The time you spend at a sport venue has to be the most awesome experience each time you are there, whether you are a season ticket holder with courtside seats or a first-timer in the nosebleed section.
Why did I pick on this post? Because it illustrates in a small way what I often see in organizations: some data is collected, some analysis is done, and conclusions are blithely drawn that simply can’t be inferred from the data. In many ways it’s worse than just guessing, because the participants may set off in the wrong direction with excessive confidence
When you design for business intelligence (BI) or mobile BI, the response time (sometimes also referred to as load time ) will always come into question.
In anticipation of her upcoming conference presentation, “It’s Not a Black Box! Explaining Predictive Models to the Masses”, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Sarah Holder, Senior Market Research Analyst at Duke Energy a few questions about her work in predictive analytics. Q: In your work with predictive analytics, what…
A wise man once told me,“There are no automated processes. There are only manual processes that can be automated.”
10 Phrases That Kill Big Data Projects
What are the 10 dangerous phrases and mindsets that CIOs need to refute? You’re about to find out.
I’m going to break it to you gently. Despite all the advanced technology lining your pocket, car, home, workplace–and even the proverbial cloud floating virtually above your head–the world is a remarkably inefficient, wasteful place.
Are you still torturing your data to get what you want?
The Internet of Things is going to be driven by innovative business models as much as by innovative technology.
Economists like to assume the “rational economic man” – it permits them to sound as if they know what they are talking about.