Recently, I read why companies are failing in their efforts to become data-driven in the Harvard Business Review. It said that 72% of Chief Data Officers believe their organization doesn't have a data culture and 92.5% of them blame their people. But I think they’re wrong. The real issue is that people aren’t using the tools that their CDOs have bought for them. That means the problem isn’t with the users, it’s with the technology they’ve been given.
As analytics software vendors, we need to do something profoundly different to improve how business users access, consume, and interact with data.
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?
