Platform

All platform data is stored as a customizable object model which is open to specifying a necessary hierarchy, relationships, and inheritance rules

• Display designer (Drag&Drop mode)
• Menu and registry settings
• Personalizing workspaces and screen elements depending on the user

Customization of business processes in BPMN 2.0, task management, document and object routing, execution control and business-process monitoring

• Screen objects settings (setting rules of visibility, condition tips, logical and arithmetic checks)
• Business-process settings (settings for branch transitions and processes end conditions)
• Standard terms and notifications settings
• Platform elements and dates related algorithms

• Creating unlimited amounts of models
• Setting properties of models
• Determining calculation steps
• Connecting algorithms for calculating indicators
• Defining calculation data composition
• Applying algorithm registries
• Types of algorithms: variables, procedure, condition, formula
• Customizing of calculations using arithmetic, logical and statistic operations
• Customizing of cycles, using internal/external algorithms and methods DataMining (correlation and regression analysis, factor analysis, decision trees, neural networks);
• Algorithm variability support

• Customization of templates and the process of creating documents from platform data and external sources
• Document generation and reconciling
• Document completeness control
• Reviewing, automatic generation of disagreement protocols
• Barcoding
• Application of a formed versions and follow materials archive
• Export to Microsoft Word, PDF, LibreOffice

• Parametric table reports designer
• OLAP reports designer
•  Special widget presets (ex. Dashboard to monitor the effectiveness of the lending processes)
• Export analytical reports and data

New integrations set up and customization:

• Uploading/offloading and processing data (scheduled, triggered, manual)
• Uploading/offloading data from external sources (JDBC, REST, SOAP, JMS)

Data source:

• internal service;
• external service;
• external DBMS;
• file.

Data conversion:

• by algorithm;
• by reference;
• by duplicate removal;
• by creating groups and aggregation

Data receiver:

• internal database;
• external service.