Forecasting requires data
Before we predict we need to know what variance makes sense
Volume requires knowing how many CNAs
Specific measures (CVSS, Exploitation) requires knowing distribuiton
May forceasting descisions to be made
Time Granularity (Yearly? Monthly?)
Model Type (ARIMA, ETS, BATS, STL?)