1.
On the Design and Implementation of a
Generalized Process for Business Statistics
Advisory Board, 19/11/2018
M. Bruno, G. Ruocco, M. Scannapieco

2.
 Objectives
 What have we done?
 GPBS Architecture
 Preliminary results:
 Metadata: GSIM compliant process metadata
 Working data: standardization of survey data and
metadata
 Statistical service proof-of-concept: data persistence,
metadata management and workflow management
Outline
2Generalized Process for Business Statistics – Advisory Board, 19/11/2018

3.
Standardization of methods, metadata and
IT tools to be used in business surveys
production chain
[AS-IS] Business Surveys [TO-BE] Integrated Surveys
3
Objectives
«GPBS has the main objective of designing and
implementing a standardized system to support
business statistics»
Generalized Process for Business Statistics – Advisory Board, 19/11/2018

4.
GPBS within the Advisory Board
 GPBS proposed to the Advisory Board in november 2017
 Main recommendations:
 data driven workflow
 generalized functionalities to integrate ad-hoc legacy
applications in a standard environment
 analysis of generalized tools developed by other NSIs
(e.g. BANFF from Stat. Canada)
4
What have we done? (1/2)
Generalized Process for Business Statistics – Advisory Board, 19/11/2018

5.
 Selected a subset of Short-Term business Statistics (STS) and
Structural Business Statistics (SBS)
 Analysed International Standards in the context of Official
Statistics:
 EARF: Enterprise Architecture Reference Framework
 CSPA: standard for sharing statistical services
 GSDEM: standard for editing & imputation
 GSIM: information objects in statistical processes
 Started the design and implementation of the TO-BE
architecture
5
What have we done? (2/2)
Generalized Process for Business Statistics – Advisory Board, 19/11/2018

6.
GPBS Architecture (1/2)
6
Source: ESS Statistical Production Reference Architecture (SPRA)
Metadata
Repository
Orchestrator
Statistical
Service
Data
Repository
Generalized Process for Business Statistics – Advisory Board, 19/11/2018

7.
GPBS Architecture (2/2)
7
Source: ESS Statistical Production Reference Architecture (SPRA)
S-META
Orchestrator
SELEMIX
WORKING
DATA
Generalized Process for Business Statistics – Advisory Board, 19/11/2018

8.
8
GSIM compliant process metadata (1/2)
S-Meta component: conceptual level model
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Metadata Team

9.
9
GSIM compliant process metadata (2/2)
S-Meta component: logical level model
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
IT Architecture Team

10.
10
Working data
Survey data and metadata modelling: from legacy systems to a
generalized data architecture
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Working Data Team

11.
11
Statistical service proof-of-concept (1/2)
Business process modelling: design and preliminary
implementation of the core functionalities of a statistical
service for selective editing
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Methodology Team

12.
12
Statistical service proof-of-concept (2/2)
Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Recommendations and service architecture
 Analyse what each step in the processes to implement requires
from the legacy apps (‘Data repository’ and ‘Working data’);
 Capture the relevant (configurable) data processing parameters;
Specification of the decision points and how the parameters affect
the process; Lightweight solution to document the schema of
inputs/outputs (‘Metadata repository’).

13.
Thank you!
13Generalized Process for Business Statistics – Advisory Board, 19/11/2018
Trying to Keep It Simple and Stupid
(KISS)