National Data Centre and Financial Statistics Office: A Conceptual Design for Public Data Management

Murat Cakir

MPRA Paper from University Library of Munich, Germany

Abstract: Data processes run by states, governments and the like have been a great deal and as old as the modern human history. Data had always been important. Tons were collected and siloed, but never in the past had its importance been felt as much as it had been when the last crisis broke out in 2008. Because these tons of data either, as some were redundant and occupying large spaces with huge storage costs, were not useful given the processing power and due to outdated mind-sets, or were not even the tiniest portion of the data necessary to do analysis , the experts realised. With the advances in the digital world dealing with data has become easier. Combined with the urgent needs and demands from the bottom up and top down there now is more enlightened and educated perception of data and whatever its extensions are, and its / their potential use, though a little bit late. In the late 90s, however, things were not as computerised and DataeXve was not as Big as it is today, and manual operations dominated the automated ones. There were definitely inefficiencies in DataeXve. Still, even then, there were efforts to improve these processes. This work focuses on one of those early efforts.

Keywords: Data management; Data Centralisation; Big Data and Systemic Risk Diagnosis (search for similar items in EconPapers)
JEL-codes: C80 C81 C82 C89 D8 D85 E01 G32 G33 Y1 (search for similar items in EconPapers)
Date: 2014-01-20
New Economics Papers: this item is included in nep-ict
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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https://mpra.ub.uni-muenchen.de/74410/9/MPRA_paper_74410.pdf revised version (application/pdf)

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