Utvidet returrett til 31. januar 2025

Toward Quality Data

- An Attribute-based Approach

Om Toward Quality Data

A groundbreaking new approach to data quality management, based on the use of attributes to measure and improve data quality, developed by a team of experts from the Sloan School of Management. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781019956205
  • Bindende:
  • Hardback
  • Utgitt:
  • 18. juli 2023
  • Dimensjoner:
  • 156x234x6 mm.
  • Vekt:
  • 240 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 11. desember 2024

Beskrivelse av Toward Quality Data

A groundbreaking new approach to data quality management, based on the use of attributes to measure and improve data quality, developed by a team of experts from the Sloan School of Management.
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.
This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.
Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Brukervurderinger av Toward Quality Data



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