1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data...

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1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing and Editing: A perspective of South Africa Data Processing System A presentation by South African Data Processing Team

Transcript of 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data...

Page 1: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

1Census 1996, 2001 & Community Survey (CS)

United Nations Regional Workshop on Census Data Processing Contemporary Technology from

Census Data Capturing and Editing:

A perspective of South Africa Data Processing SystemA presentation by

South African Data Processing TeamDar-es-Salaam, Tanzania, 9-13 June 2008

Page 2: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

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The presentation layout• Introduction• Data processing Goal• Planning phase• Design of Data Processing System• System Development & Testing • Implementation & Operations

– Process flow– Document Management System – Progress reporting – Tool of scanning– Exceptions– Quality Assurance (QA)

• Accounting or Balancing process• Data validation & Editing• Tabulation and output products

Page 3: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

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Introduction• Data Processing is considered as part of Survey operations

value chain (Proper define accountability structure);

• There is a define inter-dependency links with other Census sections (i.e. questionnaire design, Data collection,…);

• Heavily dependent on the available support in information technology around the country (Outsourcing of management of the system);

• Tight project management principle checking timeline, resources and detailed production lines

• Obliged to adapt on ever changing technology (1996 KFP, 2001 Census scanning, 2007 scanning with old scanner, 2011 Census scanning with upgraded scanners)

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To accurately process or convert the statistical information from different collection tools such as the questionnaire into a comprehensive electronic data that is clean, accurate, consistent and reliable.

Goal of Data Processing

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Planning phase• Going through the lessons learned from previous censuses and surveys (1996 Census,

2001 census, 2007 Community Survey)

– Preparation of processing site• In 1996 Census, distributed data processing centre in 9 provinces• In 2001 Census and 2007 CS centralized data processing centre

– Mode of Data Capturing• In 1996 Census Manual capturing (key from paper) running on SQL database with interface developed in

visual basic • In 2001 Census and 2007 CS: Use of proprietary scanning technology linked to Oracle database

– Census Budget• The 1996 Census budget estimated at 500 Million Rand • The 2001 Census budget estimated at 1.2 Billion Rand • The 2007 CS budget estimated at 600 Million Rand

– Human Resource• The 1996 Census have more staff for key from paper (options considered for Job creation across the

country)• The 2001 Census and 2007 CS has a reduced number of staff supporting the scanning technology working

on shifts

– Duration• The 1996 Census data capturing was planned for 12 Months• The 2001 Census was planned for 6 months. However, the period was extended 18 months due to not

tested new technology• The 2007 CS took only 3 months as planned

– Systems design and specifications• In 2001 Census, system specification & development was reviewed during implementation• In 2007 CS, most the system specification & development were completed and tested before the production

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Planning phase• Strategic plan

– There is a policy on standard procedure in terms of documentation, process flow, metadata, concepts managed by DMID (Data Management and Information Delivery) project ;

– Common strategy across surveys program by using scanning technology with control of transaction in database

– Moving toward a Centralised Corporate data processing Centre ( store management,…)

– Accounting of production transaction tracking the questionnaire using a barcode;

– Measurement of quality at each process of the production (;

– Having a permanent team of data processors in order to keep the experience while build the capacity;

– Acceptance of any system or module into production after it has gone through testing phase to avoid the experience of 2001 Census of untested system;

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• Operational plan & Budget

– Since 2001 Census, there is a detailed activities list, sub-activities and tasks with timelines (start and end date) and responsible persons;

– Since 2007 CS, each activity is linked to budget in what is called activity/task base costing;

– Since 2007 CS, there is an independent and dedicate team in charge of project management and monitoring of activities;

– A list of documents and other derivable are submitted to the project management team (PMO) to keep track of the progress;

– Development of performance indicators for PMO to track which will give the daily production counts per process;

– Based on activities costing, the budget has never been an issue, except in 2001 Census when the project went beyond the planned period.

