DIS Group will be engaged in development of a system of preparation of test data of Sberbank based on Informatica TDM

2017

DIS Group at the beginning of December, 2017 was announced a victory in an open competition of Sberbank on development of AS "By preparation and dissemination of test data (Depersonalization)" based on Informatica Test Data Management.

Project Tasks

Within this DIS Group project will develop processes for profiling (search of information, necessary for depersonalization) and depersonalization about 250 systems of bank based on DBMS Oracle IBM DB2 Microsoft SQL Server, Teradata and Hadoop which are unrolled on platforms based on Linux AIX, HP-UX and Windows. The connector will be also developed for GridGain, for the purpose of a possibility to execute profiling and depersonalization of data.

Product Selection

Informatica TDM is the platform for depersonalization of data and creation of test environments. The solution allows to support all stages of lifecycle of depersonalization of data: from search of information, necessary for depersonalization, before automation of verification of results of depersonalization by specialists in information security.

The Informatica TDM platform was selected by PJSC Sberbank a few years ago within the open competition on which solutions of the large international companies as the best solution in the area on set of characteristics were presented — Mikhail Komarov, the director of business development of DIS Group told. — This tender expanded a line of the products Informatica used by bank and continued our strategic cooperation.

The feature of the solution consists in the simple and clear interface for different user groups, the high performance and ample opportunities on connections to different data sources.

For different data types it is possible to set as the preset rules on masking (for example, masking of credit cards with preserving of the issuer), and to create own rules on masking for preserving of business integrity of data (for example, masking of a TIN with preserving of checksum).

The created rules easily integrate in policy on masking for different tasks (for example, internal development, external development, etc.). Thus it is possible to receive the disguised copy of data, the most similar to initial data, with preserving of all features. It allows to reduce a development cycle and testings as upon transition to testing on productive data there are much less errors. Also the solution saves referential integrity that allows to hold integration testing between the different systems on the depersonalized environment.

2015