Prognoz Payment System Data Analysis. Description of the solution

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1 Description of the solution Prognoz, 2015

2 Content 1. Goals and Tasks Proposed Architecture Functionality Payment system operation analysis Cash flow monitoring and analysis by transactor Payment profile analysis by transactor Summary information analysis by transactor Tools Data visualization Data warehouse Administration and information security Technical Requirements Hardware Requirements Software Requirements Competitive Advantage Proven Results (15)

3 1. Goals and Tasks Prognoz company is pleased to propose Prognoz Payment System Data Analysis, a comprehensive solution designed to monitor and analyze payment data processed by payment systems, such as national, international, and private, of a particular organization, and so on. The Prognoz Payment System Data Analysis provides comprehensive support to: Collect, consolidate, and store payment system data Compute cash flow ratios by transactor and payment system ratios, using detailed data on payments made by all parties Monitor and analyze cash flow ratios by transactor, leveraging drill-down capabilities Create analytical reports by individual transactor or transactor groups and summary reports by territory or the payment system as a whole The solution will enable your company to: Improve oversight over transactor organizations and assess their financial position using a single analytical toolkit Make your decision-making more operational, informed, and efficient while exercising supervision over the payment system and analyzing its operation Leverage a single toolkit to collect, consolidate, and analyze payment system data, all in a timely fashion 3 (15)

4 2. Proposed Architecture Fig.1 below illustrates the functional and technological architecture of Prognoz Payment System Data Analysis. Fig.1. Prognoz Payment System Data Analysis architecture. The solution is based on the following key principles: Openness due to open architecture principles, including a capability to modify and add extra modules to Prognoz Payment System Data Analysis Reliability due to uninterruptable operation of Prognoz Payment System Data Analysis and data loss protection 4 (15)

5 3. Functionality Below are functional modules of Prognoz Payment System Data Analysis: Payment system operation analysis Cash flow monitoring and analysis by transactor Payment profile analysis by transactor Summary information analysis by transactor 3.1. Payment system operation analysis The module will enable users to: Analyze the number and composition of payment system transactors by territory and category Monitor and analyze changes in transactor account balances by territory and the payment system as a whole Monitor and analyze the number and amount of payments made via the payment system: Analyze the number and amount of incoming payment documents by territory Analyze the number of processed payment documents and actual write-offs from transactor accounts Analyze immediate payments made via the payment system, by category, such as territory, transactor, and so on Generate reports on payment system operation indicators as a whole and by territory Fig.2. Payment system operation analysis. 5 (15)

6 3.2. Cash flow monitoring and analysis by transactor The module will enable users to: Monitor and analyze key activity indicators of transactors: Monitor and analyze account balance changes by transactor Monitor and analyze account footing changes by number and amount of payments made Monitor and analyze the state of transactor account indicators: Monitor state of transactor account indicators Identify transactors whose state of account indicators show deviation from the level established Monitor and analyze changes in cancelled payments Create reports detailing transactor cash flow indicators: T-balance sheet Average account footings and balances State of account monitoring, and so on Fig.3. Cash flow monitoring and analysis by transactor. 6 (15)

7 3.3. Payment profile analysis by transactor The module will enable users to: Analyze counterparties: Identify a transactor's main counterparties, debiting or crediting funds Analyze settlement performance by selected counterparty Create a transactor payment registry and filter by various criteria, such as counterparty, account, period, and so on Analyze settlement by branch: Analyze the distribution of a transactor's payments by branch Create a registry detailing payments of a selected branch during a given period Analyze the structure of transactor payments by category, such as: Receipt of funds by source Write-off of funds by designation of resources Payments by settlement document type Analyzed information on a selected organization s payments grouped as per required criteria, such as counterparty type, their location, and so on Analyzed settlement performance across each group Create reports on a transactor's payment profile: List of transactor counterparties Credit and debit footings Cancelled payments, and so on Fig.4. Transactor payment profile analysis 7 (15)

