Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Data Reliability and Validity, Redux: Do Your CIO and Data Curators Really Understand the Concepts?
 Here are two recent entries on...
On Variable Importance in Logistic Regression
 The model looks good. It’s parsimonious,...
Data-Driven Decisions for Law Enforcement in Toronto
 For today’s leading deep learning methods...
AI, Machine Learning, and the Basics of Predictive Analytics for Process Management
 APQC Chair Carla O’Dell interviews Predictive...
SHARE THIS:

3 years ago
Guiding Principles to Build a Demand Forecast

 Demand forecasting is one of the most challenging fields of predictive analytics. This is a reality that is industry agnostic – true across finance, health care, and consumer goods and retail. This will not come as a surprise to business decision makers and data scientists working hard to leverage that information. While each industry has its own challenges – retail demand may be far more sensitive to economic pressures, for example, while health care is adapting to different delivery models and regulatory requirements – there are common pitfalls. Fortunately, there are common strategies to optimize the benefits of demand forecasting.

To view this content
Login OR subscribe for free

Already receive the Predictive Analytics Times emails?
As of January 2014, the Predictive Analytics Times now requires legacy email subscribers to upgrade their subscription - one time only - in order to attain a password-protected login and gain complete access.

Click here to complete this one-time subscription upgrade

  

Existing Users Log In
   
New User Registration
*Required field

Comments are closed.