Page 252 - Invited Paper Session (IPS) - Volume 2

IPS236 Eva L.
The V7 statistical cooperation established in 2005 is a professional forum. The
aim of the V7 is to facilitate scientific progress and theoretical, practical
development of statistics in the region. Provide a regional forum for the
discussion of statistical issues and take up a position in professional matters.
Maintain contact with the national statistical societies in the region as well as
offer support to nascent statistical societies in the region and contribute to
the elaboration of the Codes of professional statistical ethics in the region.
The statistical associations mentioned above represent different
„geographical levels” of cooperation, they constitute in a certain sense
regional cooperation. I am convinced that each of the cooperation has its
mission and tasks, in the majority of the cases they are facing quite similar
specificities, same problems and motivations.

2.3. The feature of changes
The significant changes that have taken place in the past years concern the
whole statistical process, they influence the aims, tasks, methodology of
statistics, but they change the functioning of the statistical actors as well.
Let us think about the need of standardising, harmonising statistical
concepts, definitions, and the global treatment of statistical systems.
The „wealth of information, data” caused by information explosion urges
statisticians to replace “traditional data collections” by new data sources (Big
Data, AI, remote sensing data, etc.). While new data sources allow to produce
statistical data, information more quickly and in a cheaper way, the new
procedures decrease respondent burden as well. Despite their advantages,
methodological challenges are much greater than previously. The focus on the
methodology of data collections is shifted towards the use of mathematical
statistical methods, modelling. Nowadays statistical work requires a greater
integration of mathematics and other sciences.
Similar considerations apply to the processing of statistical data as well.
Due to the explosive development of IT, innumerable IT tools are at the
disposal of statisticians. Nowadays IT developments allow „tailor-made”
solutions for statistics, statistical data processing can be governed by
statisticians. In Hungary a good example is EAR (Unified Data Processing
System) developed by the Hungarian Statistical Office. EAR speeds up
statistical data processing, improves data quality, it secures a better
documented validation of data processing, and allows even automatic
reprocessing of the statistical data. What is important is that statistical data
processing belongs to the competence of statisticians, it integrates statistical
and IT work for statisticians.
The elaboration, introduction of new methodologies, the use of new IT
tools require the reconsideration of statistical knowledge too. Not to speak

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