Current and Future Applications of the Generic Statistical Business Process Model at Statistics...

Current and Future Applications of the Generic Statistical Business

Process Model at Statistics Canada

Laurie Reedman and Claude Julien

May 5, 2010

2

Overview

The Generic Statistical Business Process Model (GSBPM)

Quality Assurance Reviews Quality in Publications Quality Guidelines 5th Edition Corporate Business Architecture

• Integrated Business Statistics Program

2 Design

3 Build

4 Collect

5 Process

6 Analyse

7 Disseminate

1 Specify

Needs

3.5 Test statistical

business process

3.4Test

productionsystem

3.3

Configureworkflows

3.2 Build or enhance

processcomponents

3.1Build datacollection instrument

1.6

Preparebusiness case

1.5

Check dataavailability

1.3Establish

outputobjectives

1.2

Consult andconfirm needs

1.1Determineneeds for

information

2.6Design production

systems andworkflow

2.5Design statistical

processing methodology

2.4Design frame and sample

methodology

2.3Design datacollection

methodology

2.2Design variable

descriptions

2.1

Designoutputs

4.4

Finalize collection

4.3

Run collection

4.2

Set up collection

4.1

Select sample

5.1

Integrate data

5.2

Classifyand code

5.3 Review, validate and edit

5.4

Impute

5.5 Derive new

variables andstatistical units

5.6

Calculateweights

5.7

Calculate aggregates

6.1

Prepare draft outputs

6.2

Validate outputs

6.3

Scrutinizeand explain

6.4Apply

disclosure control

6.5

Finalize outputs

7.5Manage

usersupport

7.4Promote

disseminationproducts

7.3 Manage release of dissemination

products

7.2Produce


7.1

Update output systems

8 Archive

9 Evaluate

8.2Manage archive

repository

8.1

Define archive rules

8.3Preserve dataand associate

metadata

8.4 Dispose of dataand associated

metadata

9.1Gather

evaluationinputs

9.2

Conduct evaluation

9.3

Agree action plan

Levels 1 and 2Generic Statistical Business Process Model, version 4.0(Joint UNECE/Eurostat/OECD Work Session, April 2009)

1.4

Identify concepts

3.6 Finalize

productionsystem

5.8

Finalizedata files

4

Quality Assurance Reviews

Independent review of the execution (not design) of statistical program

Focus is on quality assurance practices Objective is to identify “best practices” as well as

areas for improvement Several programs reviewed each year Summary presented to upper management

5

Quality Assurance Reviews

Reviewer is a mid level manager with no experience in the program being reviewed

Tools to perform the review:• Program documentation

• Meetings with program area managers and staff

• Templates for the written report and presentation

• GSBPM

6

2 Design

3 Build

4 Collect

5 Process

6 Analyse

7 Disseminate

1 Specify

Needs


business process

3.4Test

productionsystem

3.3

Configureworkflows


processcomponents


1.6


1.5


1.3Establish

outputobjectives

1.2



information


systems andworkflow




methodology


methodology

2.2Design variable

descriptions

2.1

Designoutputs

4.4

Finalize collection

4.3

Run collection

4.2

Set up collection

4.1

Select sample

5.1

Integrate data

5.2

Classifyand code


5.4

Impute

5.5 Derive new


5.6

Calculateweights

5.7


6.1


6.2

Validate outputs

6.3


6.4Apply

disclosure control

6.5

Finalize outputs

7.5Manage

usersupport

7.4Promote



products

7.2Produce


7.1


8 Archive

9 Evaluate

8.2Manage archive

repository

8.1



metadata


metadata

9.1Gather

evaluationinputs

9.2

Conduct evaluation

9.3

Agree action plan

1.4

Identify concepts

3.6 Finalize

productionsystem

5.8

Finalizedata files

Factors to look for in particular:

Staffing•Renewal•Training•Workload

•Project Management•Schedule•Checklists•Documentation•Sign-off•Risk planning•Change

•Systems•Specs•Maintenance•Renewal

•Validation•Resources•Tools•Engagement

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Quality Assurance Reviews Benefits of using the GSBPM:

• Common language for describing process steps• Assurance that no steps would be overlooked

• Locate where in the process greater risks lie• Compare risks in one process to another• Identify global issues

8

Quality in Publications

Over 400 statistical programs Numerous tables, time series, publications and

papers The Daily - First line of communication Over 1,250 texts published every year

9


Some corrections after release Corrections are recorded, analyzed, summarized

and reported Corrections on accuracy are further investigated

to determine where, how and why error occurred First level of GSPBM is used to summarize and

report

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Year Texts Correction

Rate

Location of error and relative magnitude of correction

Design Build Collect Process Disseminate

Higher Lower Higher Lower Higher Lower Higher Lower Higher Lower

2006 623 2.1% 1 1 4 1 3

2007 1234 3.1% 3 6 14 2 10

2008 1260 2.2% 1 1 2 2 10 1 11

2009 1171 0.8% 2 1 2 1

2010 315 0.3% 1


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Quality Guidelines 5th Edition Describe a set of best practices for all steps of a

statistical program Target audience is those developing and

implementing the statistical program Guiding principles:

• Quality must be built in at each phase of the process• Quality is multidimensional

Guidelines for many boxes in the GSBPM

2 Design

3 Build

4 Collect

5 Process

6 Analyse

7 Disseminate

1 Specify

Needs


business process

3.4Test

productionsystem

3.3

Configureworkflows


processcomponents


1.6


1.5


1.3Establish

outputobjectives

1.2



information


systems andworkflow




methodology


methodology

2.2Design variable

descriptions

2.1

Designoutputs

4.4

Finalize collection

4.3

Run collection

4.2

Set up collection

4.1

Select sample

5.1

Integrate data

5.2

Classifyand code


5.4

Impute

5.5 Derive new


5.6

Calculateweights

5.7


6.1


6.2

Validate outputs

6.3


6.4Apply

disclosure control

6.5

Finalize outputs

7.5Manage

usersupport

7.4Promote



products

7.2Produce


7.1


8 Archive

9 Evaluate

8.2Manage archive

repository

8.1



metadata


metadata

9.1Gather

evaluationinputs

9.2

Conduct evaluation

9.3

Agree action plan

Levels 1 and 2Generic Statistical Business Process Model, version 4.0(Joint UNECE/Eurostat/OECD Work Session, April 2009)

1.4

Identify concepts

3.6 Finalize

productionsystem

5.8

Finalizedata files

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Quality Guidelines 5th Edition

Future plans to make greater use of the GSBPM:• Provide guidelines for more (all?) Level 2 steps

• Base the structure of the Quality Guidelines document on the model itself

• Locate specific guidelines by navigating through the model

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Corporate Business Architecture Challenge: maintain quality of products, use

fewer resources Corporate Business Architecture (CBA) is an

initiative to address this challenge CBA task force used the GSBPM to structure its

analysis and organize its report Embedded the GSBPM in their own Core

Business Process

Core Business Process

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Integrated Business Statistics Program

Redesign of the business statistics program Align with Corporate Business Architecture Task force recommendations

• Align services with GSBPM

• Develop and maintain a business process model

• Use corporate services, statistical processing standards, industry best practices and the Corporate Business Architecture principles wherever possible

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Conclusions

- Pre-occupation with quality assurance

- GSBPM is relatively new to us

- GSBPM is a good fit for us

- GSBPM provides a common framework and tool for communication

- Snowball effect – we are finding more and more ways to use it

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Contact information

For more information, please contact:

Pour plus d’information, veuillez contacter :

[email protected]

Current and Future Applications of the Generic Statistical Business Process Model at Statistics...

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