Systems | Development | Analytics | API | Testing

10 Top MySQL Reporting Tools for Data Analysis

Data is meaningless unless you draw actionable insights from it. MySQL reporting tools can help you gather the insights you need to make clear business decisions and drive growth. From tracking KPIs to identifying trends and patterns, MySQL reporting tools can unlock the true potential of the data stored within your database.

Sidestep the BI BS: 6 questions to ask before signing a contract

I recently watched the movie Air. I absolutely loved it. Note: if you don’t want spoilers, you may want to skip the next two paragraphs. Air is a story chronicling how Nike, the underdog in those days, steals Michael Jordan away from Adidas and Converse. With the cards stacked against Nike—they had a much smaller budget than their big-brand competitor, Adidas—it was conventionally assumed that Michael was better off signing with a more established brand.

What is Yellowfin Broadcast? Adding Call-to-Actions to Your BI

One of the most common challenges of analytics adoption is ensuring that your customers or end-users can see and extract value from their data and reporting tools. Providing people with new and improved embedded analytics tools is unfortunately not enough to guarantee that everyone will be able to use them without additional assistance or encouragement.

BDD is Not Only Gherkin or Cucumber

BDD (Behavior Driven Development) strives to communicate clearly whenever any stakeholder's understanding of the desired system changes and attempts to have stakeholders in diverse positions interacting smoothly in parallel to maintain a near-constant grasp of the intended system behavior. If that understanding has been misaligned, it should be updated, or it should be synthesized with a new understanding of the intended system. This ensures that all stakeholders are pulling in the same direction.

Pricing Strategies for API Products

APIs and their integrations are paramount for the inner and outer workings of SaaS organizations. As such, pricing strategies for API products have taken center stage for businesses as a crucial determinant of success. APIs have become the linchpin of modern software development, enabling applications to communicate, share data, and provide enhanced functionality.

What is Loose Coupling in REST APIs?

Loose coupling in REST APIs is a fundamental principle in software design that advocates for the independence of components within a design, where alterations to one component have minimal impact on the functioning of others. The allure of this approach lies in its promise of flexibility, reusability, and adaptability, especially when incorporating, replacing, or modifying components. Here’s the key things to know about loose coupling in REST APIs: Table of Contents.

Bringing Capacity Model Pricing to Qlik Analytics

Today we have exciting news to share with the debut of our new capacity model pricing for Qlik Analytics! This is an extension of our capacity model we introduced this spring for data integration. This is also the latest in a series of evolutions here at Qlik aimed at helping organizations more easily use data and analytics to better inform business decisions across any part of their organization.

Contextual Documentation: Revolutionizing User Onboarding with LoadFocus

In the fast-paced world of performance testing, every moment counts. LoadFocus is dedicated to ensuring that our users can hit the ground running, without getting bogged down by lengthy tutorials or complex instruction manuals. Enter contextual documentation: our solution for streamlining your learning curve and maximizing productivity.

Synthetic Data Generation Using Katalon

In the 21st century, data has become an invaluable asset that drives innovation, decision-making, and progress across various domains. Its importance stems from the fact that we are living in a digital age where almost every aspect of our lives generates, consumes, and relies on data. When it comes to software testing, data plays a crucial role to replicate positive/negative cases and identify corner or edge cases that might remain untested without conducting testing on various data values.