Customers: MDM Bank Moscow; Financial services, investments and audit Contractors: R-Style Softlab Product: RS-DataHouseProject date: 2016/09 - 2016/11
Number of licenses: 18
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On December 9, 2016 R-Style Softlab company together with PJSC MDM Bank announced completion of implementation of the corporate data warehouse (CDW) and 17 show-windows for reporting of IFRS in this credit institution. Data from four systems sources were combined with the help of an information and analytical system of RS-DataHouse in a uniform array of primary information which partially is already used, including, for creation of other types of the reporting: managerial, tax and obligatory.
Project Progress
The storage created by R-Style Softlab copes with loading and data scrubbing about more than 15 million clients, their accounts and transactions, providing daily loading and information processing, at the same time without overstepping the bounds of "a technology window" of bank.
For measure calculation, necessary for bank for the reporting of IFRS, show-windows by all types of transactions and types of financial instruments were implemented. Specialists of credit institution had an opportunity to work with summary information on IFRS portfolios and also to make detailing of the selected reporting indicator.
"Distinctive feature of this project is not just implementation of the tool for receiving a certain type of the reporting, and implementation of the complex process including preparation of own command of bank which will be able independently or using the supplier of the solution to accompany and develop this tool. Here the important role was played by flexibility project organizations from R-Style Softlab regarding creation of a joint command, the organization and conducting joint development within the project". Denis Petrenko, chief of the department of development of information systems of PJSC MDM Bank |
"R-Style Softlab and MDM Bank cooperate more than 10 years. Our system meets all requirements of modern large bank of which permanent growth of the database is characteristic. And in this project we could fulfill all requirements, provide quality of data, high speed of loading, and, besides, achieve additional decrease in load of data sources using Oracle LogMiner technology". |