Client: confidential

Project: During a major EMR system maintenance project three NTR developers converted more than four hundred Arpeggio reports to Crystal Reports 8.5 in less than four months simultaneously modifying the database schemes for the new reports.

Client: Finance department of a Moscow city government

Description: We developed a methodology for cost-benefit analysis of an automated budget process management system.

Our methodology includes:

• cost/performance ratio indexes for the target information system;
• approaches to choose the architecture of an information system;
• assessment of the total cost of ownership of an information system;
• creation of systematic preferences in technologies, processes, methods, suppliers, standards and legal conditions;
• assessment of planned costs and values-at-risk (determined by the aggregate value of business risks, probability of technical risks and the relationship between them); and the
• cost-benefit analysis of the system.

Client: One of the largest financial and industrial holdings

Description: We created a methodology to choose software architecture of complete ERP/SCADA solution for a large retail enterprise, minimizing the total cost of ownership.

Description: A program to estimate the cost-effectiveness of machinery and tool inventory. The first version of Tailor was presented at the 2002 Metal Processing Exhibition. Current users include:

• the MPO-Rumyantsev Joint stock company;
• JSC "Ryazan Machine Tool Plant";
• GAZ - Gorkov Car Company;
• IzhMashAvto - Izhevsk Car Company;
• Rostselmash;
• Avtodiesel.

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Client: a Moscow sewing factory

Description: A business management system (BMS) that provides all users, executives through factory workers, with real-time data access of applicable company-wide functions.

Special challenges: A very tight budget and a client, with no BMS experience, unable to identify the scope of tasks to include in the project or provide viable project requirements information.

Working closely with all levels of management, NTR developers analyzed all existing business processes, in conjunction with company needs, and wrote the formal specifications for a comprehensive BMS that would

• collect data from all departments in the company (finance, production, warehouse, etc., and all management levels);
• solve remote-access challenges for buildings with no direct connection to the corporate office LAN; and then
• apply the system from executive offices through factories.

The system has worked flawlessly since it went live in 2001.

Client: A large Moscow bank

Description: AI-based credit risk estimation, using an extended questionnaire and neural networks for cases when there is no credit history available.

Special challenge: Create an advanced, automated credit scoring technology for individuals with no previous credit history.

The system:

• collects and stores client questionnaires and creates an audit trail of all interactions with them and their affiliates;
• uses neural networks to analyze client information, determine credit risk, and provide a credit score; and
• integrates with both the call center module and the bank’s core financial system.

The implemented system has all the features of a typical financial services high technology CRM.