8 3.4. Summary information analysis by transactor The module will generate analytical reports, providing summary information on all transactors registered within a specified territory and across the payment system as a whole, and: Generate summary reports on the financial position of transactors Generate summary reports on the state of account indicators of transactors Generate summary reports on the payment profile of transactors Generate summary reports on cancelled payments Select transactors meeting specified criteria, such as: Zero account footings/balances during a period Payments exceeding a specified amount Settlements with specified client categories, such as individuals, state-funded organizations, and so on Cancelled payments, and so on Fig.5. Transactor summary information analysis 8 (15)

9 4. Tools The system toolkit is built atop the Prognoz Platform, a package of software tools and services enabling work with applications within a three-tier architecture. Fig.6 below illustrates the architecture of the Prognoz Platform: Fig.6. Prognoz Platform architecture. The Prognoz Platform equips users with the following tools: Data integration: data warehousing, master data management, data extraction, transformation, and loading from various sources Reporting and visualization: printer-friendly scheduled reports, ad-hoc reports (OLAP), and analytical notes Modeling and forecasting: econometric modeling, optimal management tasks, and mathematical and statistical data analysis Application development toolkit Advanced access delimitation, activity logging and administration, and tools to create protected automated systems up to 1B protection class inclusive The standard solution delivers the following tools to customize and work with the functional modules: Data visualization Data warehouse Administration and information security 9 (15)

10 Set out below is an outline of the aforementioned tools Data visualization Within the system, dashboards are the main data visualization tool. Each dashboard shows a definite logically separated indicator or a group of indicators. Dashboards enable users to: Customize a personalized list of analyzed transactors Visualize data in various modes as a table, graph, or digital map (for indicators broken down by territory) Preview and print Upload to Microsoft Excel System section and dashboard composition and structure can be configured as per requirements of a particular organization. In addition to dashboards, scheduled and express reports enable users to visualize data. Such reports are created and visualized using the Web components of the Prognoz Platform. Scheduled reports. System users can create, view, and print customized reports that contain spreadsheets, charts, and digital maps. Both multidimensional and relational data can be used as data sources for scheduled reports. Such reports help users to: Display data warehouse query results as various spreadsheets Manage report data selection parameters visually Customize report design options Use hyperlinks Create charts and maps Page vast amounts of data, for example, a multiple-element payment registry Drill down from aggregate ratios to payments in a report Customize preview and report printing settings Export reports to external formats such as XLS, RTF, and PDF OLAP-based express reports help perform online multidimensional data analysis and: Analyze data from various sources on a concurrent basis and place it in a single spreadsheet Drill down and roll up Filter, sort, and search Rotate, adjust to scale, and scroll through spreadsheets Calculate and visualize ratios online Create printing forms automatically Export analysis results to external formats such as XLS and PDF 10 (15)

11 4.2. Data warehouse The system's data warehouse delivers data extraction, transformation, and loading tools to populate the data warehouse and to: Extract and receive data from external sources Transform and cleanse data to achieve the required quality Load data to the data warehouse The tools enable data import from various external sources: Text files, such as TXT, CSV; other file types can be processed, such as XML, HTML, XLS, and so on, if necessary Other DBMS, such as Oracle, MS SQL Server, and so on The data warehouse also contains automated update components for master data needed to implement data processing business logics: Transactors dictionary Territories dictionary Chart of accounts The data warehouse manages vast amounts of data, processes millions of source data entries daily, and stores billions of entries. Within the data warehouse, data extraction, transformation, and loading tools can be customized and tailored to fit the customer s requirements and constraints Administration and information security Split-level software tools ensure compliance with restricted data protection requirements: Conventional access administration and delimitation tools of the Windows operating system Built-in protection tools of a DBMS in use Data protection tools within the Prognoz Platform For data protection purposes, users are not allowed direct access to the data warehouse while the system audits user activity and controls access to protected objects. In addition, data is protected when imported from sources and processed. Extra protection mechanisms can be utilized, depending on the software in use. Within the system, a set of mechanisms and data protection tools can be customized and tailored to fit the requirements of a particular organization. 11 (15)

