"e-statistics" Integrated Information System



Similar documents
II. Business case for Population and Housing Census 2011

Production of Official Statistics by Using Big Data

National Enterprise-Wide Statistical System The Paradigm Swift to Department of Statistics Malaysia

HLG Initiatives and SDMX role in them

AN INTEGRATION APPROACH FOR THE STATISTICAL INFORMATION SYSTEM OF ISTAT USING SDMX STANDARDS

REPUBLIC OF MACEDONIA STATE STATISTICAL OFFICE. Metadata Strategy

Riding the big data wave to streamline acquiring and managing data

KARAT: The new integrated data transmission system of the HCSO

TERMS OF REFERENCE TO DEVELOP THE MANAGEMENT INFORMATION SYSTEM AND PROVIDE TECHNICAL SUPPORT FOR THE CONDITIONAL CASH TRANSFER PROGRAM IN BANGLADESH

Data quality and metadata

Improvement of data collection and dissemination by fuzzy logic

ESS EA TF Item 2 Enterprise Architecture for the ESS

Issues related to major redesigns in National Statistical Offices

Big Data uses cases and implementation pilots at the OECD

EcOS (Economic Outlook Suite)

National Accounts and Economic Statistics - International Trade Statistics

Methodology Framework for Analysis and Design of Business Intelligence Systems

DATA COLLECTION IN THE STATISTICAL OFFICE OF THE REPUBLIC OF SLOVENIA (SURS)

Economic Data Management at the IMF

How To Use Big Data For Official Statistics

Realization of Data Warehouse in Bank Handlowy in Warsaw - business profits

Statistical data editing near the source using cloud computing concepts

Uniform Chart of Accounts Frequently Asked Questions Account Structure

GSBPM. Generic Statistical Business Process Model. (Version 5.0, December 2013)

MOVING TO COMMON SURVEY TOOLS AND PROCESSES THE ABS EXPERIENCE

OneContent 17.0 Manage Content Across The Enterprise

THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSE

IMLEMENTATION OF TOTAL QUALITY MANAGEMENT MODEL IN CROATIAN BUREAU OF STATISTICS

Design and Implementation of a Quality Management System for Electronic Training Information Resources

SDMX technical standards Data validation and other major enhancements

Big Data (and official statistics) *

Reaping the rewards of your serviceoriented architecture infrastructure

Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities

META DATA QUALITY CONTROL ARCHITECTURE IN DATA WAREHOUSING

FROM DATA STORE TO DATA SERVICES - DEVELOPING SCALABLE DATA ARCHITECTURE AT SURS. Summary

Structure of the presentation

The ECB Statistical Data Warehouse: improving data accessibility for all users

Contents. Introduction... 1

COMPANY... 3 SYSTEM...

Information Management: A common approach

Nagarjuna College Of

Business Intelligence Solutions. Cognos BI 8. by Adis Terzić

Intelligent Systems, Databases and Business Intelligence

Course Syllabus For Operations Management. Management Information Systems

Customer Relationship Management Submitted in partial fulfillment of the requirement for the award of degree Of MBA

Unlocking the Full Potential of Your Item Master. Strategic Data Management is the Key

SYSTEMS OF QUALITY MANAGEMENT IN THE BUILDING TRADE: ON THE RUSSIAN PRACTICE

Integrated Data Collection System on business surveys in Statistics Portugal

Search Engine Optimization with Jahia

ECONOMIC AND SOCIAL COMMISSION FOR ASIA AND THE PACIFIC UNITED NATIONS BUILDING, RAJADAMNERN NOK AVENUE, BANGKOK 10200, THAILAND

BPMonline CRM User Guide

Joint UNECE/Eurostat/OECD Seminar on the Management of Statistical Information Systems (MSIS) Sofia, Bulgaria, June 2006

Service Catalog Management: A CA Service Management Process Map

The only 100% open source, complete and flexible Business Intelligence suite

ICAB4136B Use structured query language to create database structures and manipulate data

CROATIAN BUREAU OF STATISTICS REPUBLIC OF CROATIA MAIN (STATISTICAL) BUSINESS PROCESSES INSTRUCTIONS FOR FILLING OUT THE TEMPLATE

ATA DRIVEN GLOBAL VISION CLOUD PLATFORM STRATEG N POWERFUL RELEVANT PERFORMANCE SOLUTION CLO IRTUAL BIG DATA SOLUTION ROI FLEXIBLE DATA DRIVEN V

REPORT ON ACTIVITIES IMPLEMENTED IN THE PROJECT TO ESTABLISH PSC

Geospatial Information in the Statistical Business Cycle 1

Plan of presentation. Open-source software (OSS) in Russia. 1. Basics of open-source and Russia s experience of using. 2.

