Here's
why predictive data could be a big part of the future for sophisticated, active investors.
Not exact matches
That's
why Opportunity or «trigger» information becomes a truly
predictive piece of the purchasing puzzle — when it's layered on top of Fit and Intent
data.
Programmatic Adtech for B2B Marketers Investment in programmatic adtech among B2B advertisers has increased due to better
predictive analytics and attribution and advancements in
data management, and Chitra Iyer examines six reasons
why.
It's
why the use of VAM (Value Added Measures) can not contribute valid or reliable
data to a teacher's effectiveness rating — because VAM is a
predictive model based on comparing a set of actual student test scores against a hypothetical group of scores.
When reality fails to match the models, which produce, despite millions of lines of code, little more than a lagged rescaling of the inputs, and which, with their copious parameters, have become over-fit, then either reality is adjusted by unjustified manipulations of past temperature
data, or new explanations (excuses) for
why the models have no
predictive skill are invented.
Big
Data is turning all of this intuition into
predictive modeling... but I believe that you can do it yourself if you reach out to your best clients, ask them about their business, understand
why they make the choices they do and how they reach out, or don't reach out, for help.