The Valuation Pipeline; from Data to Evaluation
Session Description
Creating reliable mass valuations is often treated as an exercise in statistical model optimization. In reality, creating scalable, high cadence valuations requires deep investment across the entire valuation pipeline; from data collection and integration all the way through to model evaluation, interpretability and reporting. Done right, the Data to Model to Evaluation progression can form a virtuous circle of model improvement leading to efficient and engaged teams and high quality valuations. When it comes to mass valuations, the pipeline is only as strong as its weakest link.
The Valuation Pipeline; from Data to Evaluation
Grand Hall GH
Creating reliable mass valuations is often treated as an exercise in statistical model optimization. In reality, creating scalable, high cadence valuations requires deep investment across the entire valuation pipeline; from data collection and integration all the way through to model evaluation, interpretability and reporting. Done right, the Data to Model to Evaluation progression can form a virtuous circle of model improvement leading to efficient and engaged teams and high quality valuations. When it comes to mass valuations, the pipeline is only as strong as its weakest link.
