Development of Electronic Data Reporting (EDR) in Statistics Finland - PowerPoint PPT Presentation

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Development of Electronic Data Reporting (EDR) in Statistics Finland

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Data security (collection and production databases) ... Validity checks prevent the sending of erroneous data. no additional inquiries ... – PowerPoint PPT presentation

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


1
Development of Electronic Data Reporting (EDR)
in Statistics Finland
2
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

3
Three generations
  • Building cost index 2001
  • sub-annual survey
  • built using Microsoft Windows DNA (Distributed
    iNternet Application Architecture)
  • 6 EDR solutions 2002-2004
  • both sub-annual and annual surveys
  • VB.NET
  • 4 EDR solutions 2005
  • sub-annual surveys
  • XCola

4
Data Provider relations and response rates
Business surveys
5
Background
  • Traditionally high response rates in annual and
    sub-annual business surveys
  • up to over 99
  • persistent staff
  • Good relations with data providers
  • experienced staff
  • many continuous personal contacts
  • usually long-lasting relationships
  • high level of trust

6
Infrastructure and atmosphere for EDR in Finland
  • High level of using the Internet
  • almost every enterprise has access to internet
  • business surveys are typically made for the
    largest enterprises
  • Positive atmosphere for using internet for
    transactions with the government
  • respondents are even enthusiastic about using
    Internet
  • Its fun to fill in web forms instead of paper
    ones!

7
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

Cost-efficiency
Accuracy
Timeliness
Data providerrelations
8
Reducing response burden
  • Using e-mail for informing the survey and sending
    the reminders
  • link 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

9
Enabling direct individual feedback for
respondents (1)
  • Motivates respondent to use EDR -solution instead
    a paper form
  • For example enterprises own data compared with
    the data of its own industry
  • Respondents have found feedback useful
  • has even led to inquiries for more information

10
Enabling direct individual feedback for
respondents (2)
  • Monthly saleinquiry

11
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 surveys
  • helps the respondent to remember how the figures
    were compiled last year

12
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 email
  • the 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)

13
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 reduced
  • in the best case by 7-8 days or 30
  • The number of reminders sent has decreased
    substantially
  • in the best case by 50
  • The share of the respondents using EDR -solution
    has in most cases reached high level
  • sub-annual surveys gt 60 (in the best case 85)
  • annual surveys 30 (in the best case 50)

14
An example Sale inquiry Change in response
media 10/2001 - 10/2004
15
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 gt 80

16
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

17
An example Sale inquiry Responses per day
10/2001 (until t45 days)
Due date (accumulation 31)
Reminders (accumulation 76)
18
An example Sale inquiry Responses per day
10/2002 (until t45 days)
Due date (accumulation 49)
Reminders (accumulation 81)
19
An example Sale inquiry Responses per day
10/2003 (until t45 days)
Due date (accumulation 68)
Reminders (accumulation 78)
20
An example Sale inquiry Responses per day
10/2004 (until t45 days)
Due date (accumulation 76)
Reminders (accumulation 86)
21
An example Sale inquiry Accumulation of data
10/2001 - 10/2004
22
Costs and Benefits of EDR solutions Business
surveys
23
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 5000
  • In-house solution (XCola) 150 hours of work
  • Maintenance costs of EDR solution per year
    (today)
  • An outside service provider EUR 1000
  • In-house solution (XCola) 50 hours of work

24
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 years
  • more or less learning by doing
  • includes the development of a secure
    communication environment
  • includes the implementation of 7 solutions
  • XCola (third generation phase) development took
    about 1 person year
  • includes the implementation of 4 solutions

25
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

26
Benefits of EDR to Statistics Finland (2)
  • The data received are of better quality
  • both annual and sub-annual surveys
  • common estimate is 25 less errors
  • comprehensive study has not been made
  • As manual handling diminishes, it can be replaced
    by more rewarding tasks

27
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

28
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-individ
ual delayed feedback ? Individual direct
feedback Limited access to previous own data ?
Previous own data available Manual exclusive
treatment ? Electronic mass treatment
29
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 database
  • and then synchronized with the actual tables
  • Solution is quite customizable
  • Easy to customize for new collection systems
  • Easy to add new databases

30
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

31
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 questionnaires
  • Receiving the questionnaires (mail, fax, e-mail)
  • Validating and entering the data
  • Printing and mailing the reminders
  • Phone inquiry
  • Quarterly non-individual feedback for respondents
  • Previously submitted data preprinted to
    questionnaires for the last 2 months

32
An example Sale inquiry Purpose
  • To describe the economic situation in different
    industries
  • Trade 30 branches
  • Services 23 branches
  • Construction 3 branches
  • Manufacturing 15 branches
  • To respond to EU-legislation
  • The Regulation of the EU concerning short-term
    statistics (1165/98)

33
An example Sale inquiry / Source data
  • Tax Administrations register
  • Value added tax -data
  • Delay 2 months in turnover
  • The data accumulates for 6 months
  • Direct data collection (sale inquiry 2080
    companies)
  • The most largest companies from each industry
  • Trade 660 companies
  • Services 600 companies
  • Construction 200 companies
  • Manufacturing 620 companies
  • Business Register
  • Basic information about companies branch of
    industry, location, contact information etc.

34
An example Sale inquiryEnd products
  • Monthly indicators (newsletters and Internet
    releases)
  • Trade 30 (European sample), 45 (preliminary)
    and75 days delay
  • Services 45 (European sample) and 75 days delay
  • Construction 75 days delay
  • Manufacturing 75 days delay
  • Time series
  • Starts mostly from 1995 (trade from 1985)

35
Data collection process in sale inquiry before
EDRCollecting the sales data concerning March
Manual data entering


April
May
36
Data collection process in sale inquiry
todayCollecting the sales data concerning March
Electronic data transfers
April

Transferring data to collection database
Due date
E-mail reminders
E-mail informing
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
37
EDR solution / Sale inquiry
38
Change in working hours used in data collection
and validation (hours per year)
39
Hours used in development and maintenance of EDR
solution (sale inquiry)
Includes hours used in development of infrastrucre
40
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.

41
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)

42
Effects of EDR on data quality (ESS quality
dimensions)
  • Accuracy
  • Automatic validations
  • Timeliness
  • Mail ? E -mail and web
  • Manual data entering ? Electronic data transfers
  • Comparability
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