Collection Analytics
To develop an easy to use statistical tool that scores active accounts in the portfolio on their propensities to default in the coming billing cycle.
Recent Posts
- ScoreData launches intelligent monitoring-as-a-service (iMaaS™) for the Enterprise
- ScoreData and NTT DATA Announce Multi-Year Agreement to Deploy Nudge Engines in the Healthcare Insurance Industry
- How to Detect Fake Online Reviews using Machine Learning
- Building a Product Recommendation System for E-Commerce: Part II — Model Building
- Building a Product Recommendation System for E-Commerce: Part I — Web Scraping
Categories
Tags
apparel brand
Banking
Collection Analytics
Collection expenses
Consumers
Creating Surrogates
Cross-sell & Up sell
Customer Engagement
Customer Relationship Management
customer retention
Customer Segmentation
Data Analytics
datasets
Debt Collection
Debt Management
Decision Science
distribution center
Facebook Fans
Facebook Marketing Simulation Models
Financial services
Fraud Analytics and Recovery
Fraud Detection
Fraud Prevention
healthcare
historical profile
insurance
Inventory Management
Life time Value
loan
Machine Learning
manufacturing
nested modeling
predict charge-off/ early pay-off
Predictive modeling
Propensity Prediction
recommendation
Retail
Retail/CPG
Risk Intelligence and Control
Sales Forecast
SKU level
statistical models for future sales
Telecom
transaction data
warehouse stocks