Systems | Development | Analytics | API | Testing

Instead of relying on inaccurate, messy and low-quality data, business leaders can instead drive innovation forward by turning to automated data management, creating a clean and steady data flow.

Businesses like yours need to connect applications and data sources to better serve customers, automate processes, and improve decision-making.

Recently, I published an article on whether self-service BI is attainable, and spoiler alert: it certainly is. Of course, anything of value usually does require a bit of planning, collaboration, and effort. After the article was published, I began having conversations with technical leaders, analysts, and analytics engineers, and the topic of data modeling for self-service analytics came up repeatedly.

Test orchestration is the arrangement of automated tests into a consecutive sequence for execution. It’s a method that focuses on strategically choosing specific tests (performance, functional, unit, etc.) and deciding on the order of executing tests. Software development teams that adopt test orchestration can streamline the testing process, improve transparency at each testing stage, release faster, and ultimately create a higher quality product.

With the rise of fintech companies, SaaS, and new digital channels to sell goods and services, creating superb payment experiences has quickly become critical to any business that collects payments and pays out funds. Whether you offer a B2C or B2B product or service, ensuring seamless payments has never been more crucial. Ensuring these great payment experiences can only come through extensive payment testing strategies covering many device, user, and O/S combinations.

As technology advances and digitization takes over, there is an expectation that our lives will be more simple. ‘Self-service’ capabilities like Self-Service BI are the manifestation of this expectation within many technologies. For most, ease of use is no longer enough. Now tools must be simple to use, and flexible enough to cater to a wide range of skills and intricacy of analysis.

Discover the power of configuration files in Python and learn how to work with YAML and INI file formats. From understanding the benefits of configuration files to comparing YAML and INI, this article is your one-stop guide for mastering configuration file management in Python.

Normally, testers write scripts on their own, which can be time-consuming, difficult to ensure 100% coverage, and hard to communicate precise requirements coverage achieved to critical stakeholders and clients. Inside Xray Enterprise, the new test case design tool, Test Case Designer (TCD), takes a model-based approach to designing more powerful tests. The tool’s algorithm uses pairwise/combinatorial methods to generate optimized tests based on the parameter models.