Planning phase

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Design of Data Processing• The data processing team get the user requirement from the questionnaire design team and

data collection team;

• The team comprised by Data processors, system analyst (1 person), programmers, statisticians and Data technologist (IT technicians) prepare the overall design specifications;

• The data processing team is supplemented by the Data Collection team in the management of production and staff management on flow;

• The scanning module of the system is out source (in 2001 a consortium of companies , but in 2007 CS one company was accountable);

• In 2007 CS, the data processing project management was controlled in house to avoid the lack of accountability observed in 2001 Census where it was done by external (PROCON)

• Since the workflow was changing in 2001Census, a approved workflow with the operation procedure manual was ready in 2007 CS before the start of production

• The functional specifications where done only in 2007 CS as part of overall system specification;

• The technical specifications were completed for as build system in 2001 Census whereas the 2007 CS specification where done before any implementation.

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System Development & Testing• In 1996 Census, the system development was done by in-house team supported by the Swedish

consultants;

• In 2001 Census, the system development was outsourced to local based company that put together a consortium of service providers in project management, system development, scanner specialist/maintenance, Image and recognition software;

• In 2007 CS, the system development and project management was done in-house outsourcing only the scanning software and scanner maintenance;

• In 1996 Census, only unit test was conducted whereas the 2001 Census, most of the tests (unit tests, production load test,…) were conducted while in production already;

• In 2007 CS, all tests were done before production:

– For instance, the background colour drop out was tested in 2007 CS whereas the blue colour background in 2001 Census required a blue light in scanner (tested after months of production);

– The decision on exception handling was done during production in 2001 Census (rescan or transcription) whereas in 2007 CS, the questionnaire were send to Key From Paper (KFP) or Key From Image (KFI);

– In 2007 CS, false-positive reading were reduce by introducing voting rules between two different recognition engines whereas in 2001 Census all false-positive reading were sent to verification stage (Tiling and Completion/Key correction)

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Implementation & Operations• Operational procedures

– In 2001 Census, operational procedure manual was prepared during production;– In 2007 CS, the operational procedure was in place before training– Every day production account is produced (extraction from Oracle database)

• Recruitment– In 1996 Census, the production staff were selected based on keying speed only;– In 2001 Census, the production staff were recruited based on each process

requirement; – In 2007 CS, the production staff have versatile skills as data processors and can move

between processes depending on needs as determined by the flow manager.– In 2001 Census, staff worked 24 hours, 7 days a week in 3 shifts. In 2007 CS, only one

shift was managed to meet the deadline.

• Training– IN 2001 Census, training was conducted by service provider (PROCON) whereas in

1996 Census and 2007 CS, the training was by the senior data processors, system developers and statistician who were part of the design team.

• Preparation of work environment– In 1996 Census used 9 sites. In 2001 Census, one warehouse site and in 2007 CS,

there were two sites (one for main storage and the other for the production. – Site preparation including partitioning, hardware and networking installed one month

before the end of Census field operation.

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High Level Process Flow

5CSAS

Receiving

3CSAS

Barcode Matching

2DMS Box

content re-verification

3Primary

Preparation

4Guillotine

1 Document Management System

8Post-Scanning

Box check

4CSAS

ReducedContent

Verification

6Secondary Preparation

7Scanning

43Determine Cause

44Fast Track

Back in sto

re &

CS

AS

ch

ecks

13Normalisation

15Database

17Key from Image

16Sample

42Output Database

2CSAS

Content Verification

CSAS Database

DPS Database

Export

Accuracy Check (95%)

5De-activate qn from box and

Create box for KFP

Transfer only if >= 95%Exception Path

Physical Movement Path

Data Movement Path

CS Data Processing Process Flow Ver 3.0

Failed <= 95%Passed >= 95%

11Recognition/

Interpret

12Verify/Tiling/Completion

14Transfer/Export

10Image

validations + Form

Identification

Validation Fail

9De-activate qn from box and

Create KFP box

CSAS

Scanning & Recognition

DMS

QA & Validation + Key from Image

Scannable

Con

firm

ed g

ood

box

Content confirmed

Sca

nnab

le

New

KF

P b

ox c

reat

ed

Key from Paper

Post-scanning check pass

Box barcode checking pass

Non Scannable (damaged)

New KFP box created

No

Yes

Yes

No

Yes

Yes

Yes

Yes

No

NoNo, scannable

No

No, damaged

18Key from Paper

(1st Capture)

19KFP Database 1

20Key from Paper (2ndt Capture)

21KFP Database 2

Accuracy Check (95%)

Passed >= 95%

Fai

led

<=

95%

22Unrecognisable cases

Sign-off (Balancing)

