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.

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.