dVelox overcomes classic drawbacks of data mining Business users are aware of the value that the results provided by data mining techniques can offer, but also of the difficulties of their use either because of its complexity, because of the data quality itself, or because of the effort required. dVelox effective predictive engine provides business users with data mining capacities.
Traditional statistical approximations and data mining techniques are suitable when a few models are needed or when time is not a determining factor in order to make the decision. Besides, traditional techniques need to reduce the number of total variables to construct a reliable and precise model.
dVelox has an innovative paradigm that allows developing a large volume of predictive models automatically and very fast. For dVelox, doing it keeping and even increasing the precision level and reliability is a number one priority and with no need to reduce the number of total variables.
There are scenarios where an interaction with the client may result in income loss, an opportunity loss or even in the loss of the client itself.
These interactions usually last a few seconds, so, to act proactively means to make decisions and to carry out actions in milliseconds.
dVelox platform, by means of precise and instantaneous simulations, provides business users with the best action options according to each scenario.
- Explanation of the prediction
In contrast to other techniques, dVelox is not neither a black box nor a crystal ball. dVelox explains the causes that have determined a certain effect or which are the most probable causes.