Split coding fields

12Verify/Tiling/Completion coded fields

12Automated

coding

12On screen

coding (resolution)

Automated Coding

44Manual editing

Operations cont…

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Document Management System• Tracking the documents movement across processes

• Accounting of all transactions including the production staff login;

• Database driven (SyBase in 1996, Oracle in 2001 and 2007);

• Progress reporting per user, per function and per process

• Reporting gives the performance management (speed, time, production unit,…)

Operations cont…

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Progress reportingCS 2007 Data Processing Progress Report Date:

Constants 17,387 284,244 251,775 32,469

Boxes

Overall Progress

Process Buffer Work in Progress

Completed Total Outstanding Percentage Complete

Start Date End Date Start Date End Date Required target per

day Average production per

day

Estimated days for completion based on

current average New End Date

(Lead) or Delay Days in Terms of

Complete A B C D E F G H I J K L M N O P

Check Out DPC store - - 17,387 17,387 - 100.00% 03 Apr 07 01 Jun 07 02 Apr 07 11-Jun-07 446 - - - 0Check In OM store - - 17,387 17,387 - 100.00% 03 Apr 07 01 Jun 07 02 Apr 07 11-Jun-07 446 - - - 0Store audit verification - - 17,387 17,387 - 100.00% 04 Apr 07 01 Jun 07 04 Apr 07 11-Jun-07 458 - - - 0Primary preparation and Guillotine - - 17,304 17,304 - 100.00% 11 Apr 07 01 Jun 07 11 Apr 07 11-Jun-07 524 - - - 0KFP (Manual Coding, FirstCapture and Second Capture)

- - 61 83 22 73.49% 28 May 07 29 Jun 07 12 Jun 07 4 - - - 0

Secondary preparation - - 17,304 17,304 - 100.00% 12 Apr 07 08 Jun 07 12 Apr 07 11-Jun-07 468 - - - 0Scanning - - 17,015 17,015 - 100.00% 12 Apr 07 08 Jun 07 12 Apr 07 11-Jun-07 460 - - - 0Post Scan Checkout - - 17,015 17,015 - 100.00% 12 Apr 07 08 Jun 07 12 Apr 07 11-Jun-07 460 - - - 0

Daily ProgressProcess Fri 22 Jun Mon 25 Jun Tue 26 Jun Wed 27 Jun Thu 28 Jun Fri 29 Jun Mon 02 Jul

Check Out DPC store - - - - - - - Check In OM store - - - - - - - Store audit verification - - - - - - - Primary preparation and Guillotine - - - - - - - KFP (Manual Coding, FirstCapture and Second Capture)

- - - - - - -

Secondary preparation - - - - - - - Scanning - - - - - - - Post Scan Checkout - - - - - - -

Questionnaires

Overall Progress

Process Buffer Work in Progress

Completed Total Outstanding Percentage Complete

Start Date End Date Start Date End Date Required target per

day Average production per

day

Estimated days for completion based on

current average New End Date

(Lead) or Delay Days in Terms of

Complete A B C D E F G H I J K L M N O P

Store Audit Verification - - 284,244 284,244 - 100.00% 04 Apr 07 01 Jun 07 04 Apr 07 11-Jun-07 7,480 - - - 0Primary preparation and Guillotine - - 281,840 281,840 - 100.00% 04 Apr 07 01 Jun 07 11 Apr 07 11-Jun-07 7,417 - - - 0KFP (Manual Coding, FirstCapture and Second Capture)

