Librería: booksdeck, Santa clara, CA, Estados Unidos de America
EUR 36,89
Cantidad disponible: 2 disponibles
Añadir al carritoSoftcover. Condición: NEW. Brand new book. International edition printed overseas but with similar contents as compared to the US edition. Same day shipping with tracking.
Idioma: Inglés
Publicado por Morgan Kaufmann Publishers, 2008
ISBN 10: 0123743699 ISBN 13: 9780123743695
Librería: ThriftBooks-Reno, Reno, NV, Estados Unidos de America
EUR 42,25
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Morgan Kaufmann Publishers, 2008
ISBN 10: 0123743699 ISBN 13: 9780123743695
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 42,25
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Añadir al carritoPaperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Morgan Kaufmann Publishers, 2008
ISBN 10: 0123743699 ISBN 13: 9780123743695
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 42,25
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Añadir al carritoPaperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Morgan Kaufmann Publishers, 2008
ISBN 10: 0123743699 ISBN 13: 9780123743695
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 42,25
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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Morgan Kaufmann Publishers, 2008
ISBN 10: 0123743699 ISBN 13: 9780123743695
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 42,25
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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Librería: medimops, Berlin, Alemania
EUR 50,00
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Añadir al carritoCondición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 57,77
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
EUR 67,35
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Añadir al carritoCondición: New. pp. xviii + 325 Illus.
Idioma: Inglés
Publicado por Morgan Kaufmann 2008-08-22, 2008
ISBN 10: 0123743699 ISBN 13: 9780123743695
Librería: Chiron Media, Wallingford, Reino Unido
EUR 56,05
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Morgan Kaufmann Publishers In, 2008
ISBN 10: 0123743699 ISBN 13: 9780123743695
Librería: Greener Books, London, Reino Unido
EUR 57,34
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Used; Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, 2021
ISBN 10: 0128180153 ISBN 13: 9780128180150
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 69,98
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 77,44
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, 2021
ISBN 10: 0128180153 ISBN 13: 9780128180150
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 79,79
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 78,87
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 63,91
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Añadir al carritoPaperback. Condición: Brand New. illustrated edition. 352 pages. 11.00x8.75x1.00 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 75,09
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Añadir al carritoCondición: New. pp. 420.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 69,97
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Añadir al carritoCondición: New.
EUR 85,79
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. xviii + 325.
Idioma: Inglés
Publicado por Academic Press 2021-05-25, 2021
ISBN 10: 0128180153 ISBN 13: 9780128180150
Librería: Chiron Media, Wallingford, Reino Unido
EUR 71,37
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Añadir al carritoPaperback. Condición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 76,00
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Añadir al carritoCondición: New. In.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 88,75
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 420.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, US, 2021
ISBN 10: 0128180153 ISBN 13: 9780128180150
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 94,01
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work - with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations - for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 78,90
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 92,29
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. New Copy. Customer Service Guaranteed.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, 2021
ISBN 10: 0128180153 ISBN 13: 9780128180150
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 83,83
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 2021. 2nd Edition. Paperback. . . . . .
Idioma: Inglés
Publicado por Elsevier Science & Technology, 2008
ISBN 10: 0123743699 ISBN 13: 9780123743695
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 71,06
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
EUR 84,62
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. xviii + 325.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 86,84
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 420.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, US, 2021
ISBN 10: 0128180153 ISBN 13: 9780128180150
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 104,40
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work - with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations - for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before.