- We will send in 10–14 business days.
/images/books/14806703/9789292708153.jpg)
- Publisher: Asian Development Bank
- ISBN-10: 9292708155
- ISBN-13: 9789292708153
- Format: 21.6 x 27.9 x 0.6 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Enhancing Data Management Through the Statistical Data and Metadata eXchange Standard (e-book) (used book) | bookbook.eu
Reviews
Description
This publication explains how developing economies that adopt the Statistical Data and Metadata eXchange (SDMX) standard will benefit from enhanced efficiency in data collection, production, and exchange.
In today's data-driven world, the efficient exchange, analysis, and dissemination of statistical data is vital for informed decision-making and policy formulation across both government and the private sector. However, the entry of new data producers and a surge in available data poses challenges for traditional statistical entities, compelling them to innovate while maintaining data quality. In response, the SDMX standard has emerged as a solution, offering a comprehensive framework to streamline data activities and promote interoperability.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 20d.17:52:58
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Asian Development Bank
- ISBN-10: 9292708155
- ISBN-13: 9789292708153
- Format: 21.6 x 27.9 x 0.6 cm, softcover
- Language: English English
This publication explains how developing economies that adopt the Statistical Data and Metadata eXchange (SDMX) standard will benefit from enhanced efficiency in data collection, production, and exchange.
In today's data-driven world, the efficient exchange, analysis, and dissemination of statistical data is vital for informed decision-making and policy formulation across both government and the private sector. However, the entry of new data producers and a surge in available data poses challenges for traditional statistical entities, compelling them to innovate while maintaining data quality. In response, the SDMX standard has emerged as a solution, offering a comprehensive framework to streamline data activities and promote interoperability.
Reviews