Angoss Software Corporation, which provides predictive analytics to businesses, has announced KnowledgeSEEKER and KnowledgeSTUDIO Version 8.5, which includes advances across the complete Angoss predictive analytics software suite.
The company has also introduced a new Cloud deployment option.
The new features more firmly support text analytics classification, credit application scorecards and data analyst productivity.
The new Cloud deployment option offers predictive analytics to a wider community of users to use analytics on-demand for a fixed term.
KnowledgeSEEKER is a business intelligence software product with data mining and predictive analytics capabilities including data preparation, profiling, advanced data visualization, decision tree and strategy design functionality.
KnowledgeSTUDIO builds upon the data analysis and predictive analytics capabilities included in KnowledgeSEEKER, with many advanced modeling and predictive analytics features for high-performance business users and quantitative analysts.
Features of KnowledgeSEEKER and KnowledgeSTUDIO Version 8.5 include R Support, where users gain faster time to action to both import and export tables directly from R; Text Analytics, allotting users more options and controls to speed insights gleaned from unstructured data analysis through classification via concept topics, query topics and user-defined entities; and reject inference, wherein lending organizations and credit departments can improve customer acquisition and mitigate risk with the use of three methods to infer the behavior of rejected credit applicants when modeling credit scorecards.
And with a process map, users can visually track and audit their analytical project workflows.
Cumulative lift and lift reports allow users to compare model performances to select profitable target volumes by deciles for faster comparative analysis. By saving and organizing visual charts and graphs in the chart library, users can edit, share and use saved charts.
"Predictive analytics is gaining mainstream adoption as companies embrace data-driven decision making for competitive advantage," stated Martin Galligan , president and CEO at Angoss.
"Angoss continues to focus its research and development efforts to meet the needs of all analytics users regardless of their analytical environment or level of expertise. R developers are now able to access the power of our best-in-class Decision Trees and Strategy Trees while improving productivity and time to value. The on-demand, Cloud deployment option makes analytics more accessible and affordable to a wider community of analytics users," Galligan added.
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Edited by Braden Becker