Current data mining/machine learning in Statistica is okay but not enough, there is no latest or advanced classification algorithm available which is 1)not competitive with open source/ some other vendors 2) performance will be improved if introduced advanced classification algorithm such as XGboost Tree to be leveraged to solve the business case
I voted for this idea. I agree that adding XGboost would help keep Statistica competitive with other vendors. I would just add that model tuning should be incorporated into any XGboost implementation. Normally this is done with a grid search across the hyper parameters that are desired to be tuned.