Johan Erikson Statistics Sweden Luxemburg, March 2012

Slides:



Advertisements
Similar presentations
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Data Archiving.
Advertisements

Multi-Mode Survey Management An Approach to Addressing its Challenges
United Nations Economic Commission for Europe Statistical Division Applying the GSBPM to Business Register Management Steven Vale UNECE
ICES III - Johan Erikson1 Effects of offering web questionnaires as an option in enterprise surveys – The Swedish experience Johan Erikson Statistics Sweden.
Development of metadata in the National Statistical Institute of Spain Work Session on Statistical Metadata Genève, 6-8 May-2013 Ana Isabel Sánchez-Luengo.
System Specification Specify system goals Develop scenarios Define functionalities Describe interface between the agent system and the environment.
The Adoption of METIS GSBPM in Statistics Denmark.
Support for design of statistical surveys at Statistics Sweden
On Tap: Developments in Statistical Data Editing at Statistics New Zealand Paper by Allyson Seyb, Felibel Zabala and Les Cochran Presented by Felibel Zabala.
Eurostat Data collection. Presented by Johan Erikson Statistics Sweden.
Current and Future Applications of the Generic Statistical Business Process Model at Statistics Canada Laurie Reedman and Claude Julien May 5, 2010.
Lisbone, March ALBANIAN METADATA AlbMeta Prepared by INSTAT Working Group.
Toward Generic Systems Shifra Haar - Central Bureau of Statistics-Israel.
United Nations Economic Commission for Europe Statistical Division Mapping Data Production Processes to the GSBPM Steven Vale UNECE
Electronic data collection System in CSB of Latvia By Karlis Zeila, Vice President, CSB of Latvia IT DG meeting, October , Eurostat.
Conference name Company name INFSOM-RI Speaker name The ETICS Job management architecture EGEE ‘08 Istanbul, September 25 th 2008 Valerio Venturi.
The future of Statistical Production CSPA. 50 task team members 7 task teams CSPA 2015 project.
Towards efficient data collection at Statistics Sweden Johan Erikson Data collection, process owner
Open GSBPM compliant data processing system in Statistics Estonia (VAIS) 2011 MSIS Conference Maia Ennok Head of Data Warehouse Service Data Processing.
1 1 International Collaboration on Industrialization of Editing: Business Case (Part 1, WP38) Li-Chun Zhang Statistics Norway.
RECENT DEVELOPMENT OF SORS METADATA REPOSITORIES FOR FASTER AND MORE TRANSPARENT PRODUCTION PROCESS Work Session on Statistical Metadata 9-11 February.
METIS 2011 Workshop Session III – National Implementation of the GSBPM Alice Born and Tim Dunstan Thursday October 6, 2011 Implementation of the GSBPM.
TRITON - An event driven SOA architecture MSIS Jakob Engdahl, Statistic Sweden
Statistical process model Workshop in Ukraine October 2015 Karin Blix Quality coordinator
Statistics Estonia's new system for statistical data activity processing (VAIS) ITDG Luxembourg 2010 Allan Randlepp.
Introduction to Statistics Estonia Study visit of the State Statistical Service of Ukraine on Dissemination of Statistical Information and related themes.
11 Copyright © 2009, Oracle. All rights reserved. Enhancing ETL Performance.
United Nations Economic Commission for Europe Statistical Division CSPA: The Future of Statistical Production Steven Vale UNECE
Modern Systems Analysis and Design Third Edition
MANAGEMENT OF STATISTICAL PRODUCTION PROCESS METADATA IN ISIS
Towards connecting geospatial information and statistical standards in statistical production: two cases from Statistics Finland Workshop on Integrating.
Contents Introducing the GSBPM Links to other standards
MSIS 2011 – Statistics Sweden
Tools and Techniques to Clean Up your Database
Tools and Techniques to Clean Up your Database
Chapter 9: Research Issues in Software Engineering
Navigating the application of Modernisation Frameworks when using Commercial Of The Shelf products. This presentation will provide a walkthrough of.
The status of metadata standards and ModernStats models in SURS
S-DWH layered architecture – Statiscs Finland
Welcome: How to use this presentation
Why many Automation Frameworks? when ONE can do ALL
PROGREX – Presentation
Introduction to Systems Analysis and Design
Modern Systems Analysis and Design Third Edition
Electronic Data Collection at Statistics Canada
SISAI 2011 – Statistics Sweden
Tomaž Špeh, Rudi Seljak Statistical Office of the Republic of Slovenia
ESSnet on Data Warehousing 4th Workshop Maia Ennok 20th. of March 2013
Validation at Statistics Sweden
Learning Objectives Understand the purpose of Workflow System
Modern Systems Analysis and Design Third Edition
Data validation in Statistical Office of the Republic of Serbia
Jeroen Pannekoek, Sander Scholtus and Mark van der Loo
CSPA: The Future of Statistical Production
Introducing the GSBPM Steven Vale UNECE
E-Collaboration Supply Chain Interlock (ESI) The Collaboration Tool of your choice. SPEX presentation March, 2007.
3.4 Modernisation of Social Statistics
Contents Introducing the GSBPM Links to other standards
Mapping Data Production Processes to the GSBPM
Task Force Household Budget Survey Innovative tools and sources
TriFoil System Overview From Global Directions, Inc.
Presentation to SISAI Luxembourg, 12 June 2012
SOA initiatives at Istat
SOA in Statistics Sweden
Task Force Household Budget Survey Innovative tools and sources
Metadata on quality of statistical information
Mixed mode in Swedish SBS – importing SIE files
METIS 2011 Workshop Session III – National Implementation of the GSBPM
Work Session on Statistical Metadata (Geneva, Switzerland May 2013)
Presentation transcript:

