They note that “greater value can be obtained by combining GFT with other near–real-time health data.” For example, “by combining GFT and lagged CDC data, as well as dynamically recalibrating GFT, we can substantially improve on the performance of GFT or the CDC alone.” Big data could likewise be an effective tool for better understanding the unknown, in areas where CDC data does not work well, such as presenting flu prevalence at very local levels.
via Why Big Data Isn’t Necessarily Better Data | Observations, Scientific American Blog Network.
Polemisch gesagt: „Und dann führen wir noch einen Faktor ein, der die Vorhersage ex post an die Realität anpasst“.
