Most print media companies have struggled to make money in the 21st century, but The New York Times is using predictive analytics tools to gain a competitive edge. In the middle part of the last decade, when the Internet replaced print publications as the primary source of news for many people, revenue at most news
As healthcare providers collect more data on patients than ever, and plan to use to predict care episodes, healthcare need to understand the ethical implications, according to experts speaking at the Predictive Analytics World Healthcare conference in...
Predictive analytics modeling requires statistical and technical prowess, but modelers shouldn’t overlook the business problem they’re trying to solve. At the oil and gas drilling company Halliburton, traditional BI is still important, but there is a growing...
Today’s job market for highly skilled employees is white hot. The workforce is quick to move from one opportunity to another, and employers are faced with high costs for recruiting and reduced inefficiencies resulting from having to...
KANSAS CITY, Mo. — At the request of his probation officer, Tyrone C. Brown came to a community auditorium here in June and sat alongside about 30 other mostly young black men with criminal records — men...
So many data scientists select an analytic technique in hopes of achieving a magical solution, but in the end, the solution simply may not even be possible due to other limiting factors. It is important for organizations...
In the past decade, Big Data solutions have become the most impactful breakthrough in the data science industry. There has never been a better time to pursue a data career to help organizations wade through the Big...
There’s conflicting opinions on when the term Big Data really came onto the scene, but it is undeniable that its notoriety has skyrocketed in the past few years. Big Data has become the hot topic buzzword around...
Are you using predictive approaches to truly leverage customer analytics? If not, I highly recommend this webinar where we’ll review predictive analytic approaches to common customer analytics tasks such as predicting likelihood to purchase or expected near-term...
If big data has reached a point where it has simply become essential to everything else, why are so many companies still struggling to put their data to good use? The big data furniture Big data used...
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