Industry experts have no doubt: predictive analytics holds
tremendous benefits, but it’s really, really hard work.
You can quantify its difficulty using any of several metrics—algorithmic complexity; the worldwide dearth of skilled data
scientists; or the insufficiency of existing IT infrastructure,
particularly for preparing and transforming data.
The inconvenient truth remains: predictive analytics is hard.
“There are so many tests to detect traps you might fall into, and
none of them is built into the tools because they are dependent
on the data,” says industry veteran Mark Madsen, a principal
with consultancy Third Nature Inc. He says that predictive or
advanced analytics is so difficult that “a layman such as myself
shouldn’t be allowed anywhere near most analytic software."
READ MORE: Download this Hot Topic.
Sponsored By Pentaho
Individual, Student, & Team memberships available.