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.

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.

Software Testing has changed a lot! Earlier, manual testing ruled the world of testing, however, test automation increasingly became a reality in most organizations developing software. Testing continued to evolve, and it took advantage of technology innovations. Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. But, can AI-driven test automation significantly enhance test automation?

I’ve just come back from a pretty big trip. While it’s not the first time I’ve been to the US, Germany, the UK and Japan, in many ways this was a trip of firsts for me. The trip came off the back of the launch of Yellowfin 9 and the feedback I received about this release was exceptional. It’s the first time that I’ve ever had customers running up to me to say that they can’t wait to migrate to our platform.

Connect your Project Management tool with Jepto so you can keep your existing workflows and processes without having to switch tools when an Anomaly is detected in your Google Analytics data.

Whenever I meet an engineer and chat with him about Bugfender, one of the questions I get asked most often is: what does it take to build a log aggregation tool like Bugfender? What’s behind it? When processing millions of log lines per day for several thousand users, coming from millions of devices, good architecture is key to enabling uninterrupted high-speed processing and growing the platform as new users sign up.

“In god we trust, all others must bring data,” a line attributed to the American statistician, W. Edwards Deming, highlights the importance of statistical measurement and analysis in verifying facts and confirming their viability. However, as the volume of data grows exponentially, this becomes far more difficult with each passing month. While the fake news epidemic may be most noticeable on social media platforms, businesses face a similar challenge internally.

At Unravel, we have been working with AWS for some time to help our joint customers simplify data migrations to the cloud. Announced at AWS re:Invent, we are proud to be partnering with AWS on the newly created AWS Partner Network Global Startup Program. Unravel provides detailed insights and recommendations to help enterprises of all sizes slice and dice application workloads to ensure an effective cloud migration strategy.

To improve the quality of a software product built by developers, software testing is the key. Testing is essential to ensure that the end product delivered is stable and works according to the required specifications. As software testing plays a significant role in the delivery of the final product, it is necessary to consider that the testing process must involve accurate, exhaustive test cases and firm test strategy.