Pc scientists coined the colourful expression “rubbish in, rubbish out” within the earliest days of knowledge processing, a time period first recorded in an article in 1963 when an AP reporter visited an early pc lab.
Practically 60 years later, we’re nonetheless fighting information credibility.
A research final yr from HFS Analysis discovered that 75% of execs don’t have a excessive degree of belief of their information. And a Gartner research from just a few years in the past reported that 40% of enterprise information is both inaccurate, incomplete, or unavailable.
This, as information volumes proceed to blow up and AI functions improve. IDC estimates that the quantity of knowledge created within the subsequent three years will eclipse the quantity created within the earlier thirty.
A 2012 remark from statistician Nate Silver in NPR nonetheless holds:
“We’re not that a lot smarter than we was once, although now we have way more data — and meaning the actual talent now could be studying how to select the helpful data from all this noise.”
I believe this is a vital reminder in enterprise decision-making, as all of us attempt to get savvier over time with how we work with the info now we have entry to. Now we have to discover ways to be data-driven with out being data-blinded, neither accepting data wholesale nor rejecting it outright.
Netscape founding CEO Jim Barksdale famously gave considered one of my favourite quotes about data-driven determination making:
“If now we have information, let’s take a look at the info. If all now we have are opinions, let’s go together with mine.”
Listed below are just a few associated cartoons I’ve drawn over time:
“If advertising saved a diary, this might be it.”
– Ann Handley, Chief Content material Officer of MarketingProfs