streamlining data compilation and dissemination

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STREAMLINING DATA COMPILATION AND DISSEMINATION ILO Department of Statistics Edgardo Greising [email protected]

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STREAMLINING DATA COMPILATION AND DISSEMINATION . ILO Department of Statistics. Edgardo Greising [email protected]. Introduction. Why ? High maintenance costs Low coverage Problems of comparability between data What? Applications Procedures Objectives Better response rate - PowerPoint PPT Presentation

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Page 1: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

STREAMLINING DATA COMPILATION AND

DISSEMINATION ILO Department of Statistics

Edgardo [email protected]

Page 2: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

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

Introduction

Page 3: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

The old system◦Process overview◦IT considerations

The new approach◦Process overview◦IT considerations

Conclusions

Agenda

Page 4: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

The old systemProcess Overview

Paper or faxquestionnaire

SAS Database

SAS Database(Replica)

YEARBOOK Publication

Automatic Upload(per sheet basis)

Format & totals check

Manual Inputby Stat. Assistant

Full DB Consistency check

Automatic printout generation

OPTIONAL Editingby Stat. Assistant

Weeklyupdate

LABORSTA Website

YEARBOOK CD

No Answer

Manual data grabbingby Stat. Assistant

Internet

Excel questionnaires(9 books per country)

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

Page 5: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

The old systemIT considerations

Paper or faxquestionnaire

SAS Database

SAS Database(Replica)

YEARBOOK Publication

Automatic Upload(per sheet basis)

Format & totals check

Manual Inputby Stat. Assistant

Full DB Consistency check

Automatic printout generation

OPTIONAL Editingby Stat. Assistant

Weeklyupdate

LABORSTA Website

YEARBOOK CD

No Answer

Manual data grabbingby Stat. Assistant

Internet

Excel questionnaires(9 books per country)

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

Page 6: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

The new approachProcess Overview

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

Paper or fax

questionnaire

Data CollectionDatabase

Web Database(Replica)

YEARBOOK Publication

Full AutomaticUpload

Manual Inputby Stat. Assistant

Consistency check

Automatic printout generation

Editingby Stat. Assistant

Weeklyupdate

LABORSTA Website(with dynamic charts and maps)

NO

YEARBOOK CD

Excel questionnaires(1 simplified book)

SDMX fileE-Questionnaires

(on line via internet)

Full AutomaticUpload

Stat. AssistantE-mail or phone call

Country counterparts

Selected data collection mode

CORRECT?

Main Database

YES

No Answer Received

Error Report

Data Flow Control Dashboard

1 2 3 4 5

Page 7: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

The new approachIT considerations

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

Page 8: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

8

Data WorkflowE-mail

(country + user)Qtable

(country + indic + survey)

Page 9: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

LABORSTA data

Content &Documents

Current website services deliveryIndependent user interfaces

Colaboration

WCMS 10g

SAS

Plone

LABORSTA backoffice

Page 10: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

Oracle WebCenter Portal

Content &Documents(Dynamic)

ILOSTAT data BackofficeApplications

WCMS 11gWCMS 10g

Oracle DBMS

OBI EE

WebCenter Spaces

APEX SAS

Oracle DBMS

Colaboration &Social Network

New website services deliveryUnified user interface

Page 11: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

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

Page 12: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

Questions?E-mail:[email protected]

Skype:egreising

Twitter: egreising

LinkedIn: http://www.linkedin.com/in/egreising

Page 13: STREAMLINING  DATA  COMPILATION AND DISSEMINATION

Thank you!E-mail:[email protected]

Skype:egreising

Twitter: egreising

LinkedIn: http://www.linkedin.com/in/egreising