Page 225 - Contributed Paper Session (CPS) - Volume 6

CPS1904 Tímea B. et al.
Keywords
seasonal adjustment; modernization; business architecture; metadata

1. Introduction
The Hungarian Central Statistical Office constantly develops process-
oriented operations and standardises its Business Architecture. (UNECE, 2015)
1
Integrated methods, integrated methodology and integrated tools are aimed
to provide the standardisation for various statistical subject-matter domains
and for the whole system of official statistics.
The Hungarian Central Statistical Office has been involved in important
standardisation projects, e.g. ESSnet on Standardisation (ESSnet on
Standardisation, 2015) and one of the UNECE Common Statistical Production
Architecture Catalogue team (Catalogue of Common Statistical Production
Architecture services, 2014). In 2015 the management of the Hungarian
Central Statistical Office has accepted the enterprise architecture (based on
Common Statistical Production Architecture), and since then we are working
on its implementation.
The aim of this paper is to describe a new tool, called Plutus that handles
the metadata of seasonal adjustment. Plutus is a good example for the
standardisation a sub-process of the statistical data production business
process.

2. Business Architecture and Seasonal adjustment
The Hungarian Central Statistical Office is constantly moving towards a
process-oriented operation and standardising its Business Architecture. The
Hungarian Central Statistical Office has already begun to move towards a
more standardised BA. The adaptation of the UNECE standard Generic
Statistical Business Process Model ver. 5.0 to the Hungarian needs (called
‘Egységes Statisztikai Folyamat Modell’) a few years ago was the major first
step to realise this strategic goal (HCSO, 2018). Since the first version of the
‘Egységes Statisztikai Folyamat Modell’ many developments have started to
move the statistical business processes towards process-orientation. This
Hungarian Generic Statistical Business Process Model is the model for
statistical business processes, by which we, at the Hungarian Central Statistical
Office mean the statistical data production process as well as processes related
to statistical registers’ maintenance and survey frame production. This model
is also suited for describing other statistical processes like classifications’

1 ‘Business Architecture covers all the activities undertaken by a statistical organization,
including those undertaken to conceptualize, design, build and maintain information and
application assets used in the production of statistical outputs. Business Architecture drives
the Information, Application and Technology architectures for a statistical organization.’
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