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.”
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?
Dashboards are an integral part of your performance management system and, when designed and developed correctly, will help you achieve revolutionary results.
On the Nature of Reported Truth
I find it painful that despite all the amazing data available at our fingertips, it’s sometimes still so hard to get at the “truth.”
The U.S. House of Reps, and Data Visualization (#2)
The whole point of a graph is to give the reader a quick, easily comprehensible visual impression of the data, so even small changes can be critically important.
Some elders believe Millennials are spoiled and have been allowed too much to “have it their own way.” I say nonsense to this claim. We need youth to implement data management methods and techniques that their elders are hesitant, reluctant, or fearful to try.
The U.S. House of Reps, and Data Visualization (#1)
Does turning data into beautiful, elegant graphics actually result in a better-informed audience? Is it the most efficient, effective way to get your point across?
Defining Data Scientists & Their Tools
There’s no shortage of opinion in the blogosphere on the relative merits of SAS, R and Python for data science.