Predictive Analytics Times
Predictive Analytics Times
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From Human Screen to Machine: Predictive Analytics Helps Avoid a Major Point of Hiring Failure

 What is an employer’s most business-critical corporate process? At or near the top of this list has to be hiring employees that deliver more value to their role and company than they cost to their employer. Employees bring in revenue, rescue a customer, make your products, deliver goods, and sustain your profitability going forward. Identifying

Predictive Analytics in Health Care: Helping to Navigate Uncertainties and Change

 A recent billion-dollar forecasting error in Walgreen’s Medicare-related business has shocked the company and investors. The CFO was pressured to leave after he cut his 2016 pharmacy-unit earnings forecast from $8.5 billion to $7.4 billion. The company...

The Power of Predictive Analytics for Retail Replenishment

 Replenishment is an essential process in the retail supply chain. It is a key link in the chain that is interconnected with other functions such as allocation, promotions, planning, assortment, vendor compliance, and more. Furthermore, it is...

Voice of the HR Profession: “Charts and Graphs are Hard to Follow”

 In early August, our Director of Marketing reached out to the Editor of a well-known online magazine.  They are described as one of the leading voices in the HR profession that serves human resource leaders and professionals. ...

Wise Practitioner – Predictive Analytics Interview Series: John Cromwell, M.D., University of Iowa Hospitals & Clinics

 In anticipation of his upcoming keynote conference presentation at Predictive Analytics World Healthcare in Boston, “Real-Time Modeling of Surgical Site Infections,” we asked John Cromwell, M.D., Associate Professor at University of Iowa Hospitals & Clinics, a few...

Creating the All-important Analytical File-The Key Step in Building Successful Predictive Analytics Solutions

 In the data audit process, canned routines are programmed that can provide analytics practitioners with their first glimpse regarding data quality. Three canned programming routines look at the following: A random sample of 100 records Data Diagnostics...

Wise Practitioner – Predictive Analytics Interview Series: Linda Miner, Ph.D., Southern Nazerene University

 In anticipation of her upcoming conference presentation at Predictive Analytics World Healthcare in Boston, “Developing a Mortality Prediction Model for Disseminated Intravascular Coagulation (DIC),” we asked Linda Miner, Ph.D., Professor at Southern Nazerene University, a few questions...

It is a Mistake to…. Accept Leaks from the Future

 (Part 6 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) -John Elder (elder@datamininglab.com) I often evaluate promising investment systems, for possible implementation. In one, a...

Wise Practitioner – Predictive Analytics Interview Series: Marty Kohn, M.D. of Jointly Health

 In anticipation of his upcoming conference keynote at Predictive Analytics World Healthcare in Boston, “Big Data and Clinical Decision Support,” we asked Marty Kohn, M.D., Chief Medical Scientist at Jointly Health, a few questions about his work...

What’s the Government’s Role in Big Data Surveillance?

 What if predictive analytics could help prevent acts of terrorism? With so much at stake, should the government responsibly monitor data surveillance? If data privacy surveillance is the route to take, how should the government implement this?...

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