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Why More Jobs than Ever Require Data Skills

Glassdoor recently published their “Best Jobs in America” for 2019 and it was no surprise that data scientists topped the list for the fourth year in a row. Almost every industry utilizes data in some form to build a more efficient business model, and that trend does not seem to be slowing down.

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TV/Film Characters Breaking the Mold of What it Looks Like to Be a Data Scientist On Screen: Part 2

In last week’s article we discussed five diverse characters in television and film that didn’t necessarily fit Hollywood’s stereotype of what a data scientist looks and acts like. While many hacker and data analyst roles are portrayed by white actors and actresses who are nerdy and/or computer geniuses that’s not the case in everyday society. The data industry is made up of men and women of all different races, ethnicities, and sexualities, so today we are continuing to celebrate characters that don’t fit Hollywood’s typical mold.

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Does Your Company Have a Low Analytics Maturity?

Does your company have a low business intelligence (BI) and analytics maturity? According to an article published by Gartner earlier this month, there is an 87% chance that it does. The article entitled, “Organizations Have Low BI and Analytics Maturity”; Gartner investigates why so many companies have a limited BI maturity while including four different approaches to improve it.

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From Data Scientist to Data Hero: Interview with Iron Viz Champion Timothy Vermeiren

Tableau’s 11th Annual Conference concluded another successful conference at the end of October in New Orleans. Attendees got to attend data inspired break-out sessions, Tableau training, as well as networking events. One of the main events was the Iron Viz Championship – a competition between three finalists armed with a dataset and tasked with making the best visualization. Did I mention it was all in front of a live audience? I got to talk to 2018’s Iron Viz Champion, Timothy Vermeiren and asked him more about the championship and why he thinks data visualization is so important.

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