Team Name Big Data  Track IOT Use Case Developing a Credit Score Rating model for partner evaluation using SAS Viya. The solution analyzes payment history, financial behavior, and risk factors to predict the likelihood of timely payments, helping organizations make smarter credit decisions and reduce business risks. Technology SAS Viya (AI, Machine Learning, Analytics) Big Data & IoT integration for partner risk assessment Data visualization and reporting Region  Thailand Team lead  Thunyakorn P. Team members  Natcha W. Social media handles  https://www.linkedin.com/in/thunyakorn-pongsavakul-946091189?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app Is your team interested in participating in an interview?  Yes Optional: Expand on your technology expertise     ... View more

I’m working on a project for the SAS Hackathon where I want to create a Credit Score Rating system to evaluate whether business partners have the ability to pay on time. The goal is to analyze payment history, financial behavior, and risk factors, then predict the likelihood of timely payments using SAS Viya    PartnerID,PaymentHistory,OutstandingDebt,AnnualRevenue,DefaultFlag P001,OnTime,20000,150000,0 P002,Late,50000,100000,1 P003,OnTime,10000,120000,0 P004,Late,70000,90000,1 P005,OnTime,15000,200000,0 /* Import the dataset */ proc import datafile="/home/user/credit_data.csv" out=work.credit_data dbms=csv replace; getnames=yes; run; /* Build logistic regression model */ proc logistic data=work.credit_data; class PaymentHistory; model DefaultFlag(event='1') = PaymentHistory OutstandingDebt AnnualRevenue; run; I’d love suggestions on feature engineering, model selection, or even SAS-specific functions that could strengthen the results.   ... View more