Prognoz Payment System Data · PDF filePrognoz Payment System Data Analysis 3 (15) 1. Goals...

Prognoz Payment System Data Analysis

Description of the solution

© Prognoz, 2015


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Content

1. Goals and Tasks . ……………………………………………………………………………………………………………………………………………3

2. Proposed Architecture ......................................................................................................................................... 4

3. Functionality ........................................................................................................................................................ 5

3.1 Payment system operation analysis ............................................................................................................. 5

3.2 Cash flow monitoring and analysis by transactor ......................................................................................... 6

3.3 Payment profile analysis by transactor ......................................................................................................... 7

3.4 Summary information analysis by transactor................................................................................................ 8

4. Tools .................................................................................................................................................................... 9

4.1 Data visualization......................................................................................................................................... 10

4.2 Data warehouse ........................................................................................................................................... 11

4.3 Administration and information security .................................................................................................... 11

5. Technical Requirements .................................................................................................................................... 12

5.1 Hardware Requirements ............................................................................................................................. 12

5.2 Software Requirements ............................................................................................................................... 13

6. Competitive Advantage ..................................................................................................................................... 14

7. Proven Results ................................................................................................................................................... 15


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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


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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


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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.


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3.2. Cash flow monitoring and analysis by transactor


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.


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3.3. Payment profile analysis by transactor


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


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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


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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


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Set out below is an outline of the aforementioned tools.

4.1. 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


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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.

4.3. 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.


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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 - 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.

Application server - Processor: Intel Xeon Processor 2Core 2.66 GHz - RAM: 8 GB - Disk array space: 50 GB

Web server - 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


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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 - 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)

Application server - Operating system: Windows Server 2003/2008/2008 R2

(x64)

Web server - 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

User workstation - 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.


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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


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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.

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