Systems | Development | Analytics | API | Testing

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How to Create a Line Chart in Yellowfin Dashboards

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In our previous blog, we created a heat grid by aggregating on the basis of Day of Week and Time of Day. By sorting the axes of the chart, we were able to create an easy-to-read chart lined up from Sunday to Saturday and from 0:00 to 23:00.

Helix ALM by Perforce vs HP ALM by Micro Focus

Since HP ALM/Quality Center was acquired by Micro Focus (and now Open Text), users have been outgrowing its functionality. While HP upgraded many of its solutions to be more compatible with Agile and to support automation, ALM/Quality Center was left behind. What was once considered a best-in-class solution is becoming more obsolete by the day, having no resources allocated to development and limited support for customers. Today, there are better ALM options available.

Understanding the Benefits of Salesforce Testing for Your Business

Today, enterprises experience great pressure of increasing the number of integrations and customization which in turn, subsequently raises the necessity to implement effective QA systems that will assure scalability and maintainability. Salesforce can be described as one of the most popular CRM systems that assist sales, marketing, commerce, service, and IT departments engage with customers and drive key business information.

Forecast Performance | Databox 101 | Chapter 4.2

How many deals will you close next month? How many website sessions will you get? How many impressions will your social channels get? When you don’t know what your performance will be, it’s hard to set realistic goals, craft plans, or have the right team in place. Databox Forecasts helps you predict future performance so you can make more accurate plans now. In this video, you’ll learn: Bookmark this tab AND share the series with your entire company/team! Databox empowers everyone - leaders, managers, and individual contributors alike.

S1.E14: Mobile testing trends | QA Therapy Podcast

Today, we're fortunate to have Barış Sarıalioğlu as our expert QA Therapist. Barış is a seasoned speaker at testing conferences, offering invaluable insights into mobile development. Just like with any investment, the sooner you prioritize mobile, the smoother the transition will be for you and your teams. With Xray, you have the flexibility to define mobile tests in various forms - whether through manual scripted tests, exploratory tests, or by aggregating results from automated tests for mobile.

How did it get so far?

Skipping thorough testing? Here's why it's a risk you can't afford to take. On July 19, the world experienced what would be the largest tech outage worldwide. If you’re a software developer or tester, you've likely faced the frustration of a system failing right when it’s most critical. Did you know the complexity of today’s software is a significant reason behind these issues? It’s not just an occasional problem; it's a global challenge.

How Data Is Driving The AI Revolution: Excerpts From Season 5 Interviews

This episode of the "Data Cloud Podcast" features clips from all of the interviews from Season 5 of the podcast to date. Conversations featuring Snowflake CEO Sridhar Ramaswamy, ZoomInfo VP of Data & Analytics Philip Zelitchenko, WeightWatchers Chief Data Officer David Cohen, TalkingPoints President Claudine Ryan, Blue Yonder CEO Duncan Angove, and Spark NZ Head of Transformation Kallol Dutta. Our guests discuss how their organizations are leveraging AI and what we can expect in the near future.

The Data Turf Wars are Over, But the Metadata Turf Wars Have Just Begun

Over the past several years, data leaders asked many questions about where they should keep their data and what architecture they should implement to serve an incredible breadth of analytic use cases. Vendors with proprietary formats and query engines made their pitches, and over the years the market listened, and data leaders made their decisions.