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dVelox Enterprise is a predictive platform easier of market which enables to business users to automate the process of taking decisions of theirs critical process. They can know and understand better the future more probably allowing beating them to it.
 
With dVelox Enterprise they might go into complex scenarios in depth as customers retention, fraud prevention cross selling actions; to find relationships cause-effect in them and to determinate probabilistically which option is the most appropriate for that same scenario.

In a scenario where there is not only taking decisions, but also they must take them immediately, the business expert might optimize  its decisions in real time, identifying and solving process to engage in measures that it solved immediately. The result more tangible can be reflected in terms of cost reduction and decisions anticipation in accordance to the competition.
 
dVelox Enterprise offers the business users accurate predictions and ease of use with proven results: increases in a efficient prevention by an average 35% together with a costs reduction by an average del 17%.

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Why dVelox Enterprise is different?

• It improves the accuracy as the tool learns automatically from past decisions and new data

In contract of others products, its power engine of automatic learning allows it a feedback of the obtaining results in past decisions and new data offering better results as time goes. It is capable of going through automatically the predictive models that it builds and alert the user of its degradation when the time goes for the models were updated permanently, deleting the need of manual maintenance.

• Ease of use with maxim power

It is designed for business users. That means it doesn’t require advanced either statistic knowledge to obtain the maxim performance.

The taking decision process automation enables the business users all the complexity of predictive algorithm, offering them a simple and ease interface with relevant information for its function.

The 64bits architecture allows the users define and monitoring business complex scenarios based on automatic events, rules, alerts and orders towards others systems.