Blog

Do you get value from your SAS language environment and thinking of moving to new technology? Three components for a successful and effective data science and analytics environment.

Who will win the Rugby World Cup? With input from ex-England rugby player Simon Shaw our data scientists use WPS Analytics to predict the winning team.

World Programming today released version 4.1 of their WPS software for workstations, servers and mainframes.

Forrester cites World Programming as a Challenger in its report, The Forrester Wave™: Multimodal Predictive Analytics and Machine Learning (PAML) Solutions, Q3 2018

Join the WPS Analytics Early Access programme to try new features before they are Generally Available

High operational cost, fraudulent claims, lengthy claims process with constantly increasing customer demands, and customer dissatisfaction are just few of many challenges of the complex claims management process. The third and final part of our blog series talks about how predictive analytics can make this process more efficient and profitable.

Adequate or fair or competitive insurance quotes? Or even better – adequate, fair and competitive quotes. Challenging but possible. Find out how in the second part of our blog series about insurance.

Why insurance is one of the most challenging business sectors. What are the main issues? How predictive analytics can support the three most important insurance concepts: pricing, claims and fraud detection. Find out in our 3-part blog series about insurance.

Data scientists debate using different languages for data interaction, modelling, analysis and reporting, influenced by the size and type of data, platform and business requirements. WPS Analytics allows you to combine languages as you choose into a single program.

To complete our recent blog series about credit scoring, here is a short video introducing the WPS Data Science Module (DSM)