Page 226 - Contributed Paper Session (CPS) - Volume 6

CPS1904 Tímea B. et al.
maintenance, producing questionnaires, data files, publications, etc, but only
to those processes, which are directly related to statistical data.
Practical areas of use of the Hungarian Generic Statistical Business Process
Model are methodological standardization, process documentation, process
monitoring, process management, process optimization, quality measuring.
Standardised methodologies can be developed based on existing practices.
Furthermore existing solutions and creating methodological resolutions for
potentially missing elements can be standardised. With the process
optimisation the permanent process can be improved (even reorganised) in
favour of efficiency and success.
The Hungarian Central Statistical Office considers the common statistical
business process model the core of its Business Architecture and is currently
investing a lot of resources on ongoing organizational, process-management,
methodological and IT activities.
This paper presents a methodological development from this
modernisation activity for the field of seasonal adjustment. The Hungarian
Central Statistical Office implemented modernization in seasonal adjustment
which contributed to the use of integrated, standard applications.
The comprehensive goal of the Hungarian Central Statistical Office is to
create generic and independent applications (keeping in mind the principles
of service-oriented architecture) for the support of the data process phases
(horizontally) and this was also the case with Plutus.
The Hungarian Central Statistical Office’s integrated, standard information
technology systems are mostly metadata-driven systems and cooperate with
each other as shown on Figure 1. The Plutus is not yet a metadata-driven tool,
but in the future it is planned to be developed according to this principle. This
development helps the standardisation of the sub-process and improves the
quality of seasonal adjustment.
During the modernization this standard information technology tool
(Plutus) has been developed. Plutus allows the subject-matter domains to
manage the information of time series through this standard application
instead of a questionnaire. Plutus is a system of databases with a user friendly
interface, which fully uses metadata.
The purpose is to ensure the controllability of the maintenance through
proper coordination. The main aspects of the overview is the supervision of
the technical requirements, the content and the main observation factors.
These are the completeness and the correctness of the metadata.

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