WEB APPLICATION FOR COMPARISON OF LEARNING OF STUDENTS FROM DIFFERENT UNIVERSITIES

Economic and Social Council

Overview. The Knowledge Refinery Provides Multiple Benefits:

IBM's Fraud and Abuse, Analytics and Management Solution

Knowledge Base Data Warehouse Methodology

Traineeships in DG-Statistics

Enterprise Data Warehouse (EDW) UC Berkeley Peter Cava Manager Data Warehouse Services October 5, 2006

Predictive Analytics

GOOGLE TOOLS IMPLEMENTATION INTO THE PROMOTION OF WEB SOLUTIONS

Design and Implementation of High Voltage Customer Service Portal

Unlocking the True Potential of Usage Data. Amdocs White Paper November 2014

Load Building and Route Scheduling

Why MCL-Bridge for SAP

DAMAS. Flexible Platform for Energy and Utilities

Overview of the IMF s Data Standards Initiatives

Sales Management Solution

Improving the quality and flexibility of data collection from financial institutions

Business Process Management & Workflow Solutions

Professional Position Description

The Masters of Science in Information Systems & Technology

inforouter Version 8.0 Administrator s Backup, Restore & Disaster Recovery Guide

Athabasca University Professional Position Description Section I Position Information Update Only Classification Review

RATIONALISING DATA COLLECTION: AUTOMATED DATA COLLECTION FROM ENTERPRISES

Why do businesses order SEO services? Businesses want to earn more money. Businesses are not against paying some money to get more money.

Asia and Pacific Commission on Agricultural Statistics

CountryData Using SDMX to exchange MDG data between national statistical offices and international agencies

How To Build A Business Intelligence System In Stock Exchange

Business Intelligence Not a simple software development project

We decided that we would build IFS Applications on standards so our customers would not be locked into any particular technology. We still do.

THE STATISTICAL DATA WAREHOUSE: A CENTRAL DATA HUB, INTEGRATING NEW DATA SOURCES AND STATISTICAL OUTPUT

Jean-Yves Garnier Independent Consultant

Scala Worldwide. Scala in Poland. Scala Business Solutions Poland

Pedagogical Diagnostics with Use of Computer Technologies

Increasing the Productivity and Efficiency of Business Transactions with Microsoft Business Solutions Navision Intercompany Postings

Statistical Data Quality in the UNECE

Innovative Analysis of a CRM Database using Online Analytical Processing (OLAP) Technique in Value Chain Management Approach

E-commerce and information and communication technology (ICT) activity, 2008

MARKETS & ISSUES DATA MANAGEMENT IN BANKING DATA MANAGEMENT IN BANKING UNISERV DATA MANAGEMENT

TigernixERP, one of the most used software for inventory management and purchase order system

December 15, Page 1 of 4

Transcription:

Distr. GENERAL Working Paper 12 April 2013 ENGLISH ONLY UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE (ECE) CONFERENCE OF EUROPEAN STATISTICIANS ORGANISATION FOR ECONOMIC COOPERATION AND DEVELOPMENT (OECD) STATISTICS DIRECTORATE EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN UNION (EUROSTAT) UNITED NATIONS ECONOMIC AND SOCIAL COMMISSION FOR ASIA AND THE PACIFIC (ESCAP) Meeting on the Management of Statistical Information Systems (MSIS 2013) (Paris, France, and Bangkok, Thailand, 23-25 April 2013) Topic (ii): Streamlining statistical production "e-statistics" Integrated Information System Prepared by Ms. Zhaidara Syzdykova, Agency of Republic of Kazakhstan on Statistics, Kazakhstan In the conditions of modern development of infocommunication technologies there was a need to develop this infrastructure in Agency of Republic of Kazakhstan on Statistics. Till 2010 not all statistical processes of Agency were automated. And that were automated, were based on the outdated technologies which aren't conforming to modern requirements in the field of information technologies. The statistical reporting was given by respondents in bodies of statistics in paper form. It constantly brings to turns and production expenses. And each report on a certain statistical supervision was entered manually by statisticians in regions into separate local and program complexes (LPC). The local and program complex is a local system of data processing which was developed on various platforms for each supervision separately, and their about 180. LPC accumulated data on each supervision in a separate DB. These local DB weren't integrated among themselves therefore automatically to compare data it wasn't represented possible. And it in turn doesn't give the chance to improve statistics and its quality.

2 The main lack of LPC is what even minor changes in methodology, attracts laborintensive process of modification of some LPC. For example, addition of a new type of production in the qualifier. Time, manpower was spent for it. Besides, the existing system was automated partially, and it does system non-transparent. Users received created statistical information on papers, in the form of collections and bulletins which were duplicated in limited quantity, there was no uniform place of storage. It is possible to tell that at the population and business access to statistics was limited. In 2010 Agency began implementation of the project of the Integrated information E-statistics system. The project assumes the latest approach to full automation of internal processes, integration of all IS, and also increase of efficiency of activity of Agency. All information systems within IIS "E-statistics" are developed with application of modern technologies, on one technological platform that provides the corresponding interaction of components. Result of implementation of the project will be: 1.decrease in load of respondents by introduction of the electronic statistical reporting; 2.granting to users of clear and available information. One more advantage of system is flexibility to any changes of methodological character. Essential difference of that was earlier is the process focused approach. That is the system is directed on automation of separate processes as collecting, storage, processing, distribution of data, distributing functions between separate components. It is connected with need of increase of efficiency of activity of Agency, decrease in financial, labor expenses and simultaneous improvement of quality of statistical information. Within the project Metadata information system which is control center of statistical processes is created. It is the main tool providing coherence of all systems, unification and the description of indicators, algorithms of processing. The purpose of formation of IS "Metadata" is ensuring satisfaction of requirements of various groups of users of statistical information, by means of development of system of statistical metadata, ensuring technological support of

