Jarlath Quinn

Jarlath is a veteran of the Predictive Analytics industry working under the auspices of SAS, IBM and SPSS and is one of the most experienced SPSS trainers in the industry. He has worked in client-facing roles delivering solutions that address a wide spectrum of strategic challenges for major telecommunications, financial services, utilities, retail and government organisations providing guidance on how predictive analytics are applied to diverse data sources to deliver real-time recommendations and automated predictions. In doing so, he draws on 30 years of expertise in statistics and machine learning, exceptional communication skills, people management and a comprehensive knowledge of applications that address everything from customer churn, demand forecasting and basket analysis to predictive maintenance, credit risk estimation and text mining. Specialties: Predictive Analytics, Statistics, Machine Learning, Data Science, risk modelling, Campaign response modelling, predictive maintenance, subscriber/customer retention, basket analysis, fraud analytics, text mining, real-time decisioning & optimisation.

What’s new in SPSS v31? A deeper dive

In June of this year, IBM released the latest iteration of SPSS Statistics. The version 31 release included a number of enhancements that include new analytical techniques as well as general usability improvements. In fact, users can see the details of each SPSS release by searching the Help system for ‘What’s new in SPSS’ or by clicking through the summaries of each feature in the What’s New section of the initial Welcome dialog.

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