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Sector

Banking and finance

Year

2011

Objective

To automate document capture and reduce processing time

Customer

Sberbank of Russia

Area

Electronic document management

Technologies and products involved

  • CognitiveForms

Results

The introduction of the system for capturing payment documents made the process of manual entry of documents from 5 to 10 times faster

Projects based on Cognitive Forms enable the export of processed data into virtually any automated information system
Vladimir Arlazarov
Project Manager

Sberbank of Russia

Automation System for Capturing and Processing Payment Documents

About the customer

Sberbank of Russia is the largest bank of the Russian Federation and the CIS. It accounts for more than a quarter of Russia’s banking system (27%) in terms of assets, and for 26% (as of January 1, 2011) in terms of bank capital. Founded in 1841, Sberbank of Russia is a modern full-service bank, which with a wide range of banking services caters for various groups of clients. Sberbank accounts for the largest share of the deposit market and is the primary lender in the Russian economy.

About the project

The system for the entry of payment documents provides capability for the entry of banking documents into the various automated banking systems and electronic document archives.

The system's capabilities include:

  • different document processing modes: page-by-page, package, pseudo-package;
  • special modes for adaptive scanning of original documents with pale printing or boldface type;
  • the user’s optional connecting of various dictionaries and logical tests;
  • the user’s management of standard contextual spelling;
  • export in various formats including dbf, dsf, r-maket, txt, ODBC, Yevfrat, xml, etc.;
  • integration with ABS Diasoft, RS-Bank, etc.

Fig. Examples of the documents involved

The results achieved

Adoption of the system for capturing payment documents renders the process of manual entry of documents 5-10 times faster, thus purchasing a multiple increase in the amount of information a bank's employees can process and reducing the number of errors as compared with the number typical of the traditional method of data entry. It is a replicable solution suitable for large, medium-sized, and small banks alike.