Competing with high data quality : concepts, tools and techniques for buliding a successful approach to data quality /

"Competing with Data Quality provides a road map for corporations to improve data quality and meet Dodd-Frank, BASEL III, Solvency II, and other pervasive regulatory oversight programs. This book outlines a holistic data quality (DQ) approach that businesses can adopt to energize their DQ innov...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Jugulum, Rajesh (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, [2014]
Temas:
Electronic data processing > Quality control.
Management.
Gestion.
management.
Electronic data processing > Quality control
Management
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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049 |a UAMI 
100 1 |a Jugulum, Rajesh,  |e author. 
245 1 0 |a Competing with high data quality :  |b concepts, tools and techniques for buliding a successful approach to data quality /  |c Rajesh Jugulum. 
264 1 |a Hoboken, New Jersey :  |b John Wiley & Sons,  |c [2014] 
264 4 |c Ã2014 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
520 |a "Competing with Data Quality provides a road map for corporations to improve data quality and meet Dodd-Frank, BASEL III, Solvency II, and other pervasive regulatory oversight programs. This book outlines a holistic data quality (DQ) approach that businesses can adopt to energize their DQ innovation processes, perfect their data gathering and usage practices, and ensure robust and reliable data is available to make judicious decisions. It also addresses the end-to-end DQ deployment process: Define, Assess, Improve and Control. Numerous cases and "lessons learned" facilitate understanding"--  |c Provided by publisher. 
520 |a "This book aims at outlining a holistic data quality (DQ) approach that businesses can adopt to energize their DQ innovation processes, perfect their data gathering and usage practices and ensure robust and reliable data is available to make judicious decisions"--  |c Provided by publisher. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Electronic data processing  |x Quality control. 
650 0 |a Management. 
650 6 |a Gestion. 
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650 7 |a Electronic data processing  |x Quality control  |2 fast 
650 7 |a Management  |2 fast 
776 0 8 |i Print version:  |a Jugulum, Rajesh.  |t Competing with data quality  |z 9781118342329  |w (DLC) 2013038107  |w (OCoLC)864391312 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781118416495/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
994 |a 92  |b IZTAP 

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