DMWay offers businesses an end-to-end solution that automates the analytic process and makes predictive analytics accessible and affordable for all.The analytics engine has been tested against expert data scientists time and again, and has proven to outperform most human counterparts.
Predictive Analytics Software
Contact for Pricing
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
The DMWay Analytics Engine is a robust solution available that provides the highest level of modeling. The Analytic engine has been designed to model the steps taken by experienced data scientists in order to build accurate and effective analytics model.This innovative solution is made possible by using an expert system approach, rather than a “robotic” approach, to build models that mimic the way that an experienced data scientist goes about when building large-scale predictive models. The DMWay scoring engine is the tool recommended for businesses seeking assistance in the deployment of the predictive analytics results provided by the Analytics Engine. The DMWay Scoring Engine is able to drastically reduce the amount of time needed to integrate the results.By and large, integration of predictive analytics models requires the collaboration of R&D teams with IT professions, QA teams and more.Instead of waiting for the IT team to find the time, manpower and skills to integrate the model formula. The scoring engine manages the model update and eliminates the need to incorporate scoring code within operational system every time the model changes.By giving the data scientists the ability to activate the scoring process instantly and without involving external IT help, companies are able to save time and ensure the models deployed are the most current ones. DMWay allows Rich set of tools for easy deployment in various environments by generating the model scoring code in R, Java and SQL or use our scoring engine for easy integration. The DMWay solution allows users to build better predictive models in hours or days rather than months, that can be adapted to suit any industry.
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.