Case Study: Information-analytical system implementation in the West-Urals regional bank of Russian Savings bank

Sergey Ivliev, Natalya Schukina

This Case study describes key characteristics of automated information-analytical system, developed by PROGNOZ company for the West-Urals regional bank of Russian Savings bank.

For the period of 2005-2009 the automated system grew to integrate 10 analytical units and to provide common analytical space for activity of more than 2000 users. Technologically the system is based on Oracle 10g, Microsoft IIS on the application server side, and Analytical Suite PROGNOZ as a BI platform.

Advantages of implementing the integrated analytical system for the bank with many branches and complex organizational structure include: possibility to lower number of inquiries to business transactional software; possibility to consolidate data from various sources; “economy of scale” in organizing information work-flow etc.
West-Urals bank demonstrates sustainable results in system’s efficiency. The project breaks even for 1.6 years, with 60% ROI for the first year.

Keywords: Large scale decision support systems in banking; Business intelligence; Analytical systems implementation effect.

Natalya Schukina

Bio

Candidate of economics, MBA, Assistant to the President of West-Urals regional bank of Sberbank, senior lectuter at Perm State Technical University, Perm, Russia.

Educational background: Urals State University of Economics, Ekatherinburg, qualification “International Economic Relations”; Old Dominion University, Norfolk, VA, major in “International Business”; Candidate of economics degree at Urals State University of Economics in 1999; MBA LINK “Strategy”, at International Management Institute in 2006.
Work experience: From 1997 till present works for West-Urals regional bank of Sberbank. In 2001-2008 was the Head of Banking Technologies Department of the regional bank.
From 1998 till present gives lectures at Perm State Technical University, currently on “Banking Operations and Services” and “Information Systems in Credit Institutions”

Sergey Ivliev

Bio

Sergey V. Ivliev, is the Head of Financial Institutions Solutions Division of the PROGNOZ company.
Working for PROGNOZ since 1996 at development of information analytical systems and risk management systems, and modelling of financial institutions operation.
Graduated in 2001 from the Perm State University, faculty of Economics with excellent results. PhD in Economics (2004). Associate Professor at Perm State University. Courses: Technical Analysis; Financial Markets Analysis and Modeling; Risk Theory.
Author of more than 20 scientific publications, has officially registered certificates for the following programs: PROGNOZ.Risk Management software suite for risk management and analysis, PROGNOZ.Dynamic Models Designer software suite for dynamic modelling, Automated System to evaluate default probability of commercial banks, and others.