- - 1,902 2,404 502 79.12% 28 May 07 29 Jun 07 12 Jun 07 - 120 0 - - 0

Secondary Preparation - - 281,840 281,840 - 100.00% 12 Apr 07 08 Jun 07 12 Apr 07 11-Jun-07 7,617 - - - 0Scanning - - 247,746 247,746 - 100.00% 12 Apr 07 08 Jun 07 12 Apr 07 11-Jun-07 6,696 - - - 0Character Recognition 1,141 - 246,605 247,746 1,141 99.54% 13 Apr 07 15 Jun 07 24 Apr 07 - 6,043 1,905 1 2-Jul-07 18Tiling 218 - 246,387 247,746 1,359 99.45% 16 Apr 07 15 Jun 07 24 Apr 07 - 6,194 2,742 0 2-Jul-07 17Completion 1,605 - 244,782 247,746 2,964 98.80% 16 Apr 07 15 Jun 07 24 Apr 07 - 6,194 3,080 1 2-Jul-07 18Data export -1,740 - 246,522 247,746 1,224 99.51% 07 May 07 15 Jun 07 07 May 07 - 9,910 7,524 0 2-Jul-07 17Sampled for QA - 246,200 247,746 1,546 99.38% 14 May 07 22 Jun 07 - - 9,910 10,605 0 2-Jul-07 10Quality Assurance 3,500 - 242,700 247,746 5,046 97.96% 21 May 07 22 Jun 07 - - 12,387 25,190 0 2-Jul-07 10Coding - - - 247,746 247,746 0.00% 21 May 07 22 Jun 07 - - 12,387 - - - 0KFI (Exception resolution) 586 - 49,390 49,976 586 98.83% 14 May 07 29 Jun 07 - - 1,666 3,233 0 2-Jul-07 3Sign-off - - 240,423 247,746 7,323 97.04% 02 May 07 29 Jun 07 - - 6,520 3,233 2 4-Jul-07 5

Number of boxes to be processedNumber of Questionnaires in boxes (Final Result Code 0-9)Number of Questionnaires in boxes (Final Result Code 1,4)-ProcessableNumber of Questionnaires in boxes Not Processable

Monday 02 Jul 2007

Planned Actual

Actual Planned

Operations cont…

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Progress reportingOverall Progress - Boxes

0%

20%

40%

60%

80%

100%

Check Out DPCstore

Check In OMstore

Store auditverif ication

Primarypreparation and

Guillotine

KFP (ManualCoding,

FirstCapture andSecond Capture)

Secondarypreparation

Scanning Post ScanCheckout

Completed Work in ProgressBuffer Outstanding Overall Progress - Questionnaires

-20%

0%

20%

40%

60%

80%

100%

Store AuditVerif ication

Primarypreparation

and Guillotine

KFP (ManualCoding,

FirstCaptureand Second

Capture)

SecondaryPreparation

Scanning CharacterRecognition

Tiling Completion Data export Sampled forQA

QualityAssurance

Coding KFI (Exceptionresolution)

Sign-off

Completed Work in Progress

Buffer Outstanding

Daily Progress - Questionnaires

-

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

18,000

20,000

Fri 22 Jun Mon 25 Jun Tue 26 Jun Wed 27 Jun Thu 28 Jun Fri 29 Jun Mon 02 Jul

Data exportTilingCompletionTarget Automated Processes

Daily Progress - Boxes

0

10

20

30

40

50

60

70

80

90

100

Fri 22 Jun Mon 25 Jun Tue 26 Jun Wed 27 Jun Thu 28 Jun Fri 29 Jun Mon 02 Jul

Target Manual Processes

KFP (Manual Coding, FirstCaptureand Second Capture)

.

