By: Greta Roberts, CEO, Talent Analytics, Corp
Over the past 30+ years, businesses have spent billions on talent assessments. Many of these are now being used to understand job candidates. Increasingly, businesses are asking how (or if) a predictive talent acquisition strategy can include the use of pre-hire assessments? As costs of failed new hires continue to rise, recruiters and hiring managers
In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare New York, October 29 – Nov 2, 2017, we asked Feras Batarseh, Research Assistant Professor, George Mason University – George Washington University, a few questions...
Wall Street and the New Data Paradigm In anticipation of his upcoming conference presentation, Wall Street and the New Data Paradigm at Predictive Analytics World for Financial in New York, Oct 29-Nov 2, 2017, we asked...
Data miners employ a variety of techniques to develop robust predictive models. Often, our analysts are confronted with a dilemma. Should we construct one model to address the business objective? Or perhaps, multiple models may be in...
This commentary first appeared in the San Francisco Chronicle. Originally published as the cover piece for the Insight commentary section in the Sunday San Francisco Chronicle, this op-ed by Eric Siegel points out that, although many believe...
In anticipation of his upcoming conference presentation, The Sprint for Teaching Data Science: LinkedIn Learning, Analytics and the New Era of Just-In-Time Skills Training at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we...
In anticipation of her upcoming conference presentation, Which Predictive Model Will Best Help Increase Retention? at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Emilie Lavoie-Charland, Research & Innovation Analyst at The...
This author will present at Predictive Analytics World, Oct 29 – Nov 2 in New York. This article is excerpted from his book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are....
As I have stated in previous articles, the most difficult challenge in building predictive models is the creation of the analytical file. Typically, this comprises between 80%-90% of the data scientist’s time with 10%-20% comprising the actual...
Talent Analytics uses data gathered from our own proprietary talent assessments as an input variable to predict hiring success – pre-hire. We treat this dataset just like any other dataset in our predictive work. We are careful...
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