This module discusses big data and its functionality characteristics. A review of big data, analytics, and statistics is provided. Applications of big data, including to an Order-to-Cash process, is offered. A scientific approach to credit management is introduced. IFRS 9 and the estimation of a trade receivable’s expected loss are shared.
What to Expect:
Big data and its aspects
Big data vs Analytics vs Statistics
Essential skills of big data analytics
Learn from the casino's scientific profit model
The quantifiable approach to credit management
IFRS 9 and the Expected Loss Model
Prediction of a trade receivable’s chance of default
Delay payment vs default payment
When should an overdue payment be classified as a bad debt?