Systems | Development | Analytics | API | Testing

People often ask me, what's the difference between Yellowfin and our competitors? The truth is I try not to look at what our competitors are doing. That’s because we focus on different end-users to our competitors.

Over the past several weeks, the term DataOps has reverberated throughout the walls of Hitachi Vantara offices around the world and soon it will take the spotlight at NEXT 2019, the world’s first smart conference. We’ve defined DataOps and how its changing the game by putting the right data into the hands of teams, when and where they need it most. We’ve also talked about Hitachi Vantara’s DataOps journey, Project Champagne.

In this blog post I’m going to write about a famous piece in visualization history. How can we prove that a visualization is more worth than just looking at the data? That’s a question Francis Anscombe probably asked himself when he back in 1973 constructed the dataset that became known as Anscombe's quartet. A dataset he could use to show statisticians how wrong they were thinking that “numerical calculations are exact, but graphs are rough."

We've received a lot of fantastic feedback from industry analysts about Yellowfin and where we're going as an organization. There are three in particular that have come out recently and made me really proud of what we’ve achieved.