3 processes of updating, expansion, adaptation, internal and external integration of all components IIS "E-statistics" from common "point". The main objectives of IS "Metadata" are: 1) to centralize collecting, common storage of statistical metadata in common data warehouse; 2) to increase quality of statistical data, transparency of methodology; 3) to increase quality of data processing, using storage and production of statistical metadata; 4) quickly to react and quickly to adapt internal information systems at changes in methodology; 5) to automate the publication on a portal of results of statistical supervision, statistics; 6) to provide access to a wide range of users to statistical metadata; 7) to support data exchange and metadata with consumers of statistical information, with internal and external information systems and the international statistical organizations according to the international standards of an exchange of statistical data and metadata; 8) to avoid divergences and excess duplication of metadata, at the expense of maintaining/updating of metadata in a uniform source. As object of IS "Metadata" the statistical indicators. For the first time IS "Metadata" will allow to centralize meta description of statistics, methodologies of collecting, processing and distribution of statistical information on all formed statistics. That in turn will make statistical methodology transparent and available to the interested users. Important feature of national system of metadata is that it is integrated into uniform information E-statistics system. The centralized maintaining and use of system of metadata will allow to simplify process of integration of information systems and information exchange both between government bodies within the country, and at the international level. For an exchange of metadata the Agency plans to introduce the SDMX standard which defines formats for an exchange of the aggregated statistical data and the metadata necessary for understanding of how these data are structured. For

4 this purpose we planned many actions for studying and introduction of this standard in the future. IS "Metadata" consists of several blocks, as "The description of forms", "Data collection", "Registers", "Qualifiers", "Data processing", "Distribution", "Technical metadata". Each of these blocks contains the necessary description of indicators, algorithms of processing and distribution. The special role in creation of system of metadata is played by a "human" factor. Introduction of IS "Metadata" demanded considerable shift upon transition from traditional data processing to new business processes. A lot of work on creation of standard and help metadata, work on the description of former statements of tasks under new requirements of system of metadata is carried out by Branch statisticians. At the expense of automation and the coordinated functioning of all components of system through metadata efficiency increases, processing terms are reduced. One more advantage of new information infrastructure is granting opportunity to respondents to hand over reports in an online mode directly on the Agency site, by means of information system "Data Collection in an Online Mode". Data on the respondent are filled in automatically by the system. The respondent fills fields, at data input by system format and logical control and system is carried out points to it to mistakes. It provides completeness and purity of data. The report is confirmed by digital signature of the respondent and is accepted by system. The accountant of the enterprise was given opportunity of delivery of the reporting without leaving an office. It reduces financial, labor, transport and temporary expenses for business. Then data are processed in uniform system of Processing. In this system standard procedures of calculations are applied, adjustments, an imputation of data according to the description in IS "Metadata" are automatically carried out. Then all output information arrives in DB of the aggregated indicators which are displayed in IAS "Taldau". All users without restrictions have a free access to official statistical information on the Internet. "Taldau" is an information and analytical system which gives to users absolutely new opportunities for the analysis of statistical information. This system has a set of different functions. For example, search of statistical information in a keyword, classification, the catalog of indicators, visualizes data in the form of cards, charts. For

5 example, if to choose the region, the system shows on it all information by that region available in a DB. In system automatic creation of tables, schedules, charts on the chosen indicators is provided. By means of the tool as the master of charts, it is possible to change necessary parameters. The material adjusted thus can be kept in the Private office where automatic updating is conducted. Also various opportunities according to the analysis of data, for example, on correlation and the mathematical analysis are given. As a result, users reduce time for searches of statistical information and operate with actual official data. Thus, possibilities of the versatile analysis of data are expanded. For an operational interdepartmental exchange of administrative data in IIS "Estatistics" mechanisms of integration with IS of other state agencies are realized. Obtaining data provides updating of register systems of Agency which comprise the list of statistical units and form statistical information. For the government bodies needing actual statistical information, by Agency it is provided such information from a DB of the aggregated indicators by IS integration. Now in Agency the standard GSBPM, GSIM however architecture of IIS "Estatistics" aren't applied is approached to these standards. Therefore within cooperation with the World bank the staff of Agency starts studying experience of introduction of these standards, for their introduction further in Agency. The taken direction of Agency in application of information technologies is positively estimated by the Country leaders and the further purposes of development and IIS "E-statistics" application already at interdepartmental level are designated. With agency and further it is planned to work over improvement of the activity by a way of its automation.