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 […]
Supply, Demand and Data Read More »
Data, Data ScienceI had just gotten out of a discovery meeting with a client when she said “I’m sure we’re the worst you’ve seen”. The goal of the meeting was to better understand the process they were using, the data source, and how they were consuming that data. Turns out that data was entered into Share Point
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,
I think it’s fair to say that I like models. Whether manifested with Legos, metadata, or economic indicators, I love seeing how inputs can affect outputs. So, when I discovered the forecast capabilities in the R suite, I couldn’t wait to give it a go. Never Tell Me the Odds! Many of the companies I have
Use the Force, er… Forecast, I Mean Read More »
Analytics, Data Science, Forecasting, Machine Learning, OBIEEThis 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!
Accessing & Analyzing Twitter Posts with R Read More »
Code, Data Science, R, Twitter