May 5, 2017

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by: Phil Goerdt

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Categories: Data, Data Science

In my last blog post, I discussed how I think that the way most people talk about BI and analytics is incorrect, how data is fluid, and some of the biggest issues I see when helping clients. I’m going to continue that discussion in this blog post, but pivot the conversation from what is wrong […]

January 11, 2017

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by: Phil Goerdt

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Categories: Analytics, Data Science, OBIEE, Oracle

As I’ve been discussing in my last few blogs, it’s possible to start using OBIEE for analytics, rather than the standard operational reporting and BI that is commonplace. Data science has been quite the buzz the last few years, and no doubt about it, data scientists can bring great value and understanding to an organization, […]

June 24, 2016

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by: Michelle Kolbe

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Categories: Code, Data Science, R, Twitter

This is a topic that I was teaching about last night in my Digital Analytics class at the University of Utah and instead of only sharing what I found with my students, I thought I’d share here in the blogosphere. What I’ve found was yes it’s easy to pull Twitter posts into R for analysis! […]

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