No matter what, the amount of money a person pays to obtain insurance, whether for home, auto or life, depends on risk - all of which is deduced by scrutinizing data.
A lot of people talk about the wonders of in-memory processing, but in fact have no idea what it actually is.
In Part Two, we'll continue the discussion by detailing the type of information the Internet of Things produces, as well as how data visualization will help enterprises make sense of this data.
Yes, data scientists were around in the 1800s, but it took them much longer to create data visualizations than it does today.
Even though today's data analysis software is quite sophisticated, some specialists believe such tools aren't as "smart" as they could be.
When organizations use data analytics to identify where unnecessary expenses persist, many discover that a number of fundamental practices are to blame.
In recent articles, I have focused quite a bit on the kind of information the Internet of Things will deliver to data visualization software.
I'm not referring to the overt prejudice and favoritism people think of when gross social injustices occur, I'm talking about how professionals collect information.
As a human being, I tend to recognize the incredible advances we've made in technology and then say "Great, what's next?"
No matter what type of business you are in, you will encounter changes on an annual basis, whether minor strategic adjustments or monumental transformations.