Building of business information management systems
20%Reducing IT costs
3-5months to implement quick win business-relevant tasks
MINErrors minimization in management and operational reporting
Building of the brand new sole analytic bank data vault
Сonsolidation of several banking data vaults into the one data vault
Expanding of functionality, developing an existing data vault
Our approach as a Business Integrator
Functions and Tasks in the project
We are a Business Integrator
Minimal efforts by the businessOur business analytics will hold an interview, prepare business requirements and coordinate them with you
Reducing efforts of a Bank’s IT serviceYour IT service will be able to get an optimal solution for your Bank together with our system analysts and system architects.
Optimal solution for your taskChoose an optimal solution for your Bank together with our experts, specializing in the basic modern platforms and systems
We undertake functionality testingOur specialists will test a developed solution in compliance with both functional and business requirements
Solution structure
The central banking data vault is a “Single Source of Truth”
Solution technologies
We cover the whole project cycle of the development of a banking data vault
DB/2, Sybase, Oracle, SAS , MS SQL, PostgreSQL, SAP Hana, HP Vertica
SAS BI, SAP BO, QlickView, RB Dashboards, Oracle BI, IBM Cognos
Data modelIBM BDW, SAS Banking DDS, Oracle OFSAA, Sybase DDS
SAS DI + SAS MDS, SAP DS, IBM Datastage, Clover ETL
Data Governance & MDMIBM DGFW, IBM Infosphere, SAP BusinessObjects Data Services, Oracle MDM
AgileAgile-approach in the project management
Implementation stages
Project Example
The single data vault was created in UniCredit Bank on the basis of SAS solution in 2012-2013. A new banking system was offered in 2016.
98 business requirements have been gathered and grouped into the tasks. The full list of all business tasks of the Bank (53 tasks) has been formed.
The evaluation of the importance and difficulty of every task realization was carried out, and an implementation plan, split into 3-4 months periods, was created on this basis.
Data marts for the first priority tasks have been implemented (Factoring, Analytical CRM) without central data vault usage
By the same time a new SAS data structure has been build and implemented
The processes of data gathering, cleansing and enrichment have been built. The process of data quality control has been implemented.
The implemented data marts have been switched to the central data vault
Our advantages
We are experts in the banking business
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Business analytics with the real working experience on the key positions in TOP10 banks
Large-scale “turnkey” projects with the further guarantee and support
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Projects from business ideas to an implementation with the amount of more than 700 person-days