Data Quality for Analytics Using SAS

Chapter 15: Introduction to Simulation Studies

15.1 Rationale for Simulation Studies for Data Quality

Closing the loop

Investment to improve data quality

Further rationale for the simulation studies

15.2 Results Based on Simulation Studies

Analytical domains in the focus of the simulation studies

Data quality criteria that are simulated

15.3 Interpretability and Generalizability

Simulations studies versus hard fact formulas

Illustrate the potential effect

15.4 Random Numbers: A Core Ingredient for Simulation Studies

The simulation environment

Random number generators

Creation of random numbers in SAS

Random numbers with changing start values

Code example

15.5 Downloads

15.1 Rationale for Simulation Studies for Data Quality

Closing the loop ...