Data Models
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.
Examples:
- Financial Services: Enabling the Residential Property Index - Ventana developed the algorithm behind theResidential Property Index™ (RPX™), which has enabled one of the fastest-growing derivatives markets ever. More...
- Pharmaceuticals: Leveraging Individual Patient Data - 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. Analysis of these data yields important insights, both as inputs to more aggregate models, and independently.
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- Surveys: Improving Survey Data - For clients in pharmaceuticals, hospitality, technology and manufacturing, Ventana has discovered ways to revise surveys, the samples, and the analysis procedures, to get more reliable knowledge for less money. More...
- Technology: Debunking Misleading Cost Data - Ventana showed a leading electronics firm that they had not figured out how their new in-house analytical capabilities would improve decision-making. More importantly, Ventana made the case for implementing more accurate cost measures, leading to a 60% gain in profitability. More...