*Updated Data Scoring Application Emerges*
***Loan quality is the name of the game these days. To this end, Plug&Score, a business division of Scorto Corporation, has released an updated version of the Plug&Score credit scoring and risk management solutions. The Plug&Score solutions family consists of scorecard development software Plug&Score Modeler, credit scoring system Plug&Score, and loan origination system Plug&Score Loan Origination.
****“We’ve been most thorough at analyzing feedback from Plug&Score users,” says Dmitry Krivonosov, Technical Developments Director at Plug&Score’s R&D Centre. “Our vision was to go beyond increasing performance speed and adding to scorecard modeling capabilities. We have designed the whole set of new features to provide a simple, robust and efficient way of dealing with data insights.”
****Lenders, especially microfinance organizations, are facing the strong need for a reliable risk evaluation tool. Plug&Score solutions allow financial organizations to improve credit portfolio quality and deliver swift and confident service to their customers. The updated versions of Plug&Score are already rolled out to the current 250+ users. The updates have been delivered at no cost.
****Plug&Score solutions integrate scoring models into decisioning and risk management processes. Scorecard development software Plug&Score Modeler, credit scoring system Plug&Score and loan origination system Plug&Score Loan Origination allow users to make informed credit decisions and optimize their risk exposure.
****More features of the updated version of Plug&Score solutions include:
****>> A new mode is added to the workflow: Raw Data Processing;
****>> Data anomalies (missing values, wrong type values, numeric outliers) are detected automatically;
****>> Numeric columns with few values (e.g. 1, 2, 3) are automatically transformed to categorical ones;
****>> Results of raw data processing are displayed: anomaly values, detected columns, distributions, data statistics;
****>> Data analysis options can be defined by user;
****>> The user can merge several categories to a single one;
****>> The user can delete certain categories (all rows that contain the deleted category will be excluded);
****>> The user can rename categories and columns;
****>> The user can change the type of a column manually (e.g., transform numeric column to categorical one); and
****>> The dataset can be abridged to a lower amount of rows while keeping data distribution same as in the original dataset.