By the end of some students’ first two weeks in a college course, an analytical model can determine with 75% accuracy rate how well they’ll end up doing. But should it? For the 2,200 students at community colleges and historically black universities, the Open Academic Analytics Initiative in 2014 — a program developed by Marist College and
Today’s business executives are increasingly applying pressure to their Human Resources departments to “use predictive analytics.” But this pressure isn’t unique to Human Resources, as these same business leaders are also pressuring Sales, Customer Service, IT, Finance,...
I attended Predictive Analytics World in Chicago the week of June 20 to June 23. I met a lot of new people and was reacquainted with several other colleagues. As I listened to 2 days of workshops...
Strategy Set to Revolutionize the Delivery of Innovative Analytic Solutions Charlottesville, VA: The explosion of Big Data has driven an insatiable demand for extracting actionable value from data. Elder Research, known for innovative analytic solutions, plans to...
How analytically-driven are today’s leading companies? It’s a question more and more organizations are asking themselves as they struggle to transform their data into actionable insights in order to drive growth. And while businesses of all shapes...
Predictive analytics shows how a consumer will interact with content, but it has limited insight into why. Uplift modeling predicts what will influence a consumer to take the action you want. This free webinar from the Predictive...
Over the last five years, electronic health records (EHRs) have been widely implemented in the United States, and health care systems now have access to vast amounts of data. While they are beginning to apply “big data”...
April 27th was the anniversary of the death of Karl Pearson, who contributed to statistics the correlation coefficient, principal components, the (increasingly-maligned) p-value, and much more. Pearson was one of a trio of founding fathers of modern...
Here are some reflections and key takeaways. Please note this is not exhaustive! I did not see every presentation. A sign of a great conference is how torn attendees are between concurrent presentations. Good to note that...
When people think of “data science” they probably think of algorithms that scan large datasets to predict a customer’s next move or interpret unstructured text. But what about models that utilize small, time-stamped datasets to forecast dry...
