Data analytics trends, latest news, upcoming workshops, and more

What is AI?

There is a mountain of hype around big data, artificial intelligence (AI), and machine learning. It’s a bit like kissing in the schoolyard – everyone is talking about it, but few are really doing it, and nobody is doing it well (shoutout to my friend Steve Totman at Cloudera for that line). There is certainly broad consensus that organizations need to be monetizing their data.

Intuitive and Associative AI

Over the course of the next 20 years, we will see changes in the way we have been working for the last 2000 years.

The way we work is changing. There have been 4 major areas in human history that defined the way we work; the Hunter and Gatherer Age lasted several million years, the Agricultural Age lasted several thousand years, the Industrial Age lasted a couple of centuries, and the Information Age lasted only a few decades.

10 Tips to Build a Successful Data Catalog

Last August we released Alteryx Connect, a social data exploration and data cataloging platform for the enterprise. What is a data catalog and how do organizations successfully build one? Data cataloging is an organized service that enables users across an organization to find and explore information assets in a secure and governed environment.

The 5 Biggest Data Visualization Mistakes Everyone Can Easily Avoid

Avoid these mistakes to ensure that your data analysis and reporting efforts will have the desired impact

Data visualization is often the final hurdle between turning data into insights and ensuring that insights from data are understood by the key people so they can make better-informed decisions and take the appropriate actions.

Qlik: Over 50% frequently make decisions on “gut feel” with a large skills-gap within data literacy

In Qlik’s recent survey on data literacy in the United States, over 50% of those surveyed said they frequently make decisions on “gut feel” over informed insight. When you combine that number with the fact that around 66% said they must deal with a higher volume of data in their job roles than three years ago, and we can see the large gap that exists within data literacy.