Systems | Development | Analytics | API | Testing

Rohlik: How to become an e-commerce unicorn with data

Rohlik is a data-driven e-commerce that bridges the gap between food producers on the one hand and retail consumers on the other. By delivering the best quality food blazingly fast without compromising on quality, Rohlik has expanded across the European continent, operating multiple brands including Knuspr, Gurkerl, Sezamo, and Kifli, and growing 53% year-over-year. Becoming the first Czech unicorn company in 2021. Rohlik used Keboola to drive data-driven processes from day one.

Best Summer Ever with 5 New Features in the Appian 22.3 Release

Hot sand. Cold drinks. New Appian features. My perfect kind of August! The heat may be relentless, but we’re staying cool with the Appian 22.3 release. From codeless data modeling to SAML “Remember Me” log-in configurations to a one-stop shop Solutions Hub, this release brings you new capabilities that make building apps easier than ever so you have more time to enjoy your summer. Missed the webinar with Appian VP of Product and Deputy CTO, Malcolm Ross? Don’t sweat it.

How To Improve Mobile App Performance with Automated Testing

The market for mobile apps has become quite competitive. Mobile application testing is a must to ensure functionality, usability, reliability, and performance. Effective mobile app testing allows for early recognition of defects and enhances time to market. People spend a large part of their day on mobile apps, making it crucial to develop a great mobile app experience.

What Are APIs and How Do They Work?

APIs are a key aspect of our digital world and allow us to engage in digital experiences on our phones and computers every day. Every time you use an app such as Facebook or Instagram, check the weather or send an instant message, you’re using an API. So what are APIs? API stands for Application Programming Interface, which enables communication between two applications.

How to leverage low code test automation to scale

Dev teams are stacked against an incredibly high bar of software quality, consistent end-UX, and tight release windows. While manual testing remains a cornerstone of quality, leveraging test automation enables enterprises to scale testing and meet demands for coverage and capacity. Low-code test automation provides a great place to start; it circumvents current challenges in talent pools, increases coverage, and iterates quickly.

Avoiding Data Integration

For many years now, vendors and consultants have avoided the practice of data integration. Integrating data is complex. Systems are often undocumented, which makes searching them difficult. Assumptions must be made in order to understand business decisions from long ago. Data integration requires the proverbial four-letter word no one wants to hear: work. But anything worth doing should involve a bit of sweat and tears, right?

Choosing an operating model

One of the major steps in our 8 Step Guide to Modernizing Your Testing Organization is selecting the right operating model for your testing team. Why? Because this is were you determine how your testing organization will actually run. This is where you’ll establish accountability and communication needed to continue testing innovation and maintain best practices.

Defining your test strategy

Accelerating your software delivery cycle is impossible unless you also accelerate and enhance your approach to software testing. In another article we described the eight steps of the journey to transform your organization into a modern testing organization. This article will focus on defining your test strategy. You’ll learn about the importance of adopting agile practices.