development of electronic data reporting (edr) in statistics finland

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Development of Electronic Data Reporting (EDR) in Statistics Finland

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Development of Electronic Data Reporting (EDR) in Statistics Finland. Design goals. Framework for similar systems Multi-language support User authentication / authorisation Data security (collection and production databases) - PowerPoint PPT Presentation

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Page 1: Development of Electronic Data  Reporting (EDR) in Statistics Finland

Development of Electronic Data Reporting (EDR) in Statistics Finland

Page 2: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 2Rami Peltola

Design goals

Framework for similar systems Multi-language support User authentication / authorisation Data security (collection and production databases) Simple method for transferring data between collection and

production databases “Mass emailer” for all kinds of collection systems

Page 3: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 3Rami Peltola

Three generations

Building cost index 2001sub-annual surveybuilt using Microsoft Windows DNA (Distributed iNternet

Application Architecture) 6 EDR solutions 2002-2004

both sub-annual and annual surveysVB.NET

4 EDR solutions 2005sub-annual surveysXCola

Page 4: Development of Electronic Data  Reporting (EDR) in Statistics Finland

Data Provider relations and response rates: Business surveys

Page 5: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 5Rami Peltola

Background

Traditionally high response rates in annual and sub-annual business surveys

up to over 99%persistent staff

Good relations with data providersexperienced staffmany continuous personal contactsusually long-lasting relationshipshigh level of trust

Page 6: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 6Rami Peltola

Infrastructure and atmosphere for EDR in Finland

High level of using the Internetalmost every enterprise has access to internetbusiness surveys are typically made for the largest

enterprises Positive atmosphere for using internet for transactions with

the governmentrespondents are even enthusiastic about using Internet“It’s fun to fill in web forms instead of paper ones!”

Page 7: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 7Rami Peltola

Key issues when implementing EDR -solution

Simplifying data collection process Reducing need for human resources Reducing other data collection costs Improving the quality of collected data Decreasing non-response Speeding up the data accumulation Reducing response burden Enabling direct individual feedback for respondents Enabling browsing of previously submitted data Assuring high level data security

Timeliness

Cost-efficiency

Accuracy

Data providerrelations

Page 8: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 8Rami Peltola

Reducing response burden

Using e-mail for informing the survey and sending the reminderslink to the EDR -solution

Questionnaire is “always” available Good designing of the questionnaire

not just a copy of the paper form Helpful validity checks

reduce the need of additional inquiries Contextual on-line help Option to fill in the questionnaire in separate sessions Support for several languages

Page 9: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 9Rami Peltola

Enabling direct individual feedback for respondents (1)

Motivates respondent to use EDR -solution instead a paper form

For example enterprise’s own data compared with the data of it’s own industry

Respondents have found feedback usefulhas even led to inquiries for more information

Page 10: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 10Rami Peltola

Enabling direct individual feedback for respondents (2)

Monthly saleinquiry:

Page 11: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 11Rami Peltola

Enabling browsing of previously submitted data

Respondent have access to all the data it has previously submitted

simple short-term (sub-annual) surveys Pre-filling the form with data from previous surveys

useful especially in annual surveyshelps the respondent to remember how the figures were

compiled last year

Page 12: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 12Rami Peltola

Assuring high level data security

Data security audit by an outside consult All traffic on the Internet is SSL -encrypted An authentication / authorisation -process is always needed New user IDs and passwords every year User IDs and passwords are initially sent in a letter

only one of them can be sent by emailthe other one must always be sent in a letter or given over

by telephone Only a certain number of our staff have access to user IDs

and passwords (usually two persons per survey)

Page 13: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 13Rami Peltola

Decreasing non-response and speeding up the accumulation of the data

Response rates have remained on high level The average response time of monthly surveys has been

reducedin the best case by 7-8 days or 30%

The number of reminders sent has decreased substantiallyin the best case by 50%

The share of the respondents using EDR -solution has in most cases reached high level

sub-annual surveys > 60% (in the best case 85%)annual surveys ~ 30% (in the best case 50%)

