Credit Data and Scoring
The First Triumph of Big Data and Big Algorithms| By: | Eric Rosenblatt |
| Publisher: | Elsevier S & T |
| Print ISBN: | 9780128188156 |
| eText ISBN: | 9780128188163 |
| Edition: | 0 |
| Copyright: | 2020 |
| Format: | Reflowable |
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an individual’s economic responsibility. Written by a leading practitioner, it examines the international implications of US leadership in credit scoring and what other countries have learned from it in building their own systems. Through its comprehensive contemporary perspective, the book also explores how algorithms and big data are driving the future of credit scoring. By revealing a new big picture and data comparisons, it delivers useful insights into legal, regulatory and data manipulation.
- Provides insights into credit scoring goals and methods
- Examines U.S leadership in developing credit data and algorithms and how other countries depart from it
- Analyzes the growing influence of algorithms in data scoring