ILO Department of Statistics Edgardo Greising

Slides:



Advertisements
Similar presentations
Usage statistics in context - panel discussion on understanding usage, measuring success Peter Shepherd Project Director COUNTER AAP/PSP 9 February 2005.
Advertisements

April, 2004 Lars Thygesen International Trade Expert meeting Whats going on at OECD: statistical information management.
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Data Archiving.
COMBASE: strategic content management system Soft Format, 2006.
Strategies for web based data dissemination A strategy is a plan of action designed to achieve a vision - from Greek "στρατηγία" (strategia). Zoltan Nagy.
Tutorial 12: Enhancing Excel with Visual Basic for Applications
Stefania Bergamasco, Cecilia Colasanti An integrated approach to turn statistics into knowledge combining data warehouse, controlled vocabularies and advanced.
This presentation is intended as a detailed WebEx, to bring potential customers to an understanding of Dream Report capabilities. This presentation focuses.
IS 4420 Database Fundamentals Leon Chen. 2 Agenda About yourself About yourself  Name  Major About the instructor About the instructor Syllabus Syllabus.
Steven Vale, Marlen Jigitekov - UNECE Statistical Division Slide 1 United Nations Economic Commission for Europe Statistical Division UNECE Report Marlen.
Developing a System for Web Based Data Dissemination CSO Experience Strategies for Web based Data Dissemination Ghusoon M. Hameed IRAQ.
Serving up Statistics to an International Community IASSIST Conference Brian Buffett May 2003.
“DOK 322 DBMS” Y.T. Database Design Hacettepe University Department of Information Management DOK 322: Database Management Systems.
System Analysis and Design
Module 12: Backup and Recovery. Overview Backup and recovery methods available in Oracle and SQL Server 2008 Types of failure Types of recovery Formulating.
Using a Content Management System Website for the Dissemination of Official Statistics By Edwin St Catherine, Director of Statistics, SAINT LUCIA UN Regional.
World Bank, Africa Region, Africa Household Survey Databank - The World Bank - Africa.
Classroom User Training June 29, 2005 Presented by:
Databases C HAPTER Chapter 10: Databases2 Databases and Structured Fields  A database is a collection of information –Typically stored as computer.
MAEDA Lunchtime Roundtable Panel Discussion Making the Most of the Internet: Examples and Lessons Learned Facilitated by: NTech Collaborative Roundtable.
Case Studies: Statistics Canada (WP 11) Alice Born Statistics UNECE Workshop on Statistical Metadata.
Federal Statistical Office eSTATISTIK.core - Integrating Respondents’ IT Systems into Data Collection UNECE Work Session on Statistical Data Editing Bonn,
Standard data entry & validation system in HCSO (ADEL) Erzsébet Kómár 3. May IT Department.
Using XML technologies to implement complex tables in short- term statistics Francesco Rizzo
1 Implementation of the SDMX Standard by the Federal State Statistics Service of the Russian Federation Alexander Surinov Head of the Federal State Statistics.
I Copyright © 2004, Oracle. All rights reserved. Introduction Copyright © 2004, Oracle. All rights reserved.
ETMS Documentation Roger Milego Stockholm, Project meeting 8-9 October 2013.
C onference on Data Quality for International Organisations (Rome, Italy, 7-8 July 2008) Session 1: Assessment of data quality The example of the Wages.
Timely statistical information for monetary policy purposes
Francesco Rizzo (ISTAT - Italy) Stefano De Francisci (ISTAT – Italy) An integration approach for the Statistical Information System of Istat using SDMX.
ILO Department of Statistics Edgardo Greising
GP 2014 Client Event Welcome. Agenda Check In and Breakfast Welcome Comments Microsoft Dynamics GP R2 Overview Break Management Reporter Tips and Tricks.
240-Current Research Easily Extensible Systems, Octave, Input Formats, SOA.
Applying GSBPM in the National Enterprise-Wide Statistical Systems (NEWSS) DEPARTMENT OF STATISTICS MALAYSIA 17 September 2014 Modernization Working Group.
Integrated Monitoring Dashboard SEAP/BTIS/DB&I/Mar Integrated Monitoring Dashboard An Innovative Monitoring Approach Proposal by BTIS/DB&I.
Database Concepts Track 3: Managing Information using Database.
DATAWHERE - MIAB1 DATAWHERE The MIAB Solution to Information Support and Data Conversion/Migration 통신망 연구실 석사 3 학기 임 수 정.
© Federal Statistical Office, Institute for Research and Development in Federal Statistics, Elmar Wein Federal Statistical Office Concepts, materials and.
ILO Department of Statistics Edgardo Greising
Developing and applying business process models in practice Statistics Norway Jenny Linnerud and Anne Gro Hustoft.
1 Integration of the Eurostat and ESS Metadata Systems A. Götzfried Head of Unit B6 Eurostat.
SDMX IT Tools SDMX Reference Infrastructure
Edgardo Greising MSIS 2013 – International Organizations Session.
Metadata Driven Statistical Data Warehouse System at the Hungarian Central Statistical Office Imre Pap Senior IT Advisor Hungarian Central Statistical.
Eurostat 1.SDMX: Background and purpose 1 Edward Cook Eurostat Unit B5: “Central data and metadata services” SDMX Basics course, October 2015.
Copyright (c) 2014 Pearson Education, Inc. Introduction to DBMS.
WEB-SUPPORTED STATISTICAL DISSEMINATION PROCESS SERVING STATISTICAL DATA USERS Matjaž Jug, M.Sc.
The business process models and quality issues at the Hungarian Central Statistical Office (HCSO) Mr. Csaba Ábry, HCSO, Methodological Department Geneva,
Data Management: Data Processing Types of Data Processing at USGS There are several ways to classify Data Processing activities at USGS, and here are some.
UNIVERSITY MANAGEMENT SYSTEM
De Rigueur - Adding Process to Your Business Analytics Environment Diane Hatcher, SAS Institute Inc, Cary, NC Falko Schulz, SAS Institute Australia., Brisbane,
Quality declarations Study visit from Ukraine 19. March 2015
Introduction to DBMS Purpose of Database Systems View of Data
System Overview Training on the use of the new countrystat
Ku-DM - Overview Enables your business to respond to changing conditions Enhances productivity and allows for information exchange between the dealers.
System Overview Training on the use of the new countrystat
Country use cases: Cambodia, and Tunisia
System Overview Training on the use of the new countrystat
SDMX: A brief introduction
YTY − an integrated production system for business statistics
Tomaž Špeh, Rudi Seljak Statistical Office of the Republic of Slovenia
Providing Access to Statistics Through the Internet
Course: Module: Lesson # & Name Instructional Material 1 of 32 Lesson Delivery Mode: Lesson Duration: Document Name: 1. Professional Diploma in ERP Systems.
Introduction to DBMS Purpose of Database Systems View of Data
CEF e-Invoicing Readiness Checker
SDMX Tools Overview and architecture
GSBPM AND ISO AS QUALITY MANAGEMENT SYSTEM TOOLS: AZERBAIJAN EXPERIENCE Yusif Yusifov, Deputy Chairman of the State Statistical Committee of the Republic.
Metadata on quality of statistical information
1. SDMX: Background and purpose
SDMX at the International Labour Organization
Presentation transcript:

ILO Department of Statistics Edgardo Greising

 Why? ◦ High maintenance costs ◦ Low coverage ◦ Problems of comparability between data  What? ◦ Applications ◦ Procedures  Objectives ◦ Better response rate ◦ Reduced delay in disseminating ◦ More indicators covering the DW agenda ◦ Improve overall data quality

 The old system ◦ Process overview ◦ IT considerations  The new approach ◦ Process overview ◦ IT considerations  Conclusions

 Manual consistency  No procedure to re-contact non- responding countries  Thousands of footnotes, dozens of them meaning exactly the same  “Source & Methods” metadata collected as text documents  Veracity relayed on huge workload  Declining response rate  Delayed publication release  High direct costs  Overburden to countries

 Data stored in a hierarchical database  Time consuming «per sheet» upload procedure  Unfriendly consistency checking program turned useless  Data with errors not marked, could be published  No solution for “false positives”  Command line editor  Disconnected dissemination tools  Manual workflow management  High maintenance costs

 Country-centric approach  Broader interaction with countries ◦ Off-line x-Questionnaire (Excel) ◦ e-Questionnaire ◦ EDI (SDMX)  Controlled vocabulary footnotes system  Error-free data passed to the dissemination database  New ILOSTAT website integrated to Department of Statistics’ and ILO’s IKMG

 Modular design following GSBPM  Oracle RDBMS and development tools  Automated procedure for xQ and SDMX uploading with structural consistency  E-Questionnaire online data collection  Single set of metadata  Single interactive consistency procedure regardless of data collection means  «False positives» handling thru allowance issuing  Full screen data editor  Dynamic content dissemination website  Data workflow management module

8 (country + user) Qtable (country + indic + survey)

LABORSTA data Content & Documents Current website services delivery Independent user interfaces Colaboration WCMS 10g SAS Plone LABORSTA backoffice

Oracle WebCenter Portal Content & Documents (Dynamic) ILOSTAT data Backoffice Applications WCMS 11g WCMS 10g Oracle DBMS OBI EE WebCenter Spaces APEX SAS Oracle DBMS Colaboration & Social Network New website services delivery Unified user interface

 Increased coverage  Improved opportunity  Improved quality  Reduced overburden  Standards based  General purpose  Reduced TCO

Skype: egreising Twitter: egreising LinkedIn: greising greising

Skype: egreising Twitter: egreising LinkedIn: greising greising