Page 14: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 14Rami Peltola

An example: Sale inquiry Change in response media 10/2001 - 10/2004

0

200

400

600

800

1000

1200

1400

1600

Fax Mail Internet

10/2001

10/2002

10/2003

10/2004

Page 15: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 15Rami Peltola

An example: Sale inquiry

EDR users of all respondents:

after 1. month: 48%

after 2. month: 59%

after 3. month: 61%

after 4. month: 70%

Today: > 80%

Page 16: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 16Rami Peltola

An example: Sale inquiry

Reminders sent:

before EDR: ~ 1000

after 1. month: ~ 800

after 2. month: ~ 700

after 3. month: ~ 600

since 4. month: ~ 500

Page 17: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 17Rami Peltola

An example: Sale inquiry Responses per day 10/2001 (until t+45 days)

0

50

100

150

200

250

300

Due date(accumulation 31%)

Reminders(accumulation 76%)

Page 18: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 18Rami Peltola

An example: Sale inquiry Responses per day 10/2002 (until t+45 days)

0

50

100

150

200

250

300

350

400

450

Due date(accumulation 49%)

Reminders(accumulation 81%)

Page 19: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 19Rami Peltola

An example: Sale inquiry Responses per day 10/2003 (until t+45 days)

0

20

40

60

80

100

120

140

160

180

200

Due date(accumulation 68%)

Reminders(accumulation 78%)

Page 20: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 20Rami Peltola

An example: Sale inquiry Responses per day 10/2004 (until t+45 days)

0

50

100

150

200

250

Due date(accumulation 76%)

Reminders(accumulation 86%)

Page 21: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 21Rami Peltola

An example: Sale inquiry Accumulation of data 10/2001 - 10/2004

0

500

1000

1500

2000

10/2001 10/2002 10/2003 10/2004

Page 22: Development of Electronic Data  Reporting (EDR) in Statistics Finland

Costs and Benefits of EDR solutions: Business surveys

Page 23: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 23Rami Peltola

Costs of EDR

The costs of developing web-based applications and running them has dropped by 60-70% during the last three years

Average investment cost per new EDR -solution (today)An outside service provider: EUR 5000In-house solution (XCola): 150 hours of work

Maintenance costs of EDR solution per year (today)An outside service provider: EUR 1000In-house solution (XCola): 50 hours of work

Page 24: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 24Rami Peltola

Development costs: In-house EDR solutions

The in-house solutions are already in the third generation phase During the first and second phases the total resource input was

about 2.5 person yearsmore or less “learning by doing”includes the development of a secure communication

environmentincludes the implementation of 7 solutions

XCola (third generation phase) development took about 1 person year

includes the implementation of 4 solutions

Page 25: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 25Rami Peltola

Benefits of EDR to Statistics Finland (1)

Four second generation solutions have been in production for more than year

3300 respondents per month and 800 per quarter Average percentage of work saved in the data collection phase is

over 40 (2 person years) The amount of ground mail has been reduced by 64 000 or 65%

(0.5 person years) The average response time has been reduced in the best case by

7-8 days or 30% Number of reminders sent has gone down by the half Investment has paid off in about a year

Page 26: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 26Rami Peltola

Benefits of EDR to Statistics Finland (2)

The data received are of better qualityboth annual and sub-annual surveyscommon estimate is “25% less errors”comprehensive study has not been made

As manual handling diminishes, it can be replaced by more rewarding tasks

Page 27: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 27Rami Peltola

Benefits of EDR to respondents

Questionnaire is possible to be completed more rapidly Pre-filling helps respondents to remember how they have

answered previously Validity checks prevent the sending of erroneous data

no additional inquiries Same piece of information needs always to be entered only

once Respondents like to use Internet Perceived response burden has gone down

Page 28: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 28Rami Peltola

Effects of the EDR on data collection process

Printing the questionnaires Transferring data to collection database

Mailing E-mail informing (mass emailer)

Receiving the questionnaires (mail, fax, e-mail) (Electronic data supply)

Validating and entering the data On-line validations + mass validation

Printing and mailing the reminders E-mail reminder (mass emailer)