12 5. Technical Requirements 5.1. Hardware Requirements System components are located on the following server equipment: DBMS server Application server Web server Please find below recommended technical specifications for servers for 50 concurrent users (Table 1). Table 1. Recommended technical specifications for servers Server Technical specifications DBMS server Application server Web server - Processor: Intel Xeon Processor 2Core 2.66 GHz - RAM: 4 GB - Disk array space: 50 GB or more. Disk array space depends on volume of loaded data. We recommend using a high-performance resilient disk subsystem based on RAID10 and other RAID configurations. - Processor: Intel Xeon Processor 2Core 2.66 GHz - RAM: 8 GB - Disk array space: 50 GB - Processor: Intel Xeon Processor 2Core 2.66 GHz - RAM: 4 GB - Disk array space: 50 GB User workstation configuration should meet the minimum requirements for a Microsoft Windows-based browser and Microsoft Office 2000 or higher. Recommended user workstation technical specifications: Processor: Intel Core 2 Duo 2.40 GHz RAM: 1 GB Hard disk space: 2 GB or more 12 (15)

13 5.2. Software Requirements System software should contain licensed software. Please find below recommended software (Table 2). Table 1. Recommended system software Hardware System software DBMS server Application server Web server User workstation - Operating system: Windows Server 2003/2008/2008 R2 (x64) or other OS for working with a selected DBMS - DBMS: Oracle 10g or higher Note: Use other DBMS as needed (MS SQL Server 2008 or higher, IBM DB2 9 or higher) - Operating system: Windows Server 2003/2008/2008 R2 (x64) - Operating system: Windows Server 2003/2008/2008 R2 (x64), AIX 5.3 or higher, Linux and Unix, supporting Apache Tomcat - Apache Tomcat 6 or higher or any other comparable product Note: Use portal server IBM WebSPhere Portal 6.1 or higher to access the system, if needed - Operating system: Windows XP/Seven (x86 or x64) - Browser: Internet Explorer 8 or higher Google Chrome 9 or higher Mozilla Firefox 3.6 or higher Opera 11 or higher Apple Safari 5 or higher Note: Have Adobe Flash Player 10 or higher installed for business graphics when using Internet Explorer 8 The system runs on a three-tier architecture, while data access is provided via thin client. The system is based on the Prognoz Platform located on the application server. 13 (15)

14 6. Competitive Advantage The Prognoz Payment System Data Analysis has advantages, such as: Deep integration into your existing IT infrastructure Flexible analytical tools that enable dynamic, structural, and territorial analyses of payment data Integration of various payment data sources User-friendly visualization and flexible functional settings One-stop-shop principle to access data Access via internet from any point on the planet 14 (15)

15 7. Proven Results International company Prognoz has been working in the IT market since 1991 and is one of the top companies in developing systems designed to monitor, analyze, and forecast economic, financial, and industrial processes. Prognoz forecasting and analytical systems improve efficiency of industrial enterprises, federal and subnational authorities, banks, and financial entities. Prognoz has offices in Perm, Moscow, some of the regions of Russia, in the United States (Washington), China (Beijing), Belgium (Brussels), Kazakhstan (Astana), and Belarus (Minsk). The company employs over 1,500 professionals. Fundamental scientific approaches combined with cutting-edge information technologies allow Prognoz to develop world-class software products that meet the needs of a wide range of customers. Prognoz has successfully implemented over 1,500 projects around the world. Among Prognoz customers are International Monetary Fund, the World Bank, World Health Organization, Organization for Economic Cooperation and Development, Asian Development Bank, African Development Bank, Coca-Cola, 3M, China Ocean Shipping Company (COSCO), Abu Dhabi Terminals, State Grid Corporation of China, Gazprom, Sberbank, ministries and agencies of various countries, including Presidential Executive Offices of Russia and Kazakhstan, customs services of Russia and Belarus, U.S. Department of Agriculture, and Joint Research Centre under the European Commission. Prognoz is ranking high in IT ratings over several years. The international analytical and consulting company IDC reports that Prognoz is the leading player on the Russian custom software market. Prognoz is the Gold Certified Partner of Microsoft, Gold Business Partner of Oracle, and IBM Partner. The quality management system of Prognoz meets the ISO 9001:2008 standard requirements. The company is a proud owner of SAP AG certificate, confirming that the Prognoz Platform meets the requirements for integration with SAP NetWeaver Business Warehouse. 15 (15)

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