Data Quality for Analytics Using SAS

Chapter 16: Simulating the Consequences of Poor Data Quality for Predictive Modeling

16.1 Introduction

Importance of predictive modeling

Scope and generalizability of simulations for predictive modeling

Overview of the functional questions of the simulations

16.2 Base for the Business Case Calculation

Introduction

The reference company Quality DataCom

16.3 Definition of the Reference Models for the Simulations

Available data

Data preparation

Building the reference model

Process of building the reference model

Optimistic bias in the models in the simulation scenarios

Detailed definition of the data and the reference model results

16.4 Description of the Simulation Environment

General

Input data source node CHURN

START GROUPS and END GROUPS node ...