Broken Link Building Tips for Increasing Search Rankings, Authority, & Traffic
Want to build site authority and increase traffic through high-quality backlinks? Use these broken link building tips to create a better backlink process.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
A/B testing with Countly Product Analytics Platform
A/B Testing plugin lets you experiment with different variants of your remote configuration variables to find the best performing variant based on your goals. You can then roll-out the winning variant to all your users. You can take advantage of all your default/custom user properties and user actions (such as sessions, views, custom events etc.) while building the target audience for your experiment.
What is iPaaS? Definition and Benefits
These days organizations commonly rely upon dozens of databases, applications, and third-party services for powering critical business infrastructure such as web and mobile applications, business analytics, and customer outreach initiatives. Examples of such indispensable technologies include Microsoft SQL Server, Salesforce, and Intercom.
Why Your Performance Test Execution Strategy Is Important
When we consider performance testing most of the focus of the approach is placed on the script creation activity and making sure that requirements are covered, these are very important parts of your performance testing approach but so is the Test Execution. The frequency at which you run your tests is important and can save you time and effort in your script maintenance. A good performance testing execution strategy gives you the maximum amount of benefit it can by finding performance issues early.
Attunity Replicate - A "Hello World" Demonstration
Mike Tarallo from Qlik mostly known for working with Qlik Sense, was excited to share what he learned when working with Attunity Replicate.
The Future is Here: How AI is Solving UI Test Automation Problems Today
Artificial Intelligence (AI) isn't just a buzzword - businesses across all industries are leveraging the technology today to solve a wide range of problems. Even test automation tools are benefiting from AI, from AI-powered visual recognition and intelligent test recommendations, to risk profiling and bug hunting. At every step in the QA cycle, we see AI infusing itself to accelerate test creation, maintenance and execution.
The Yellowfin product roadmap into 2020
The last 12 months have been tremendous for Yellowfin. We’ve introduced Signals, Stories, a new dashboard build, mobile app and many new improvements to the platform. Over the next 12 months, we’re going to focus on three things that are important to business users - collaboration, automation, and consumption.
Software Testing Trends 2019 Recap | Industry Insights
2019 is almost over. The software testing landscape has seen numerous introductions in new testing approaches and innovations at an exponential rate. It has also witnessed the continuation of technological improvement, evolution, and reinvention. As we are progressing to 2020, let’s take a retrospective look at the top trends in test automation and see how we stand after one year.
How Industrial Companies Can Achieve Transformative Outcomes With DataOps
Digital transformation provides a valuable opportunity for industrial companies to move away from manual processes and automate with digital technologies to improve safety, productivity, and quality for customers. But it can be a daunting endeavor for many. At Hitachi Vantara, we’ve developed an award-winning Smart Manufacturing Transformation methodology that can ensure full-scale digital transformation and success for our customers.
The Yellowfin product roadmap into 2020
The last 12 months have been tremendous for Yellowfin. We’ve introduced Signals, Stories, a new dashboard build, mobile app and many new improvements to the platform. There is no one else in the market that brings together all of these types of products and it means we’re diverging from our competitors. Our competitors think far more about the analytical experience, while we care about the data consumer and build products for them.