1 / 1

Understanding Negative Recency Scoring in Data Analytics

This article explores the concept of negative recency scoring, a method used in data analytics to evaluate the impact of recent negative experiences or data points on overall scoring systems. We discuss its significance in decision-making processes, how it differs from traditional scoring methods, and its application in various fields like customer experience, finance, and marketing. By analyzing examples and case studies, we aim to provide a comprehensive understanding of this scoring technique and its implications in real-world scenarios.

newman
Télécharger la présentation

Understanding Negative Recency Scoring in Data Analytics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 3&27 Negative recency SCORING 21&9 15&15

More Related