Last year, Yellowfin changed the world of business intelligence and analytics with the introduction of Yellowfin Signals. We automated data analysis, removed dashboard dependency, and sped up the process where you would get alerted to the most important changes in your business data, just ask AeroEdge.
In Yellowfin 8 we introduced two new products, Yellowfin Signals, to automatically discover the most critical changes in your business as they happen, and Yellowfin Stories, to provide context to the numbers and tell compelling stories with your data. We’ve received great feedback since then and implemented some of the requested enhancements to improve the user experience, increase governance and performance.
The 2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms report is out. And I am sure that the Marketing departments of many analytics vendors are in a frenzy of activity to get their story out with as much spin as possible.
In Yellowfin 8, we have enhanced how our clustering infrastructure functions. If you have Yellowfin set up on a clustered environment, then you may be aware of how advantageous this can be.
We use these buzzwords everyday but how accurate are they really?
There is so much talk about the potential of Artificial Intelligence (AI) and Machine Learning (ML), especially in the Business Intelligence (BI) and Analytics arena. The most powerful examples revolve around the ability of machines to spot patterns and trends within huge volumes of data.
With the release of Yellowfin 8, we launched our new Stories feature. It was supposed to solve a cutting and pasting issue, but we discovered it solved a problem far bigger than we knew existed.
