Примеры использования Statistical organisations на Английском языке и их переводы на Русский язык
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There are many common challenges for statistical organisations in this area;
Many statistical organisations currently have some sort of modernization programme.
The world is changing much faster than statistical organisations can react.
Ensure statistical organisations have human resources necessary to carry out the implementation project.
The development of projects andtools for data matching and integration in several statistical organisations;
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Statistical organisations need to improve their processes to free up resources for new developments.
At the moment the costs of change in statistical organisations are very high, sometimes prohibitively.
Other statistical organisations are invited to propose new case studies to add to the range of experiences presented.
The CS is recognised as one of the most internationally engaged statistical organisations in the Eastern Europe, Caucasus and Central Asia region.
Archiving: Statistical organisations are responsible for archiving data that are of future interest to themselves and others.
The CS plans to introduce a room for pre-testing questionnaires,along the lines of questionnaire“laboratories” found in some other statistical organisations.
The public sector and statistical organisations have to take account of these changes in their personnel strategies.
As mentioned in Chapter 4, the CS plans to introduce a room for pre-testing questionnaires,along the lines of questionnaire“laboratories” found in some other statistical organisations.
What subset of Big data should National Statistical Organisations(NSOs) focus on given the role of official statistics,?
Statistical organisations need to produce their outputs faster and in a more agile way to meet rapidly changing needs.
In response to demands from heads of national and international statistical organisations, the UNECE established a High-level Group on Business Architecture in Statistics in 2010.
All statistical organisations are under growing pressure to produce more and faster outputs with fewer resources.
Big data represents a number of critical challenges andresponsibilities for national and international statistical organisations, which relate primarily to methodological, technological, management, legal, and skills issues.
The statistical organisations still suffer a sizeable lack of expertise, staff and accumulated experience in economic statistics in market economy environment.
The seminar will focus on strategic issues andmanagerial challenges related to data collection in national statistical organisations and data sharing between organisations, including the implementation of SDMX standards.
Statistical organisations therefore need to find ways to build and maintain public trust if they wish to extend the use of secondary sources.
In response to demands from Heads of national and international statistical organisations, the UNECE recently established a High-level Group for Strategic Developments in Business Architecture in Statistics.
National Statistical Organisations(NSOs) and other statistical agencies offer the key source of official statistical information in every country.
Providing access to microdata will help statistical organisations to strengthen their position in competition with other data producers.
Several national statistical organisations are moving in this direction, particularly with regards to consolidating data collection and acquisition in a single organisational unit.
In terms of access to micro-data, National Statistical Organisations have taken very different approaches, largely driven by the differing legislative requirements.
Exploring needs: Statistical organisations should reach out to both existing and potential users to identify new needs and research the possibilities to meet them;
With limited human resources, statistical organisations face the allocation question whether to produce methodological notes of the existing methods or improve them.
Experts from statistical organisations that are closely involved in these developments, and are implementing new production methods, both within and outside the region, will share their experiences.
Exploring collaborations: Statistical organisations are not alone in the information industry, and might be able to benefit from the existence of a larger value chain.