Systems | Development | Analytics | API | Testing

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Regression Testing vs Retesting-Differences and Examples

During the entire SDLC phase, there are various kinds of testing performed at different stages. Each stage of testing has different objectives to fulfil. The testing phase starts with unit testing followed by integration testing, system testing, system integration testing, acceptance testing, and regression testing. During each phase of testing, if something does not work as per specifications mentioned, the defects that are detected by the testers are raised and assigned to the developers to fix it.

Cross Browser Testing: Manual vs Automated Browser Testing

When you are delivering a web-based or mobile-based software in the competitive market, you need to ensure your website functions smoothly on every type of environment as intended. We do ‘Cross Browser Testing’ to meet the end user expectations across different web browsers. If your application is compatible enough, it will definitely help in obtaining a good business.

3 reasons your data presentations need governed data (and how that makes you look smart)

Presentations. Slide decks. Do these words elicit yawns? Even if they do, we all know that presentations are central in the business world for keeping people up to date and informed of organizational progress and changes. One of the frequently used presentation formats is the end of month/quarterly update that is full of numbers and charts. But putting data in your presentations presents some issues.

2019 in review (and why I'm excited for next year)

This year has been a really terrific one for Yellowfin. The highlight for me was having an ‘aha’ moment where I could really understand our value proposition and see what we offer our customers. This may sound odd, but I think we’ve made a complete step-change in the way we think about our organization this year.

How to create a business glossary on Talend Data Catalog using API Services and Data Stewardship

We often come across people talking about managing their data by one means such as a Data Lake, MDM or data governance. Modern data management is not only about managing your data but also about making data useful for the business. Furthermore, data management is also about providing the ability to relate frequently used business terminologies to data in the systems. Most of the big enterprises spend months to discover and identify the impact of any change on their entire data supply chain.

5 key features of any modern embedded analytics platform

Having analytics built into consumer apps and business software applications is becoming standard practice, particularly as a result of digital start-ups. Start-ups founded on analytics have been shaking up every industry like finance has been disrupted by Monzo's data focus, Netflix’s analytics has upended film entertainment, and Swyfft has used data to change the game for US home insurance. Users have come to expect analytics in their applications.

How to power your dashboards to stage 3 of the maturity scale

Dashboards have dominated the BI and analytics scene for over 30 years and have been the core requirement in any analytics solution. They have become the default for presenting data to business users to help them monitor and understand their business better. Their goal was to empower the business by providing them with self-service analytics.