Johan Erikson Statistics Sweden Luxemburg, March 2012

Agenda Background GSBPM, process support system (PSS) What is Triton? Some screenshots of interfaces – in Swedish The future Triton Seminarium 1

Background Move towards process oriented production Process support system (PSS) – from information to steering the production Triton – first move in this direction – for data collection and micro editing Collection/editing background: Existing common tools – bad bridges Manual work – shuffling and transforming data Survey specific production systems – dependency on single persons VB6 – old technique in old systems Triton Seminarium 1

What do we want? Common environment, not survey specific Reduce (eliminate) manual data shuffling Mixed mode (web & paper) normal One system, able to configure for surveys New surveys – new configuration, not new system Updated technique - .NET Built in separate modules that are separated, possible to replace Integrate existing tools, add additional necessary tools Must feel like one interface Triton Seminarium 1

The goals for the Triton platform Lower costs for maintenance and support of IT systems Less dependency on single persons More effective production Better working environment for collection/editing staff Less manual work Easy to configure new surveys Better possibilities to improve the process Facilitate working in many surveys Take a step towards process oriented production

GSBPM and Statistics Sweden Have adopted a process oriented approach Based on Generic Statistical Business Process Model

GSBPM and Statistics Sweden Information available to support production process Information provided by process owners Process owners

A lot of information Process descriptions Which parts are relevant for us? Process descriptions Multiple levels Checklists to support quality assurance Survey 1

The goals for the process support system (PSS) Provide a survey oriented view of Process descriptions Checklists for quality assurance Process oriented tools Show state of process execution Support collaboration between groups and roles Triton is the first step towards implementing this in practice New part of PSS created to support this – process areas

Survey oriented view Survey A Survey B Process dashboard Process descriptions Survey design Survey oriented view Survey oriented view Process dashboard Process checklists Application Service

Triton – A new platform Supports GSBPM-processes Collect and Process including their design and build processes

Input Data Environment Setting parameters, reports, activities (planning and follow- up), templates, et cetera. PSS ”Log” Configuration Repository IL (data storage) Appl. Appl. SCANDELIVERY SCANNING Appl. Input Data Environment (BizTalk) Appl. SIV (web) Survey databases Appl. DUPLICATE Appl. SIGNAL E-mail sending EDIT PRINTING Traditional editing (rules engine) Selective editing SELEKT Appl. EDIT Handling and editing of individual reporting units

Triton step by step (1) Define survey, survey rounds, collection rounds Set parameters Sub-systems are loaded and prepared Collection activities are defined Define variables Build collection instrument (web, paper, scanning) Uses defined variables Define edit checks (done within web collection builder) Define value sets Re-use of value sets used in building instrument

Triton step by step (2) Load sample, background info Configure EDIT settings Send out survey – run collection Send data (respondent) Handle duplicates Edit data Transfer data to survey

PSS process areas - structure Survey Survey round Collection round Process / Analyse Disseminate TRITON

Process area, collection round Activities (quality assurance support, support for planning) Based on design choices Possible to add survey specific activities Staff, authorities FAQ Variables Sample load time Paradata reports Access to tools (EDIT to start with)

Part of form for collection round

Process area – Collection round

Collection activities

Variables

Web collection builder

EDIT (1) - overview

EDIT (2) – editing view

The future – what happens next? Implementation Maintenance, production support Further development of Triton platform Expansion of the thoughts – support further processes in a similar way through PSS

Thank you for your attention! Any questions?