Ventana® Data Models focus on understanding and interpreting existing data sets. They are used to separate true signals from sampling artifacts, triangulate among different measurements of the same system, test hypotheses about underlying causes, and identify both redundant information and critical information gaps.
In building simulation models of pharmaceutical markets over the last fourteen years, one of the biggest changes has involved the availability of data for very large blinded samples of individual patients. In Europe this trend moved somewhat ahead of the United States. But now, the availability of data from managed care organizations, hospitals and large
A leading electronics company hired Ventana to examine in-house business modeling activities and the company’s data for supporting them. The purpose of the Ventana work was to recommend ways to strengthen in-house analytical efforts and to help improve the performance of a failing sector in the company’s corporate portfolio. Within days of starting work, Ventana
Ventana and Radar Logic have developed a methodology for examining the vast amount of data that exists in the real estate market. Our patent-pending1,2 technology harnesses powerful methods of analysis from fundamental nuclear physics and innovations in statistical analysis in order to translate this data into the Radar Logic Daily™Prices, an accurate reflection of the values
Typically, Ventana’s analytical methods employ large amounts of both quantitative and qualitative date. This is because most assignments involve serious attempts to validate the cause-and-effect represented in a given model – as well as the ranges of uncertainty that devolve from errors in both the input data and the model formulation. Historically, survey data has