Phone inquiry Phone inquiry

Non-individual delayed feedback Individual direct feedback

Limited access to previous own data Previous own data available

Manual exclusive treatment Electronic mass treatment

Page 29: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 29Rami Peltola

Data transfers

Data transfers between collection and production databases are handled with an external application

Data from collection database is first transferred to the temporary tables in the

production databaseand then synchronized with the actual tables

Solution is quite customizableEasy to customize for new collection systemsEasy to add new databases

Page 30: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 30Rami Peltola

Mass emailer

An external application to send emails to the respondents Modular approach

New systems can be added using textual configuration files

Reply requests (list of e-mails) can be added by writing sql statements to the configuration files

Supports attachments Replaces traditional letters

Page 31: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 31Rami Peltola

An example: Sale inquiryBackground Monthly inquiry using paper forms (~2080 enterprises) Data collection process (7-8 persons: ~2.0 working years)

Printing and mailing the questionnairesReceiving the questionnaires (mail, fax, e-mail)Validating and entering the dataPrinting and mailing the remindersPhone inquiry

Quarterly non-individual feedback for respondents Previously submitted data preprinted to questionnaires for

the last 2 months

Page 32: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 32Rami Peltola

An example: Sale inquiry Purpose

To describe the economic situation in different industriesTrade: 30 branchesServices: 23 branchesConstruction: 3 branchesManufacturing: 15 branches

To respond to EU-legislationThe Regulation of the EU concerning short-term

statistics (1165/98)

Page 33: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 33Rami Peltola

An example: Sale inquiry / Source data Tax Administration’s register

Value added tax -dataDelay 2 months in turnoverThe data accumulates for 6 months

Direct data collection (sale inquiry ~2080 companies)The most largest companies from each industry

Trade: ~660 companiesServices: ~600 companiesConstruction: ~200 companiesManufacturing: ~620 companies

Business RegisterBasic information about companies: branch of industry, location, contact

information etc.

Page 34: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 34Rami Peltola

An example: Sale inquiryEnd products

Monthly indicators (newsletters and Internet releases)Trade: 30 (European sample), 45 (preliminary) and

75 days delayServices: 45 (European sample) and 75 days delayConstruction: 75 days delayManufacturing: 75 days delay

Time seriesStarts mostly from 1995 (trade from 1985)

Page 35: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 35Rami Peltola

Data collection process in sale inquiry before EDRCollecting the sales data concerning March

April

Due date

Printing and mailing the reminders

Phone inquiry for non-respondents

Printing and mailing the questionnaires

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 1 2 3 4

Manual data entering

May

Page 36: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 36Rami Peltola

Data collection process in sale inquiry todayCollecting the sales data concerning March

April

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

Transferring data to collection database

E-mail informing

Due date

E-mail reminders

1. phone inquiry for non-respondents on European sample

2. phone inquiry for non-respondents on European sample

Phone inquiry for the rest non-respondents

Electronic data transfers

Page 37: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 37Rami Peltola

EDR solution / Sale inquiry

Page 38: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 38Rami Peltola

Change in working hours used in data collection and validation (hours per year)

0

500

1000

1500

2000

2500

2001

2002

2003

2004

Page 39: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 39Rami Peltola

Hours used in development and maintenance of EDR solution (sale inquiry)

0

100

200

300

400

500

600

700

800

900

Hours

2002

2003

2004

Includes hours used in development of

infrastrucre

Page 40: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 40Rami Peltola

Experiences (1)

Feedback from respondents has been very positive:

Response burden has redused remarkably

Enthusiasm of persons involved in data collection

Manual data treatment has redused (at least by 50%)

Quality of data has improved: On-line validations, additional

information if data is not comparable etc.

Page 41: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 41Rami Peltola

Experiences (2)

Number of enquires made by respondents concerning EDR

solution:

First two months: ~100 / month (mainly questions

concerning base settings)

Since third month: ~30 / month (mainly forgotten

passwords)

Page 42: Development of Electronic Data  Reporting (EDR) in Statistics Finland

13.9.2005 A 42Rami Peltola

Effects of EDR on data quality (ESS quality dimensions)

AccuracyAutomatic validations

TimelinessMail E -mail and webManual data entering Electronic data transfers

Comparability