1. Best GSBPM practices, Israel Central Bureau of Statistics Battia ATTALI, Elena DROR
MEDSTAT IV, Training course on “Generic Statistical Business Process Model (GSBPM)”
From 25 to 27 July 2017 – Rome, Italy

2. GSBPM Initial Awareness phase at ICBS 2014 – 2016
EU-Israel Twinning project with Denmark ( )
GSBPM introduced
Experimental mapping of statistical processes (GSBPM phase level)
Recommendation:
GSBPM is to be used together with SIMS for statistical metadata
Workshop of the Modernisation Committee on Standards (2015): International Collaboration for Standards-Based Modernisation
Workgroup on a Modernisation Maturity Model and Roadmap for Implementing Modernstats Standards (2016)

3. GSBPM Pre-Implementation phase 2016 - 2017
Within a large Quality component of the 2nd EU-Israel Twinning Project with Denmark ( )
Translation of GSBPM into Hebrew
Pilot Quality audit review of 5 statistical processes using GSBPM
Adoption of a quality assessment procedure for ICBS
GSBPM model used to conduct quality audit reviews
GSBPM model of the statistical process produced/revised
Use of GSBPM model as management tool in the planning of the upcoming census
GSBPM role in the work of the Committee for the review of Surveys costs
GSBPM role in the work of the Committee for the Reform of Incentive Pay

4. GSBPM in ICBS Quality Assessment procedure
Questionnaire based on
CoP
(& QAF)
Incl. Quality reports on statistics
Review process based on GSBPM model
Map/review of the GSBPM sub-processes
Incl. review of Quality reports

5. GSBPM – a management tool for upcoming census
The model was used to ensure coverage of all sub- processes in phases: Specify Needs, Design and Build
The model will be used to build the overall work plan for the census, including all units involved and needed resources – procurement and staff
The model will be used as a reference model in monitoring the progress of the work done by all units in all sub-process for next phases: Collect, Process, Analyze, Disseminate, Evaluate

6. GSBPM role in the work of the Committee for for the Review of Surveys costs
The problem
Our surveys are expensive – not affordable by most ministries: the main cost is staff work-hours
Is it a problem of quality requirements, adequacy of work processes or efficiency?
The idea
Characterize the involvement of all units in surveys design and implementation, (all phases) and calculate associated costs
Units involved in ICBS: Subject unit, Budget unit, IT Dept., Survey unit, Methods Dept., Accounting unit, Quality management Dept.
Distinguish between business and social surveys, new/ periodic/ one- time surveys, CATI/ CAPI/ CAWI surveys
For each sub-process: Who, What, When, Where, Why

7. GSBPM role in the work of the Committee for the Reform of Incentive Pay (I)
The problem
ICBS unit managers formulate quarterly work-plans and outputs, and quarterly evaluate and report their achievements
Staff is rewarded with incentive pay, while a central QA unit is in charge of monitoring and reviews
Subject units are particularly difficult to monitor – there is no standard description of production (sub)-processes
The idea
Use GSBPM phases to describe quarterly work-plans and outputs of statistical processes conducted by subject units
Subject units will be encouraged to map their work to GSBPM
QA reviews will use the subject units mapping of statistical processes to GSBPM

8. GSBPM role in the work of the Committee for the Reform of Incentive Pay (II)
Some open issues
Content issues
Should we define a template for describing phases ? – e.g. process description, input, output, quality/metadata management activities, other units involved…
Integration of sub-process descriptions with instructions to workers?
Would actual (input and) output be linked to quarterly documentation?
Work plan coordination issues
In case one unit depends on the input provided by another unit, how to ensure the input has been defined as an output in the other unit work plan?
How to integrate the work done by different (support) units (IT, surveys, Methods, Dissemination, GIS etc. ) in phases and sub-processes description?
How to integrate GSBPM documentation with other documentations?

9. General Integration issues
How to integrate the different modernization activities into one initiative …
… from the point of view of subject units

10. Background: Many modernisation projects initiated at ICBS between 2015-2017
Within ICBS
Adoption of COP and QAF by ICBS
Adoption of SIMS for statistical documentation - application developed, staff trained, pilot conducted and first implementation round
Staff, steering committee and task force appointed for Metadata work
New department created for Statistical Quality Management (1.5 staff)
A roadmap established for the creation of the Israeli NSS
(Growing) Steering Committee on Quality, Metadata and Coordination (Statistical quality, Total Quality, Dissemination, Statistical coordination, Metadata management etc)
International
CSPA activities: Workshop on Modernisation of statistical production, ( ), Eurostat Workshop on Implementing the Common Statistical Production Architecture (2017)

