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Qlik

Anscombe's Quartet

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."

Qlik (Attunity) Recognized Again in Gartner Magic Quadrant for Data Integration

Every time a new Gartner Magic Quadrant is published, I always have a flashback to the scene in the old Steve Martin movie “The Jerk” – when his character gets overly enthusiastic about seeing his name published in the new phonebook. As a software vendor, I think we sometimes look like this when the Gartner MQ is released, and everyone gets a little too excited.

The $0 data integration project

Sometime ago, when I was with another software company, I was involved in a large implementation of our software. The deployment required our software to connect with a legacy customer application, so an integration between the two products had to be developed. When the Sales person put together the proposal, he quoted this integration for $0 because “it’s so simple, I could create it myself”.

The Hole Story and Bias in AI

AI and its enabled tools continue to enthrall business with its promise of efficiency and innovation. But, one of the things AI is also clearly enabling is the bias. We’ve all read the news and heard the scaremongering stories around potential flaws and biases in Artificial Intelligence systems. I believe for this technology to reach its full potential, addressing bias will need to be a top priority.