data quality - significado y definición. Qué es data quality
Diclib.com
Diccionario ChatGPT
Ingrese una palabra o frase en cualquier idioma 👆
Idioma:

Traducción y análisis de palabras por inteligencia artificial ChatGPT

En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:

  • cómo se usa la palabra
  • frecuencia de uso
  • se utiliza con más frecuencia en el habla oral o escrita
  • opciones de traducción
  • ejemplos de uso (varias frases con traducción)
  • etimología

Qué (quién) es data quality - definición


Data quality         
STATE OF QUALITATIVE OR QUANTITATIVE PIECES OF INFORMATION
Data quality assurance; Data quality control; Data Quality; Quality data
Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning".
Data Quality Act         
AMERICAN LAW REGARDING MAXIMIZING QUALITY OF INFORMATION ACROSS GOVERNMENT
Information Quality Act
The Information Quality Act (IQA) or Data Quality Act (DQA), passed through the United States Congress in Section 515 of the Consolidated Appropriations Act, 2001 (). Because the Act was a two-sentence rider in a spending bill, it had no name given in the actual legislation.
Quality of Data (QoD)         
Quality-of-Data (QoD) is a designation coined by L. Veiga, that specifies and describes the required Quality of Service of a distributed storage system from the Consistency point of view of its data.
Ejemplos de uso de data quality
1. GAVI performs "data quality audits" that test the validity of official counts by following the data trail in four health districts per country.
2. In March, the Fish and Wildlife Service acknowledged it violated the Data Quality Act of 2000 by issuing documents based on faulty assumptions about the habitat of Florida‘s endangered panthers.
3. One GAO study, " Efforts to Help Reduce Adverse Effects on the Public," made no recommendations regarding the list‘s maintenance –– a very rare occurrence for GAO audits –– "because agencies have ongoing initiatives to improve data quality, reduce the number of misidentifications or mitigate their effects, and enhance redress efforts." A recent example is the Terrorist Encounter Review Process.
4. The political will, however, is there on the part of these countries, which may begin submitting data in the foreseeable future. «A total of '2 countries are currently submitting monthly data for this highly–acclaimed initiative,» said Ambassador Arne Walther, secretary general of the International Energy Forum (IEF). «The challenge is now to include more countries, reduce delay in data submissions and enhance data quality despite the fact that the coverage and reliability of data is at a reasonable level, even today,» said the IEF chief, here Sunday night.
5. Tom Golden, spokesman for data company Informatica Corporation which carried out the survey, said: ‘Local councils are already buckling under the amount of waste caused by unaddressed junk mail. ‘This study shows that poor data quality and the amount of incorrectly targeted direct mail is adding to the problem. ‘At the very least, companies need to get name and address details correct or potentially alienate customers – which flies in the face of their objective to attract people to their brand. ‘What‘s worse for companies is that inaccurate data produces irrelevant mail that winds up straight in the bin, equating to an immediate loss of a much–needed marketing budget.‘ Informatica said firms were sending mail to ‘people that have passed away‘, causing much stress to their families, and people who had moved to a different address.