AdvancedMiner is an integrated analytical tool for data processing, analysis and modeling. With a graphical interface (Workflow) it offers a complete and user-friendly environment for data exploration.
Allow customer segmentation and profiling
Analyze data and prepare data modals
Allow data exploration
Allow fraud detect and risk analysis
Contact for Pricing
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
AdvancedMiner is an integrated analytical tool for data processing, analysis and modeling. With a graphical interface (Workflow) it offers a complete and user-friendly environment for data exploration. Advanced miner allows for data processing. AdvancedMiner provides features for extracting and saving data from/to different database systems and files, performing a wide range of operations on data, such as sampling, joining datasets, dividing into testing/training/validating sets, assigning roles to attributes, graphical and interactive data exploration, outlier filtering, supplying missing values, PCA, various data transformations, building association models, clustering analyses, variable importance analyses, constructing various analytical models with the use of diverse Data Mining and statistical algorithms (such as classification trees, neuron networks, linear and logistic regression, K-means), creation of scoring code so that the models can be integrated with other IT applications (scoring code may include the models as well as data transformations) and model quality evaluation and comparison of Data Mining models (LIFT, ROK, K-S, Confusion Matrix). The software allows for interactive data exploration. The software assist in graphical data explorations too. Outlier filtering can be performed by the software. The software performs various analysis function such as clustering analysis and variable important analysis. The software can prepare various types of data models. The software can evaluate these models. The software presents quality reports after modal evaluations. The software has some advanced features too. In these advanced features integration with JAVA and R package can be done. In advanced features, the software can support SQL language too. The software conducts risk analysis, credit scoring, customer segmentation, customer lifetime value analysis, validation of scoring modals, customer profiling, and market based analysis, churn rate analysis, marketing campaign optimization, and fraud detection etc. the software can also provide recommendation for cross selling and up-selling.
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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.