11. Need to integrate and harmonize “stove-pipes” - for subject units benefit
Quality Assurance of statistical processes
Review of SIMS
Process audit review by GSBPM
Process mapping with GSBPM
Quality documen-tation in website, Int’l orgs, SDMX
SIMS for each subject in website
SDMX
SDDS+
...
GSBPM Process documen-tation
Process meta- data
Para- data
Work plans
Costs
Subject structure
In Dissemi-nation
In Website
VS organi- zational units
Micro-data sets
Micro data data-base
PUF
Research datasets
Metadata manage-ment
SIMS for each stat. process
Concepts
Variables
Surveys
Cross- cutting subjects
Quality Assurance of statistical processes
Review of SIMS
Process Review by GSBPM
Process mapping with GSBPM
Quality documen-tation in website, Int’l orgs, SDMX
SIMS for each subject in website
SDMX
SDDS+
...
GSBPM Process documen-tation
Process meta- data
Para- data
Work plans
Costs
Subject structure
In Dissemi-nation
In Website
VS organi- zational units
Micro-data sets
Micro data data-base
PUF
Research datasets
Metadata manage-ment
SIMS for each stat. process
Concepts
Variables
Surveys
Cross- cutting subjects
Quality Assurance of statistical processes
Review of quality reports - SIMS
Process audit review by GSBPM
Process mapping with GSBPM
Quality documen-tation in website, Int’l orgs, SDMX
Quality reports for each subject in website
SDMX
SDDS+
...
GSBPM Process documen-tation
Process meta- data
Para- data
Work plans
Costs
Subject structure
In Dissemi-nation
In Website
VS organi- zational units
Micro-data sets – Data and Metadata
Micro data data-base
PUF
Research datasets
Metadata manage-ment
SIMS documentation for each statistics & stat. process
Concepts
Variables
Classifi-cations
Surveys
Cross- cutting subjects

12. Need for integration and harmonization of “stove-pipes” - for subject units benefit
Quality Assurance of statistical processes
Review of SIMS
Process audit review by GSBPM
Process mapping with GSBPM
Quality documen-tation in website, Int’l orgs, SDMX
SIMS for each subject in website
SDMX
SDDS+
...
GSBPM Process documen-tation
Process meta- data
Para- data
Work plans
Costs
Subject structure
In Dissemi-nation
In Website
VS organi- zational units
Micro-data sets
Micro data data-base
PUF
Research datasets
Metadata manage-ment
SIMS for each stat. process
Concepts
Variables
Surveys
Cross- cutting subjects
Quality Assurance of statistical processes
Review of SIMS
Process Review by GSBPM
Process mapping with GSBPM
Quality documen-tation in website, Int’l orgs, SDMX
SIMS for each subject in website
SDMX
SDDS+
...
GSBPM Process documen-tation
Process meta- data
Para- data
Work plans
Costs
Subject structure
In Dissemi-nation
In Website
VS organi- zational units
Micro-data sets
Micro data data-base
PUF
Research datasets
Metadata manage-ment
SIMS for each stat. process
Concepts
Variables
Surveys
Cross- cutting subjects
Quality Assurance of statistical processes
Review of quality reports- SIMS
Process audit review by GSBPM
Process mapping with GSBPM
Quality documen-tation in website, Int’l orgs, SDMX
Quality reports for each subject in website
SDMX
SDDS+
...
GSBPM Process documen-tation
Process meta- data
Para- data
Work plans
Costs
Subject structure
In Dissemi-nation
In Website
VS organi- zational units
Micro-data sets – Data and Metadata
Micro data data-base
PUF
Research datasets
Metadata manage-ment
SIMS documentation for each statistics & stat. process
Concepts
Variables
Classifi-cations
Surveys
Cross- cutting subjects

13. Need for integration and harmonization of “stove-pipes” - for subject units benefit
Quality Assurance of statistical processes
Review of SIMS
Process audit review by GSBPM
Process mapping with GSBPM
Quality documen-tation in website, Int’l orgs, SDMX
SIMS for each subject in website
SDMX
SDDS+
...
GSBPM Process documen-tation
Process meta- data
Para- data
Work plans
Costs
Subject structure
In Dissemi-nation
In Website
VS organi- zational units
Micro-data sets
Micro data data-base
PUF
Research datasets
Metadata manage-ment
SIMS for each stat. process
Concepts
Variables
Surveys
Cross- cutting subjects
Quality Assurance of statistical processes
Review of SIMS
Process Review by GSBPM
Process mapping with GSBPM
Quality documen-tation in website, Int’l orgs, SDMX
SIMS for each subject in website
SDMX
SDDS+
...
GSBPM Process documen-tation
Process meta- data
Para- data
Work plans
Costs
Subject structure
In Dissemi-nation
In Website
VS organi- zational units
Micro-data sets
Micro data data-base
PUF
Research datasets
Metadata manage-ment
SIMS for each stat. process
Concepts
Variables
Surveys
Cross- cutting subjects
Quality Assurance of statistical processes
Review of quality reports- SIMS
Process audit review by GSBPM
Process mapping with GSBPM
Quality documen-tation in website, Int’l orgs, SDMX
Quality reports for each subject in website
SDMX
SDDS+
...
GSBPM Process documen-tation
Process meta- data
Para- data
Work plans
Costs
Subject structure
In Dissemi-nation
In Website
VS organi- zational units
Micro-data sets – Data and Metadata
Micro data data-base
PUF
Research datasets
Metadata manage-ment
SIMS documentation for each statistics & stat. process
Concepts
Variables
Classifi-cations
Surveys
Cross- cutting subjects
Example of Integrated Roadmap
Set ICBS fundamental units of reference:
Concepts, Variables,
Classifications
Statistical processes and micro-datasets for dissemination purposes,
Surveys …
Map statistical processes to SIMS reports, output datasets, organizational units and subject structure,
Build partial SIMS - incl. Concepts glossary
Map stat. processes to GSBPM phases ….

14. The GAMSO Integration challenge
Organi-zation Level
Statistical process
Level

15. The GAMSO Integration challenge
Organi-zation Level
Statistical process
Level

16. ICBS top-management meeting room

17. Questions?
Thank you!