In this new Guide to Predictive Analytics we will review how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter decisions and improve business outcomes. It is important to adopt a predictive analytics solution that meets the specific needs of different users and skill sets from
Predictive analytics holds a lot of promise for the modern sales and marketing organization. Smart companies are investing in the power of Big Data to pinpoint the most profitable prospects. But it also raises tricky questions and...
Big Data is moving into America’s hospitals, whether we like it or not. Electronic health records are combining with clinical analytics that can synthesize huge amounts of data. Soon doctors will rely on predictive analytics to more...
Based purely on the data, a really good data scientist will probably tell you the odds are poor that you’ll be able to find and hire really good data scientists. Surveys say there simply aren’t enough people with...
For more case studies in HR analytics, see Predictive Analytics World for Workforce, March 31-April 1, 2015 in San Francisco. We have written over 500 blog posts on the SmashFly blog and many remain as relevant today...
Dean Silverman keynoted at Predictive Analytics World for government, September 15-18, to see more on the conference click here. Dean Silverman, head of the Internal Revenue Service’s Office of Compliance Analytics, leads the charge to transform taxpayer...
Data mining techniques come in two main forms: supervised (also known as predictive or directed) and unsupervised (also known as descriptive or undirected). Both categories encompass functions capable of finding different hidden patterns in large data sets....
From clean water supplies to the polio vaccine, the most effective public health interventions are typically preventative policies that help stop a crisis before it starts. But predicting the next public health crisis has historically been a...
Many utilities are realizing that the huge amount of granular data coming at them can be leveraged to tackle their biggest challenges, such as distributed generation and engaging consumers beyond traditional power delivery. A growing number of...
