like Blockchain, Decentralized Identity, and Smart Contracts. What exactly is the finternet, and why does it have the potential to revolutionize today’s financial landscape?