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.
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.
Big Data is a big thing. It will change our world completely and is not a passing fad that will go away. To understand the phenomenon that is big data, it is often described using
Political Parties and U.S. House — Who Needs Data Visualization? (#5)
This tiny table tells a powerful story: in the fifteen presidential election years, the incumbent president’s party shows an average gain
Simple Is Hard.
“Well, it sure LOOKS complicated…”
I try to be positive. I really do. But yesterday…
Combatting Data Puddles
Since the dawn of analytics organizations have struggled…
Data Visualization and the U.S. House - A New Approach #4
As I suggested in the last post, let’s try using a table instead of a graph to see how House of Representatives election results correlate with the incumbent president’s party