Cumulative Progress - Scanning - Planned vs Actual

-

50,000

100,000

150,000

200,000

250,000

300,000

Thu 1

2 A

pr

Fri 1

3 A

pr

Sat 14

Apr

Sun 1

5 A

pr

Mon

16 A

pr

Tue 1

7 A

pr

We

d 1

8 A

pr

Thu 1

9 A

pr

Fri 2

0 A

pr

Sat 21

Apr

Sun 2

2 A

pr

Mon

23 A

pr

Tue 2

4 A

pr

We

d 2

5 A

pr

Thu 2

6 A

pr

Fri 2

7 A

pr

Sat 28

Apr

Sun 2

9 A

pr

Mon

30 A

pr

Tue 0

1 M

ay

We

d 0

2 M

ay

Thu 0

3 M

ay

Fri 0

4 M

ay

Sat 05

Ma

y

Sun 0

6 M

ay

Mon

07 M

ay

Tue 0

8 M

ay

We

d 0

9 M

ay

Thu 1

0 M

ay

Fri 1

1 M

ay

Sat 12

Ma

y

Sun 1

3 M

ay

Mon

14 M

ay

Tue 1

5 M

ay

We

d 1

6 M

ay

Thu 1

7 M

ay

Fri 1

8 M

ay

Sat 19

Ma

y

Sun 2

0 M

ay

Mon

21 M

ay

Tue 2

2 M

ay

We

d 2

3 M

ay

Thu 2

4 M

ay

Fri 2

5 M

ay

Sat 26

Ma

y

Sun 2

7 M

ay

Mon

28 M

ay

Tue 2

9 M

ay

We

d 3

0 M

ay

Thu 3

1 M

ay

Fri 0

1 J

un

Sat 02

Jun

Sun 0

3 J

un

Mon

04 J

un

Tue 0

5 J

un

We

d 0

6 J

un

Thu 0

7 J

un

Fri 0

8 J

un

Production Days

Nu

mb

er

of

Qu

esti

on

nair

e

Planned

Actual

Operations cont…

Page 15: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

15Census 1996, 2001 & Community Survey (CS)

Tool of scanning

• Kodak 9520D

– Used in 2001 Census;– Used in 2007 CS;

• Differential scanner feeding (pages by page and/or batches);

• Barcode recognition at scanning time

Operation cont…

Page 16: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

16Census 1996, 2001 & Community Survey (CS)

Exceptions• Questionnaires transcription:

– Damaged – Unscannable – Inconsistent page numbering– Unique identifier (barcode)

• Key From Paper (KFP):

– Poor image quality– Faint writing– Missing pages– Wrong unique identifier (Enumerator Area, Dwelling Unit & Household Number)

• False-Positive reading:

– Poor software recognition – Poor image quality – Incomplete text (character)– Unrecognized mark or character

• Failed quality checks:

– Quality rate below the threshold (95% accurate rate)

Operation cont…

Page 17: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

17Census 1996, 2001 & Community Survey (CS)

Quality Assurance (QA)

• In 1996 Census, the quality was implemented as part of double keying without any measurement attached to it;

• In 2001 Census, the quality was measured at scanning time (check image quality) and after data capturing (Key from Image of the sampled batches (the threshold was 97%);

• In 2007 CS, the sample of captured were subjected to second capture comparing with the first capture where the agreement rate was determined (the threshold was 95% reduced due to good image quality):

– For scanned cases: sample keyed from image and calculation of an

agreement rate;

– For exceptional cases: 100% double keyed from Paper and calculation of agreement rate;

Operation cont…

Page 18: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

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Accounting or Balancing process

• After capturing, each questionnaire is accounted for linked to the geographical area (EA) and having the correct data structure (household, persons,….) before any export;

• In 1996 Census, the export process of captured data into SAS/ASCII for for post-capture process (editing and tabulation);

• In 2001 Census, the balancing process took longer because of lack of reference link to the EA of postal questionnaire (self-enumeration);

• In 2007 CS, a Census and Administration System (CSAS) assisted in getting the full account of the questionnaires linked to their referenced geography;

Page 19: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

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Data validation & Editing• In 1996, the adopted strategy was not to impute any derived value. Only

manual editing was allowed;

• In 2001 Census, based on editing specification with the assistance of US Bureau of Census, an automated editing was implemented using IMPS/CSpro. The 2007 CS follows the same approach used in 2001 Census.

• Different editing report with imputation rates were produced to an editing committee which come out with the rule to apply for correction;

• In 2001 Census and 2007 CS, limited manual editing were implemented;• One of key editing rule is the removal of minimal processable cases caused by

poor recognition or false-positive reading;

• Though the editing has been in ASCII, the output database is exported with in different formats (i.e. users driven: ASCII, Oracle, SAS, Oracle,…) linked with the metadata;

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Data validation & editing Cont…

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Tabulation and output products

• Since Stats SA policy is to give access to data users, the strategy is to put the Census data in different format to increase accessibility and promote data use;

• In 1996 Census, the output database was packaged in SuperCorss database and a set of aggregated databases put on CD for the users;

• In 2001 Census, the access to the data was increased by adding on the online processing tabulation tools (PX-Web), the SuperCross, reduced ASCII file,….

• In 2007 CS, the data is also available in different format (SuperCross, ASCII file, PX-web and other map/chart linked tools

• The traditional reports are still produced based on tabulation plan/output reports

Page 22: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

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Benefit of scanning Technology

• Improve the Quality of the Data

• Save Time

• Reduce Costs

Page 23: 1 Census 1996, 2001 & Community Survey (CS) United Nations Regional Workshop on Census Data Processing Contemporary Technology from Census Data Capturing.

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THANK YOU!