Effectively managing ‘Big Data’ presents huge opportunities for IT to deliver business value. IT can show tremendous value to the business by having a well implemented big data program.
BUT, the IT Executive needs to understand the limits and impediments to our human ability to process information. Without properly accommodating for our limitations, we diminish the REAL value we can provide to the business.
Can anyone tell me the relationship between these three time periods?
80% of time and $ on maint. And 20% on new stuff. 80% on Infrastructure (capex) and 20% on customer facing (opex).
Need to be clear on this.
I’m going to try to explain each one of these and then show you some tactics you can apply to counter these impediments to success.
Our divided nature is partly to blame for our bad judgment. Broadly speaking, humans have a hasty and appetitive instinctual side, and a more patient, forward-looking reasoning side that supposedly provides some sort of supervision. Kahneman describes them as System 1 and System 2, respectively. The former provides most of the processing that gets us through our days. System 1’s snap judgments are often correct, but on more complex matters it can too easily victimize us. It can be “primed” through the power of suggestion, for example. And it’s susceptible to mere repetition, which it credulously mistakes for veracity. System 2 is our conscious, more rational self, and ought to ask, for instance, whether we are sure there are very many male librarians. But it’s lazy and easily tired, often bestirring itself just enough to certify that System 1 was right after all.This new approach has three essential elements: 1. Autonomy – the desire to direct our own lives. 2. Mastery — the urge to get better and better at something that matters. 3. Purpose — the yearning to do what we do in the service of something larger than ourselves.
I tried to get statistics on how much of the US Population understands statistics – but found nothing ;-)
Imagine, for instance, a man described as meek, shy, tidy, and helpful. Is he more likely to be a librarian or a farmer? Most of us will answer librarian, thereby falling for what Kahneman calls the representativeness heuristic. It may be true that librarians tend to fit the description, but there are 20 times as many male farmers as male librarians in this country. So it’s much likelier that the man described grows food for eating rather than catalogues food for thought.
ISAT test story with my son.
ISAT test story
In our busy world, people can FREQUENTLY miss changes that are very important and seemingly obvious.
People have a lot of choices and distractions… how do you motivate them to participate in processing big data?
Here are some interesting facts of what happens on the Internet every 60 seconds..
Which one are you more motivated to read?
Timing is critical.
Is the overnight report going the way of the dinosaur? Predictive Analytics are KEY!
Patterns & Trends that are predictive in nature are key
Let’s get tactical
Have full working demo at our booth.
Let’s get tactical
Can anyone tell me the relationship between these three time periods?